Pocketful

Blog

  • Best Artificial Intelligence (AI) Stocks In India 2026

    Best Artificial Intelligence (AI) Stocks In India 2026

    Artificial Intelligence (AI) is now a reality and is no longer confined to the realms of science fiction. It is rapidly transforming industries and shaping our daily lives. A good investor always identifies opportunities before others, and artificial intelligence is one industry that can deliver exceptional returns in the future.

    Many Indian companies are driving the AI revolution, and the best part is that the general public can also invest in them through stock markets. In today’s blog, we will explore the best Artificial Intelligence stocks in India based on their market capitalization and their recent returns. We will also discuss the services offered by these companies and the future of the AI industry.

    Overview of AI industry in India

    India’s AI market is expected to reach $17 billion by 2027, with a CAGR of 25% to 35%. India is a major contributor of AI talent worldwide, with 16% of the world’s AI talent coming from India. This ranks India as one of the top three talent markets. The demand for customization and integration of business processes creates a prime opportunity for companies to deliver professional services tailored to integrate them with existing systems and data. AI could greatly contribute to India’s economy. Estimates show it can add $1 trillion by 2035. 

    Additionally, data privacy and security are of utmost importance when adopting AI, and India should have strong regulations to ensure the responsible development of AI.

    Top AI Stocks Based on the Market Capitalisation

    The top AI stocks in 2026 are:

    S.No.AI Stocks
    1Tata Consultancy Services (TCS)
    2Infosys
    3HCL Technologies
    4Wipro
    5Tech Mahindra

    The AI stocks have been listed in descending order based on their market capitalization in the table below:

    CompanyCurrent Market Price (INR)Market Capitalisation (in INR crore)52-Week High52-Week Low
    TCS2,99010,81,971 4,041 2,867
    Infosys1,5026,08,809 1,903 1,307
    HCL Tech1,5874,30,659 1,780 1,303
    Wipro2322,43,254 321 225
    Tech Mahindra1,6461,61,261 1,854 1,209
    (Data as of 10 February 2026)

    Best AI Stocks in India Based on Market Capitalization – An Overview

    The best AI stocks in India are given below, along with a brief overview of the services they provide:

    1. Tata Consultancy Services (TCS)

    Tata Consultancy Services is an Indian multinational IT services and consulting company. TCS is headquartered in Mumbai, India. TCS has over 603,305 trained consultants in 55 countries.

    TCS was founded in 1968 when Mr Fakir Chand Kohli brought together a young team of IT professionals. TCS offers a range of IT services in the following domains:

    • Artificial Intelligence
    • Cloud services
    • Consulting
    • Cybersecurity

    2. Infosys

    Infosys is a global IT services and consulting company that offers digital services and consulting. The company was established in 1981 in Pune by seven engineers with a capital of $250. It currently operates with 317,240 employees and has a presence in over 56 countries. It is headquartered in Bangalore, India.

    Initially, the company focused on providing software consulting and development services to US clients. With time, the company pioneered the Global Delivery Model (GDM), which allowed remote execution with cost advantage. The tech giant went public in 1993. Infosys offers a range of IT services in the following domains:

    • Next-Generation Integrated AI Platform
    • Infosys Consulting
    • Cloud-based services
    • Blockchain

    3. HCL Technologies

    Earlier known as Hindustan Computers Limited, it is another key player in the Indian technology industry. The company is headquartered in Noida, India and has an employee strength of over 227,481.

    HCL Technologies offers a range of tech services, which include:

    • Helping clients incorporate AI in their business processes.
    • Digital solutions to increase the efficiency of the client’s business.
    • R&D services to accelerate product development and increase returns.
    • Cloud Services

    4. Wipro

    Wipro is a leading technology services and consulting company that builds innovative solutions that address clients’ most complex digital transformation needs. It has over 225,000 employees.

    The company was founded in 1945 by M.H. Hasham Premji. It initially emphasized selling consumer goods and vegetable oils. In 1981, Wipro diversified its operations into the IT business under the leadership of Azim Premji, who is still a respected figure in the Indian IT industry.

    Wipro offers a range of IT services which includes:

    • Helping businesses migrate to the cloud and leverage its benefits for scalability and efficiency.
    • Providing consulting and implementation services to help companies adapt to the digital age.
    • Creating and maintaining custom software applications for several needs.
    • Developing and implementing AI-powered solutions and integrating robotic automation for advanced functions.
    • Managing and optimizing non-core business processes for cost savings and improved efficiency.

    5. Tech Mahindra

    Tech Mahindra is a part of the Mahindra Group and was founded in 1986. The company employs 138,000 employees and is present in over 90 countries. The company offers innovative and customized information and technology services that help enterprises, associates, etc.

    The company offers a range of services in the following domains:

    • Artificial Intelligence
    • Digital Enterprise applications
    • Cloud & Infrastructure services
    • Strategy & Consulting

    Top AI Stocks Based on 1 Year Return

    The top AI stocks in 2026 are:

    S.No.AI Stocks
    1Oracle Financial Services Software Ltd.
    2Bosch Ltd.
    3Kellton Tech Solutions Ltd.
    4Zensar Technologies Ltd.
    5Cyient Ltd.

    The AI stocks have been listed in descending order based on their 1 year returns in the table below:

    Company1 Year Return 
    Oracle Financial Services Software Ltd-22.01%
    Bosch Ltd27.21%
    Kellton Tech Solutions Ltd-38.20%
    Zensar Technologies Ltd-31.74%
    Cyient Ltd.-27.79%
    (Data as of 10 February 2026)

    Read Also: Best Artificial Intelligence (AI) Smallcap Stocks

    Best AI Stocks in India Based on 1 Year Return – An Overview

    The best AI stocks according to 1 year return are given below, along with a brief overview of the services they provide:

    1. Oracle Financial Services Software Ltd.

    Oracle Financial Services Software Ltd. (OFSS) is a subsidiary of Oracle Corporation and has its headquarters in Mumbai. It helps financial institutions such as banks launch new products and build customer-centric digital solutions with the help of Oracle’s AI-driven applications and cloud services. It has been using machine learning to improve detection, deep learning to find patterns and natural language processing (NLP) to extract data. It offers a range of services listed below:

    • Anti-money laundering & Financial Crime Compliance
    • Cloud Infrastructure
    • Risk and Finance
    • Payments
    • Corporate Banking

    Know the Returns:

    1Y Return (%)3Y Return (%)5Y Return (%)
    -22.01%130.84%126.81%
    (Data as of 10 February 2026)

    2. Bosch Ltd.

    Bosch is a German multinational company headquartered in Gerlingen, Germany. It was established in 1886 and has offices worldwide. It has the largest development center in India outside Germany for the development of engineering and technology solutions. Bosch Center of Artificial Intelligence is an important part of Bosch Research and specializes in deploying AI technologies into products & services. Bosch also offers services in the following areas:

    • Neuro – Symbolic AI
    • Deep Learning
    • Natural Language Processing
    • Probabilistic Modeling
    • Reinforcement Learning

    Know the Returns:

    1Y Return (%)3Y Return (%)5Y Return (%)
    27.21%104.88%118.87%
    (Data as of 10 February 2026)

    3. Kellton Tech Solutions Ltd.

    Kellton Tech Solutions Ltd. ((KTSL) is an Indian multinational company with its headquarters in Hyderabad, India. It provides AI and ML solutions, which can be used to process data and extract insights at a great pace. It offers Utilitarian AI, which can be used to convert computer vision to text. Other services offered include:

    • Predictive analytics
    • Generative AI
    • Machine Learning
    • NextGen Services

    Know the Returns:

    1Y Return (%)3Y Return (%)5Y Return (%)
    -38.20%60.30%6.79%
    (Data as of 10 February 2026)

    4. Zensar Technologies Ltd.

    Zensar Technologies is a major player in the Indian AI industry and is a subsidiary of the RPG group. It is headquartered in Pune, India and has offices in 33 global locations. Zensar’s AI/ML-driven Smart Advisor enables users to navigate market data with exceptional speed and accuracy. It analyzes market news, interprets positive and negative sentiments and provides a future outlook. It provides great value in incorporating ESG risk scores into decision-making processes. The company also offers services in the following domains:

    • AI engineering buddy
    • Accelerated generative AI
    • Cloud strategy 
    • Automation

    Know the Returns:

    1Y Return (%)3Y Return (%)5Y Return (%)
    -31.74%147.83%168.38%
    (Data as of 10 February 2026)

    5. Cyient Ltd. 

    Cyient Ltd. is an Indian multinational technology company with its headquarters in Hyderabad, India. It was founded in 1991 as Infotech Enterprises Ltd and was later renamed Cyient in 2014. In 2023, Cyient collaborated with Microsoft to make a product named “EnGeneer”, which will help in automating engineering processes. Cyient aims to use the Microsoft Azure OpenAI Service to deliver products in the future. It also provides services in the following domains:

    • Generative AI
    • Cybersecurity
    • Cloud services
    • Asset insights

    Know the Returns:

    1Y Return (%)3Y Return (%)5Y Return (%)
    -27.79%18.59%70.27%
    (Data as of 10 February 2026)

    Key Performance Indicators (KPIs)

    CompanyROE (%)ROCE (%)Debt to EquityP/E P/B
    TCS50.7363.51032.2516.71
    Infosys29.7736.81027.329.59
    HCL Tech2327.920.0327.136.87
    Wipro14.8117.860.1926.53.93
    Tech Mahindra8.8411.70.0662.895.55
    Oracle Financial Services Software Ltd.28.2435.240.0042.2813.95
    Bosch Ltd.20.6619.480.0040.349.41
    Kellton Tech Solutions Ltd.14.4318.30.2921.363.03
    Zensar Technologies Ltd.18.6623.630.0025.486.3
    Cyient Ltd.16.0320.610.1129.756.49
    (all the above data is of year ended March 2025) 

    Read Also: What is AI Washing? Definition, Tips, Evolutions & Impact

    Benefits of Investing in AI Stocks

    AI stocks can be a valuable addition to the portfolio due to the following benefits:

    • Future Growth: The artificial intelligence industry is expected to grow multifold in the coming years, which will cause a rise in the prices of AI stocks.
    • Diversification: AI stocks provide diversification benefits and protect investor portfolios from market fluctuations.
    • Multiple revenue sources: Artificial intelligence has applications in many industries that provide numerous revenue sources for AI companies.

    Factors to Consider Before Investing in AI Stocks

    Artificial intelligence is a fairly new industry, and there is a lot of uncertainty surrounding it. Investors must be cautious and consider the following factors before investing in AI stocks:

    Factors To Consider Before Investing In AI Stocks
    • Competition: Investors should identify the industry leader as they will benefit from competitive advantage in the future.
    • Financial Health: Investors should analyze financial statements and look for companies with strong fundamentals.
    • Ethical Considerations: AI can also be used for unethical practices, which can damage a company’s reputation. Investors should avoid such companies. 
    • Regulations: Investors should stay informed about the new regulations applicable to the AI industry and judge their impact on the stock price of AI companies.

    Future of the AI Industry

    The future of the AI industry looks bright due to the following factors:

    1. The development of more powerful and affordable computer chips, especially those designed for AI applications, is helping create more effective AI models.
    2. The exponential growth of data is driving the rapid advancement of AI technology. AI algorithms need large amounts of data to learn and enhance their capabilities.
    3. Investments in AI are increasing from both private and public sectors, which helps fund research and development and create new AI applications.
    4. Nowadays, businesses are looking for methods to automate tasks, and AI is considered an important technology for achieving this.

    Read Also: 5 Top Artificial Intelligence Penny Stocks in India

    Conclusion

    The AI industry in India is growing rapidly because of a large talent pool, consistent government support, and expanding digital infrastructure. However, the road ahead has hurdles. The industry needs more skilled workers and stronger regulations because of data privacy concerns. Even though there are certain challenges, the benefits of AI are undeniable, and as far as AI stocks are concerned, they offer a great avenue for investment. It is important to consider several factors, such as market volatility, competition, etc. and consult a financial advisor before making any investment decision.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Best Logistics Stocks in India
    2List of Aviation Stocks in India
    3Best Midcap IT Stocks List
    4Best Shipping Stocks in India
    5Top 10 Most Expensive Stocks in India
    6Best FMCG Penny Stocks in India to Buy
    7List of Best Cement Stocks in India
    810 Best Agro Chemicals Sector Stocks
    9List of Best Railway Stocks in India
    10List Of Best Footwear Stocks in India
    11Best Air Purifier Stocks in India

    Frequently Asked Questions (FAQs)

    1. What is AI?

      Artificial intelligence is a field that uses technology to perform advanced tasks like learning and problem-solving.

    2. Why would AI stocks be a good investment?

      AI stocks are good investment options because of the high demand for AI solutions, the potential for technological breakthroughs and increased government support.

    3. How can we ensure responsible AI development?

      Open discussions, addressing ethical concerns, and strong regulations are important for responsible AI development.

    4. Will AI take away all our jobs?

      While some jobs might be automated, AI is also expected to create new opportunities in different work areas.

    5. What are some other AI stocks in India?

      AI stocks in India are TCS, Infosys, Wipro, etc.

  • What is TREPS & Why Mutual Funds Invest in it?

    What is TREPS & Why Mutual Funds Invest in it?

    Financial markets today offer a wide variety of financial products to investors. There is a lot of information about financial products, and you may see something new daily. If you’ve ever looked through a mutual fund’s portfolio, you’ve probably noticed that some of your money is invested in “TREPS.” Are you certain about what it is and why practically every mutual fund has a portion allocated to it?

    In this blog, we will explore TREPS, its features, advantages, disadvantages, and the reasons behind mutual funds investing in TREPS.

    What is TREPS?

    TREPS stands for “Tri-Party Repo Dealing System”, which facilitates the borrowing and lending of funds in a Tri-Party Repo arrangement. Tri-party repo is a type of repo contract where a third entity (other than the borrower and lender) acts as an intermediary between the two parties to facilitate services like collateral selection, payment, settlement, custody, and management during the life of the transaction. It serves as a mechanism for managing liquidity, allowing mutual funds to park their excess capital. 

    Why Mutual Fund Invest in TREPS?

    Why Mutual Fund Invest in TREPS

    Mutual funds invest in TREPS for various reasons listed below:

    • Liquidity: It provides mutual fund flexibility to manage the liquidity for daily needs, as it easily converts securities into cash to meet daily redemptions. Quick conversion into cash also allows mutual funds to take advantage of investment opportunities.
    • Safety: Since TREPS are backed by Government of India securities, they are considered one of the safest short-term investment avenues. This makes them ideal for managing temporary surpluses without taking on high risk.
    • Earnings: It allows the mutual funds to earn a return on the idle cash and helps increase the overall return.
    • Regulatory Requirement: SEBI regulations require mutual funds to maintain a portion of their portfolios in highly liquid instruments. TREPS fulfil this requirement and help funds stay compliant.
    • Portfolio Diversification: Investment in TREPS provides diversification benefits and reduces exposure to market fluctuations.

    Impact of TREPS on Mutual Fund NAV

    The impact of investing in TREPS on the mutual fund’s NAV depends on various factors, such as current market conditions, current portfolio mix, and the size and duration of investments in TREPS.

    Investing in TREPS offers higher returns than cash, which increases net asset value (NAV).

    On the other hand, a sizable investment in TREPS can result in lower returns in the long run, and thus, NAV reduces.

    Key Players in Mutual Fund TREPS transaction

    The key players involved in mutual fund TREPS transactions are as follows-

    • Sellers: These entities initiate the transaction by selling the securities and agreeing to buy them back later.
    • Buyers: The buyer is a counterparty that purchases securities and earns interest.
    • Tri-Party Agent: These agents provide services such as collateral selection, payment, settlement, custody, and transaction management. They are critical in reducing counterparty risk.
    • Custodian: The custodian stores the securities, ensures their safety, and makes them available at the time of settlement. Its role is usually combined with that of a tri-party agent. 
    • Clearing Corporation: CCIL (Clearing Corporation of India Limited) serves as a clearing house, ensuring that all the executed trades are settled properly and maintaining accounts for all members.
    • Regulatory Bodies: The regulatory bodies such as SEBI (Securities and Exchange Board of India) set guidelines to protect the investor’s interest.

    Read Also: Long-Term Capital Gain (LTCG) Tax on Mutual Funds

    Advantages of TREPS

    TREPS offers the following advantages to its investors:

    1. A mutual fund holds some cash to meet redemption requests. Instead of holding cash, they invest in TREPS as they are highly liquid.
    2. It also allows mutual funds to earn additional income, increasing the overall yield of the portfolio.
    3. Through TREPS, mutual funds can reduce the volatility of a portfolio.
    4. It allows them to manage their cash flows efficiently and act actively on market opportunities.
    5. TREPS is considered a risk-free investment option as the government backs it. 

    Disadvantages of TREPS

    Disadvantages of TREPS are:

    1. Investment in TREPS offers lower returns when compared with other opportunities available in the market.
    2. The involvement of a third party increases the complexity of the transaction, which also increases its cost.
    3. Most mutual funds have investments in TREPS, eventually leading to the concentration of risk.
    4. TREPS are subject to market risk due to changes in interest rates, which can affect the return of mutual funds. 

    Read Also: Shariah-Compliant Mutual Funds: Should You Invest?

    Conclusion

    In conclusion, investing in TREPS offers mutual funds a safe, flexible approach to managing capital and boosting portfolio return while preserving adequate liquidity. They also have a positive impact on the mutual fund NAV in the short term, but a longer investment horizon can result in lower returns and negatively impact the NAV. 

    TREPS are affected by interest rate changes and often offer lower returns than other asset classes. Speak with your investment advisor if you intend to invest in mutual funds. 

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1What Is An IPO Mutual Fund? Should You Invest?
    2Mutual Fund Taxation – How Mutual Funds Are Taxed?
    3Is Your Mutual Fund Investment Safe?
    4What is an Open-Ended Mutual Fund & How to Invest in it?
    5How to Cancel Mutual Fund SIP?
    6How Interest Rates Impact Mutual Funds in India

    Frequently Asked Questions (FAQs)

    1. Who do mutual funds put their money in TREPS?

      Mutual funds must place their assets in liquid securities like TREPS to comply with SEBI regulations requiring them to have a certain amount of cash on hand to fulfill investor redemption requests. 

    2. What does TREPS stand for?

      TREPS stands for Tri-Party Repo Dealing System.

    3. Who can participate in TREPS?

      Any institutional investor, including banks, mutual funds, etc., is eligible to invest in TREPS if they meet the regulatory compliance guidelines provided by SEBI and have the required infrastructure.

    4. Is it safe to invest in TREPS?

      Yes, it is safe to invest in TREPS as the government backs the underlying assets.

    5. Does TREPS generate higher returns than traditional savings accounts?

      TREPS investments have the potential to yield larger returns than traditional savings accounts, which is why mutual funds find them attractive.

  • Correlation vs Regression: What’s The Difference?

    Correlation vs Regression: What’s The Difference?

    Financial markets have become increasingly complex due to the availability of huge quantities of financial data. In order to process financial data, finance professionals have adopted various statistical tools. Statistical tools can be used to analyze market trends and the relationships between two variables and, most importantly, gain an edge over competitors. Two key tools in this regard are correlation and regression.

    In today’s blog, we will learn about correlation and regression, their uses, types, and the differences between them.

    Correlation vs Regression

    What is Correlation?

    It measures the strength and direction of a linear relationship between two variables and shows how two things change together but does not always mean one causes the other. Correlation can be used in stock markets to explain how stock prices and any other variable move relative to each other. It also finds applications in portfolio management.

    A strong correlation means that variables change together consistently. A weak correlation means the changes are less consistent. Furthermore, correlation does not mean causation. The fact that two things change simultaneously does not mean that one is the cause of the other. There could be a third factor affecting both variables. Correlation is computed as correlation coefficient, denoted as r, with values between -1 and +1.

    Types of Correlation

    Different types of correlation are:

    • Linear correlation: Two variables have a straight-line relationship between them. A scatter plot of the data would show a clear linear trend. The Karl Pearson correlation coefficient is used to measure linear correlations.
    • Nonlinear Correlations: The relationship between two variables is not a straight line. The data might show a curve. Spearman’s rank correlation coefficient is used to measure nonlinear correlation.

    Interpretation of correlation values is listed below:

    • Positive Correlation: In this case, two variables change together in the same direction. The value of both variables increases or decreases simultaneously. The value of r ranges between 0 and +1.
    • Negative Correlation: In this case, two variables change together but in opposite directions. An increase in one variable will cause a decrease in the other variable and vice-versa. The value of r ranges between 0 and -1.
    • Zero Correlation: In this case, the two variables move independently, i.e., a change in one variable doesn’t predict any change in the other. The value of r is approximately equal to 0.

    The most widely used methods for calculating the coefficient of correlation are Karl Pearson’s Coefficient of Correlation and Spearman’s Rank Correlation Coefficient.

    Karl Pearson’s correlation coefficient (r) is calculated as:

    Correlation formula

    where,

    Correlation formula

    Spearman Rank correlation coefficient (r) is calculated as:

    Correlation formula

    Where,

    d = Difference between two ranks

    n = Number of observations

    Uses of Correlation

    Correlation has a wide range of applications across various fields. Some of the key uses are stated below:

    1. In science, correlation analysis helps researchers examine possible connections between variables.
    2. Businesses can use correlation to make better decisions. For example, analyzing the correlation between marketing campaigns and sales figures to improve advertising strategies
    3. Psychologists also use correlation to analyze the behavioral patterns and personality traits of individuals.

    What is Regression?

    Regression Analysis is a statistical technique that helps you understand the relationship between one dependent variable (the one you want to predict) and one or more independent variables (the ones you think can affect the predicted variable).

    With the help of regression analysis, you create a mathematical model that analyzes the relationship between the variables. Once the model is developed, it can be used to predict the value of the dependent variable based on the value of an independent variable.

    Read Also: XIRR Vs CAGR: Investment Return Metrics

    Types of Regression

    Linear Regression: It creates a model that fits a straight line through the data points to estimate the relationship between a dependent variable and one or more independent variables. It best fits situations where the relationship between variables is linear. It is further divided into two types, i.e., simple linear regression and multiple linear regression.

    Polynomial Regression: It is used when the relationship between variables is nonlinear and can be represented with the help of a curve.

    Logistic Regression: It is used to solve classification problems with two possible outcomes. Logistic regression estimates event probability using independent variables.

    Each type of regression can be represented using the equations given below:

    Simple Linear Regression

    Y = a + b X,

    where,

    Y = dependant variable

    X = independent variable

    a = y-intercept

    b = slope

    Multiple Linear Regression

    Multiple Linear Regression

    Polynomial Regression

    Polynomial Regression

    Uses of Regression

    1. Businesses use regression to forecast future sales using past data and variables such as advertising budget, seasonal effects, and economic trends. This helps manage inventory and allocate resources.
    2. Medical professionals use regression analysis to identify risk factors for diseases and determine the probability of diseases.
    3. Banks and other financial institutions rely on regression analysis for several purposes, such as predicting stock prices, estimating investment risks, and creating models for loan defaults.

    Difference Between Correlation and Regression

    BasisCorrelationRegression
    FeatureCalculate the strength and direction of the relationship between two variables.Predicts the value of a dependent variable using one or more independent variables.
    RelationshipSymmetric (correlation between X and Y is the same as between Y and X).Asymmetric (relationship is directional, independent variable explains dependent variable).
    TypesLinear, NonlinearLinear, Polynomial, Logistic
    CausationCorrelation does not imply causationRegression can imply causation if the model is correctly specified.
    OutputCorrelation coefficientMathematical equation that shows the relationship between variables.

    Read Also: SIP in Stocks vs SIP in Mutual funds?

    Conclusion

    To summarize, choosing the right statistical tool depends on the research task. If you want to understand the relationship between two variables, correlation can be a good starting point, and if you want to build a prediction model, then regression is the way to go. They have different objectives and characteristics.

    In relation to stock markets, correlation can be used to find relationships between stock prices and other market variables. On the other hand, regression analysis can be performed to predict stock prices based on the set of independent variables. However, it is advised to consult a financial advisor before making any investment decision.

    Frequently Asked Questions (FAQs)

    1. What is the difference between correlation and regression?

      Correlation measures the strength and direction of a linear relationship between two variables. In comparison, regression creates a model to forecast the value of a dependent variable depending on one or more independent variables.

    2. What does the correlation coefficient tell us?

      These coefficients range from -1 to +1.1. Closer to -1 shows a strong negative correlation.2. Closer to 0 shows no linear correlation3. Closer to +1 shows a strong positive correlation

    3. What are residuals in regression analysis?

      Residuals are the differences between the observed values and the predicted values of the dependent variable. They depict how well the model fits the data.

    4. What are the limitations of correlation and regression?

      Correlation can’t be used to imply causation, which means it doesn’t explain which variable causes the other variable to change. Regression models are based on the past data and may not be able to forecast the future outcomes properly.

    5. When should I use Spearman’s Rank Correlation instead of Karl Pearson’s Coefficient?

      Spearman correlation coefficient is used when the data under consideration doesn’t have a normal distribution and uses nonlinear data, whereas Karl Pearson correlation coefficient is used for measuring linear correlation.

  • History of Mutual Funds in India

    History of Mutual Funds in India

    The Mutual Fund industry has been growing rapidly for the last 5 years. According to the Association of Mutual Funds in India (AMFI), the assets under management (AUM) have increased by 35% from 39.42 lakh crore in 2023 to 53.4 lakh crore in 2024. This trend can be attributed to the younger generation of India, which wishes to achieve its financial goals through investments in mutual funds.

    But the popularity mutual funds enjoy today wasn’t the case a few decades back. Therefore, in today’s blog, we will discuss the history of mutual funds in India, the future prospects of the mutual fund industry, and their advantages and disadvantages.

    What are Mutual Funds in India?

    Mutual funds are pooled investments of many investors that are professionally managed. A professional fund manager uses his/ her expertise to invest those funds in a particular proportion into different asset classes such as equity, debt, commodities, etc. The investment strategy must be consistent with the strategy mentioned in the prospectus.

    Mutual funds are best for those investors who lack the knowledge and time to analyze market trends. However, a particular fee is charged to manage these funds, known as the expense ratio.  

    History of Mutual Fund

    History of Mutual Funds

    The first mutual fund in India was introduced in 1963, with the formation of the Unit Trust of India due to the combined efforts of the Government of India and the Reserve Bank of India. The primary objective of introducing mutual funds in India was to encourage savings and investing habits in the general public to improve economic growth and increase the participation of investors in the economy. UTI is the oldest mutual fund in India and was the only mutual fund until 1993.

    This history of mutual funds could be broadly classified into five major phases:

    First Phase (1964-1987)

    Unit Trust of India was the first mutual fund of India incorporated by an Act of Parliament in 1963 and was under the control of the Reserve Bank of India. UTI launched the first mutual fund scheme called “Unit Scheme 1964” in 1964. In 1978, the Industrial Development Bank of India (IDBI) took over the responsibility of regulating the UTI. Near the end of the first phase, UTI had Rs. 6,700 crores of assets under management (AUM).

    Second phase (1987-1993)

    In this phase, the Government of India permitted the public sector banks, Life Insurance Corporation of India (LIC), and General Insurance Corporation of India (GIC) to launch mutual fund schemes. Some of the prominent mutual funds established in this phase were:

    • SBI Mutual Fund 
    • Canbank Mutual Fund
    • Punjab National Bank Mutual Fund

    LIC and GIC established their first mutual funds in June 1989 and December 1990, respectively. Assets under management for the mutual fund industry were Rs. 47,004 crores near the end of this phase.

    Third phase (1993-2003)

    Before 1993, all the mutual fund corporations were introduced by public sector entities. The scenario changed in 1992 when SEBI was incorporated. After its incorporation, SEBI introduced the first set of SEBI Mutual Fund Regulations that were applicable to all mutual funds except UTI. Kothari Pioneer was the first private-sector mutual fund scheme and was registered in July 1993. Initial regulations were revised and replaced with a more comprehensive set of regulations known as SEBI (Mutual Fund) Regulation in 1996, which is currently applicable. Till 2003, there were 33 MFs with around 1,22,000 crores of assets under management. 

    Fourth Phase (February  2003 – April 2014)

    In February 2003, UTI was split into two parts:

    • Specified Undertaking of the UTI Trust of India (SUUTI) 
    • UTI Mutual Fund

    This phase witnessed consolidation in the mutual fund history and numerous mergers among different private-sector funds. After the financial crisis in 2009, investors lost confidence in the mutual fund industry as most of them entered the markets at their peak. The abolition of the entry load by SEBI and the effects of the global financial crisis resulted in a period of slow growth in the AUM of the mutual fund industry in this phase.

    Fifth Phase (Since May 2014)

    In September 2012, SEBI introduced several measures to boost the penetration of mutual funds (MFs) in India, particularly in tier II and III cities, and align the interests of various stakeholders. These measures helped reverse the negative trends from the global financial crisis. The industry saw significant improvements post-2014, with steady inflows, a rise in assets under management (AUM), and investor folios.

    The AUM crossed ₹10 trillion in May 2014, doubled to ₹20 trillion by August 2017, and reached ₹30 trillion in November 2020. By June 30, 2024, the AUM grew to ₹61.16 trillion. The impressive growth can be attributed to two factors:

    • Progressive measures implemented by the SEBI
    • Support from mutual fund distributors

    Read Also: Who Regulates Mutual Funds in India?

    Future Prospects of Mutual Funds

    Future Prospects of Mutual Funds

    The future of mutual funds in India looks promising due to continued regulatory support and increasing retail participation, especially in smaller cities. The number of investor folios is expected to rise, achieving financial inclusion and investment awareness across the country. 

    Let’s also look at some pros and cons of investing in Mutual Funds.

    Advantages of Investing in Mutual Fund

    Various advantages of investing in mutual funds are:

    • Mutual funds offer diversification benefits as they invest in multiple securities. 
    • The dividend earned from investing in mutual funds can be used for reinvesting. 
    • Mutual funds offer a lump sum and SIP option. 
    • Mutual funds are managed by professional fund managers whose expertise helps the investors to earn substantial returns. 

    Disadvantages of Investing in Mutual Fund

    The disadvantages of investing in mutual funds are:

    • Many mutual funds have a high expense ratio, which reduces returns.
    • Mutual fund returns are not guaranteed. 
    • Mutual funds may also impose a lock-in period, which reduces liquidity. 
    • There is no connection between past performance and future performance of mutual fund schemes. 

    Read Also: A Comprehensive Guide on Mutual Fund Analysis: Quantitative and Qualitative Factors Explained

    Conclusion

    Mutual funds have proved to be a good investment opportunity for investors. They have consistently contributed to the nation’s growth and have also increased the number of participants in the financial markets. Mutual funds have made professional expertise accessible to the general public.

    Affordability is one of the major criteria behind the success of mutual funds as SIP provides investors with advantages such as Rupee cost averaging, power of compounding, flexibility, etc. However, it is always advised to consult a financial advisor before investing.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Types of Mutual Funds in India
    2Mutual Fund Factsheet: Definition And Importance
    3Equity Mutual Funds: Meaning, Types & Features
    4What Is An IPO Mutual Fund? Should You Invest?
    5Mutual Fund Fees & Charges in India 2024

    Frequently Asked Questions

    1. When did private-sector mutual funds begin operations in India?

      Private sector mutual funds began operations in India in 1993.

    2. How did the introduction of Systematic Investment Plans (SIPs) influence the mutual fund industry in India?

      The introduction of Systematic Investment Plans (SIPs) made it easier for individuals to invest small amounts regularly. It increases retail participation and promotes disciplined investing.

    3. What role did technological advancements play in the growth of mutual funds in India?

      Technological advancements, such as online trading platforms and mobile apps, have made it more convenient for investors to access and manage their mutual fund investments, contributing to the industry’s growth.

    4. When did foreign mutual fund companies enter the Indian market?

      Foreign mutual fund companies started entering the Indian market in 1993, following economic reforms and liberalization policies.

    5. Why are index funds popular in India?

      Index funds are popular in India as they offer investors a low-cost option to earn returns comparable to the returns of a market index.

  • What is Moving Averages?

    What is Moving Averages?

    Moving average may sound like a strange word, but it has a rather simple underlying concept. It is one of the most popular technical indicators to gauge market trends. Many seasoned investors follow the 200-day SMA and base their trading decisions on it.

    In today’s blog, we will explore moving averages, their types, uses, and limitations with a real-world example.

    What is Moving Averages?

    Moving averages is a technical indicator that predicts the direction of trends by using time series data to create a series of averages. Moving averages smooth out short-term fluctuations and indicate long-term trends or cycles. Traders often use the 50-day or 200-day moving average to analyze stocks.

    The term “moving” conveys that the moving average is calculated repeatedly using the latest data point. It appears as a line on the price chart, which continuously shifts once new price data becomes available. The moving average usually uses the closing prices of the asset and is a type of lagging indicator.

    Types of Moving Averages

    Moving averages can be calculated in a variety of ways, as listed below:

    1. Simple Moving Average (SMA):

    A Simple Moving Average is the arithmetic mean of a given set of closing prices of the asset over a specified period.

    Simple Moving Average = ( P1 + P2 + P3 +⋯+ Pn )/ n

    Where:

    • P1, P2,…, Pn are the closing prices for each time period.
    • N is the number of periods.

    Example:  For example, a 5-day SMA is calculated by adding the closing prices of a security for the last 5 days and then dividing by 5.

    If the prices for 5 days are 10, 12, 14, 16, and 18, then SMA is:

    SMA = (10 + 12 + 14 + 16 + 18) / 5  = 70 / 5 = 14

    2. Exponential Moving Average (EMA):       

    This type of moving average gives more weight to recent prices, making it more sensitive to new information. The formula involves a smoothing factor, which usually depends on the length of the moving average.

    EMA is calculated using the following formula:

    EMA = Value today * Multiplier + EMA (previous day) * (1 – Multiplier)

    where, Multiplier =  Smoothing Factor / ( 1 + number of observations ) 

    Example: For a 5-day EMA and a smoothing factor of 2,

    Multiplier = 2 / (1 + 5) = 2 / 6 = 0.333

    If the previous day’s EMA value is 13 and the current price is 18:

    EMA = (18 × 0.333) + 13 * (1 – 0.333)  = 5.994 + 8.671 = 14.665

    3. Weighted Moving Average (WMA):

    The Weighted Moving Average assigns a weight to each data point, with the most recent data points having higher weights.

    WMA = ( Price 1 * n + Price 2 * (n-1) + … + Price n ) / (n * (n+1) / 2)

    where n = number of observations

    Example:If the prices are 20, 22, and 24, where 24 is the latest data point, and we want to calculate the 3-day WMA, we can do so as follows:

    WMA= ( 24 * 3 + 22 * 2 + 20 * 1 )/ ((3 * (3 + 1) ) / 2) = 22.667

    Example in Stock Trading

    In stock trading, a seasoned trader generally uses a 50-day and 200-day moving average to implement a trading strategy. When the 50-day SMA crosses above the 200-day SMA, it generates a “golden cross,” which indicates a buy signal. Conversely, when the 50-day SMA crosses below the 200-day SMA, it generates a “death cross,” indicating a potential sell signal.

    Let’s understand this with an example. Here, we have used 10-day SMA and 20-day SMA in the weekly chart of “Rail Vikas Nigam Ltd” or “RVNL”. On 29th August 2022, the 10-day SMA (Orange line) crossed above the 20-day SMA (Green line) when the stock price was INR 36. A buy signal was generated, and today, in July 2024, the price is around INR 600. Traders can exit once the 10-day SMA crosses below the 20-day SMA. In this case, a sell signal has not been generated in the past two years.

    Example in Stock Trading

    Uses of Moving Averages

    Moving averages can be used for various purposes, as mentioned below:

    • Average Price: Moving averages can be used to calculate average prices over a period, which helps traders identify the average price of a security over a given timeframe.
    • Trend Identification: Moving averages help identify the direction of the trend. If the price is above the moving average, it suggests an uptrend; if it is below, it indicates a downtrend.
    • Support and Resistance Levels: Moving averages can act as dynamic support and resistance levels. Prices often find support at the moving average during an uptrend and resistance during a downtrend.
    • Convergence and Divergence: By comparing exponential moving averages with different time frames, traders can identify potential changes in trend strength. Convergence indicates that the trend is weakening, while divergence suggests a strengthening of the trend.
    • Crossovers: A common trading strategy is the crossover technique to buy and sell. For example, a bullish signal is generated when a short-term moving average crosses above a long-term moving average, and a bearish signal is generated when it crosses below.
    • Smoothing Data: Moving averages smooth out price data to create a single average line, which makes it easier to spot the direction of the trend.
    • Risk Management: Moving averages can be used to set stop-loss levels. For example, a trader might place a stop-loss order near a moving average to protect against significant losses.

    Limitation of Moving Averages

    Limitations of moving averages are:

    • Lagging Indicator: Moving averages are lagging indicators, meaning they are based on past prices and trends that may not reflect immediate current market conditions. This can lead to late entry or exit signals.
    • Sensitivity to sudden price change: Moving averages can be overly sensitive to price shocks, which can lead to false signals and losses.
    • Period selection: The effectiveness of moving averages depends on the selected time period. If the wrong period is selected, it could result in wrong signals and missed opportunities.
    • Ignores other information: Moving averages don’t consider other important market factors such as volume, market sentiment, economic factors, news, etc., which can lead to inaccurate analysis.
    • Less Predictive Power: As moving averages are based on historical data, they don’t have much predictive power.
    • Over Dependence: Traders who solely rely on moving averages may miss out on other important aspects of technical analysis and risk management.
    • False signal: In sideways or flat markets, moving averages can generate multiple false signals, leading to potential losses.

    Read Also: Top Indicators Used By Intraday Traders In Scalping

    Conclusion

    In summary, moving averages are a powerful tool for trend identification and smoothing out price data, making them popular among traders and analysts. However, it is a lagging indicator and sensitive to false signals in volatile or flat markets, which means it should be used in conjunction with other technical analysis tools and market indicators to improve decision-making and reduce risks. Trading can be risky, so it is advised to consult a financial advisor before making any financial decision.

    Frequently Asked Questions (FAQs)

    1. What is the Moving Average?

      It’s a statistical calculation used to analyze time series data by creating a series of averages.

    2. How do moving averages help in trading?

      It helps to identify trends and acts as support and resistance.

    3. What is a moving average crossover?

      Moving average crossover occurs when a short-term moving average line crosses a long-term moving average line from above or below.

    4. Is there any right period for the moving average?

      There is no right period to choose for a moving average; it depends on the time frame and trading strategy you are using.

    5. Can moving average be used in any market?

      Yes, it can be used in any type of market, such as equity, debt, commodity, or currency.

  • How to Cancel Mutual Fund SIP?

    How to Cancel Mutual Fund SIP?

    Mutual fund investors often face strategic decisions, such as whether one should stop SIP temporarily or permanently. While much is said about initiating SIP investment and its benefits, the halting of SIP is rarely discussed. 

    In this blog, we will discuss the process of cancellation of SIP using online and offline modes, as well as the temporary vs. permanent cancellation of SIP,  and understand the reasons behind cancelling SIP.

    How to Cancel SIPs Online?

    To cancel your mutual fund SIP (Systematic Investment Plan) online, you can follow several methods depending on how you initially set up the SIP:

    1. Through the AMC (Asset Management Company) Website 

    • Step 1: Visit the official website of the AMC managing your mutual fund.
    • Step 2: Log in using your credentials, such as your folio number and bank account details.
    • Step 3: Navigate to the section where your ongoing SIPs are listed and select the SIP you wish to cancel.
    • Step 4: Click on the “Cancel SIP” option and confirm your request. The cancellation process usually takes about 21 days to complete​.

    2. Using Online Distributor Platforms 

    • Step 1: Log into the respective platform.
    • Step 2: Locate the SIP you want to cancel under the mutual funds section.
    • Step 3: Select the “Cancel SIP” option and confirm the cancellation​.

    3. Through an Agent: If an agent facilitated your SIP, contact them to request the cancellation. The agent will process the request with the AMC on your behalf.

    How to Cancel SIPs Offline?

    The below steps show how to cancel a mutual fund SIP offline, according to many popular websites.

    How to Cancel SIPs Offline

    Step 1. Reach out to AMC or RTA:

    • Go to the nearest Asset Management Company branch office managing your mutual fund or the Registrar and Transfer Agent office.
    • Ask for a SIP cancellation form from the office.

    Step 2. Fill Out the SIP Cancellation Form:

    • Fill in the form with the requisite information, viz., folio number, mutual fund scheme name, bank account used for the said mutual fund, SIP amount, and the date you wish to end the SIP payments​. Kindly ensure that all details are correct.

    Step 3. Submit the Form:

    • Submit the form to the AMC branch or RTA office. The cancellation process takes approximately 14 to 21 days, though some fund houses fast-track it​​.

    Step 4. Verify with Your Bank:

    • It’s also important to inform the bank to stop the automatic debit instructions relating to the SIP.

    Step 5. Get Confirmation:

    • Once the cancellation request is processed, AMC or RTA will send a confirmation regarding the SIP cancellation. 

    Read Also: SIP vs Lump Sum: Which is Better?

    Temporary vs Permanent Cancellation of SIP

    Investors can make a decision regarding temporary vs permanent cancellation of SIP using the following table:

    Temporary Cancellation Permanent Cancellation
    A temporary cancellation of a SIP would offer the investor the facility to pause contributions towards a scheme. Most of the AMCs or mutual fund platforms have the facility to pause the SIPs for 1 to 6 months. No deductions will be made from the investor’s account during this period. The SIP automatically starts again at the end of the pause period without any additional instructions from the investor’s end. A temporary cancellation of an SIP would offer the investor the facility to pause contributions towards a scheme. Most of the AMCs or mutual fund platforms have the facility to pause the SIPs for 1 to 6 months. No deductions will be made from the investor’s account during this period. The SIP automatically starts again at the end of the pause period without any additional instructions from the investor’s end. 

    Pause SIP vs Stop SIP

    An investor can choose to pause vs stop SIP based on the information given in the following table:

    Pause SIPStop SIP
    The decision to pause SIP is appropriate for short-term financial disturbances. It keeps the investments consistent and saves one from the hassle of restarting the SIPs later. This is ideal if the investor expects his or her financial condition to stabilize soon.The decision to stop SIP is ideal if the fund’s underperformance continues, the investor’s goals are met, or there are significant changes in the fund’s management or strategy. It is a permanent solution, often accompanied by switching to another investment or fund.

    Reasons for Canceling SIP

    Reasons for Canceling SIP

    There could be various reasons to cancel an initiated Systematic Investment Plan:

    • Achievement of financial goals: An investor may be near his financial goals, such as buying a house or funding education. Now, the investor wants to realize the profits and move to safer investments so that accumulated wealth is not affected by market volatility.
    • Changes in mutual fund’s fundamental attributes: There could be a situation where the mutual fund changes its investment strategy, asset allocation, or management. If such changes do not align with your risk tolerance or investment goals, you should cancel your SIP and look for alternatives.
    • Consistent underperformance: If a mutual fund is underperforming its benchmark and peers for a considerably long period, say three years, then there must be something wrong with the management or investment strategy of the fund. Under such circumstances, cancellation of the SIP and funding better performers may be appropriate.
    • Mutual fund portfolio rebalancing: Investors try to build a diversified portfolio of mutual funds that invest in different asset classes. Over time, some mutual funds outperform others and exceed their target allocation. The rebalancing process could involve reducing exposure to some mutual funds to go back to the target allocation, possibly leading to the cancellation of the SIPs.
    • Financial emergency: Unforeseen financial disasters, such as the loss of a job or a medical emergency, may cause one to stop SIPs as money is required elsewhere. In such cases, liquidity for immediate needs may be prioritized over long-term investments.

    Read Also: SIP in Stocks vs SIP in Mutual funds?

    Conclusion

    Whether to pause or stop an SIP fully depends on the financial status and investment objectives of an individual. Pausing can be done in case of short-term disruption to finances, and it also has the added advantage that the investor will not have to re-activate it afresh. Permanent cancellation may have to be done in cases of prolonged underperformance or if the goal is met. Cancelling of SIP can be done conveniently online through the AMC portals/distributor platforms or offline through the offices of AMCs/RTAs. However, you must consult a financial advisor before making any investment decision.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Types of Mutual Funds in India
    2Mutual Fund Factsheet: Definition And Importance
    3Equity Mutual Funds: Meaning, Types & Features
    4What Is An IPO Mutual Fund? Should You Invest?
    5Who Regulates Mutual Funds in India?

    Frequently Asked Questions (FAQs)

    1. What happens if I miss a SIP installment?

      Missing a SIP installment may not significantly impact long-term returns. However, regular investing is recommended to benefit from rupee cost averaging.

    2. Are there any charges for cancelling a SIP?

      Most AMCs do not charge for cancelling a SIP. However, check with your specific AMC or distributor for any applicable fees or conditions.

    3. Can I restart my SIP after pausing it?

      Yes, when you pause a SIP, it automatically restarts after the pause period ends without requiring additional steps from your end.

    4. What could be the ideal tenure to continue a SIP?

      It is always advisable to invest in SIPs for the long term, for at least five years or more, to ride through market cycles for potentially higher returns.

    5. Can I switch SIP from one mutual fund to another?

      Yes, one can switch from one mutual fund scheme to another within the same AMC or even across AMCs, subject to conditions and charges.

  • How to Invest in Mutual Funds?

    How to Invest in Mutual Funds?

    Mutual Funds are witnessing a record inflow of capital in India in 2024. Many individuals want to invest in them after seeing someone else use mutual funds to realize their financial goals. However, an individual must know the procedures, paperwork, and documentation needed to invest in mutual funds.

    Don’t worry; we’ve got you covered. In this blog post, we will review the process of investing in mutual funds via offline and offline modes and factors to consider before investing.

    Why Invest in Mutual Funds?

    Mutual funds have become one of the most popular investment choices for investors for the reasons listed below:

    1. It helps investors to diversify their investments.
    2. Through mutual funds, investors can get access to professional expertise.
    3. An individual can start his investing journey with a small amount of money.
    4. Mutual funds provide the flexibility of lumpsum and SIP investments.
    5. They are highly liquid.

    How to Invest in Mutual Funds?

    How to Invest in Mutual Funds

    Investors follow the following 5 steps to invest in mutual funds:

    1. Investors must understand their risk tolerance according to the expected returns and the financial objectives.
    2. Investors should decide on asset allocation according to risk tolerance and financial objectives.
    3. Identify mutual funds that invest in those specific asset classes and gather information about their past performance, etc.
    4. Invest in selected mutual funds using online or offline mode.
    5. Keep a check on mutual fund performance to ensure fulfillment of investment goals.

    Read Also: What is the 15*15*15 Rule of Mutual Fund Investing?

    Modes of Investment in Mutual Funds

    There are two modes of investment in Mutual Funds:

    1. Online Mode
    2. Offline Mode

    Let’s dive deep into the details of both modes.

    1. Online Mutual Fund Investment

    Due to its convenience, online investing, sometimes called digital investing in mutual funds, is becoming increasingly popular. An individual must follow the steps mentioned below to start investing in mutual funds: 

    1. Visit the website of an asset management company, registered investment advisor, or mutual fund distributor and download the e-KYC form.
    2. The next step is to finish the Know Your Customer (KYC) process. Fill out the e-KYC form and submit self-attested copies of identity proof, PAN card, address proof, and a passport-sized photograph. 
    3. In-person verification (IPV) is performed via video conferencing using a webcam at a prearranged time.
    4. After completing the procedures mentioned above, you can choose a mutual fund scheme according to your risk tolerance and investing goal. 
    5. Submit the mutual fund application form. Next, you need to decide on the investment method. Lump sum payments can be made directly from your bank account using UPI apps or internet banking. If you use a SIP mode instead, you will need to set up an e-mandate, essentially a standing order instructing your bank account to take a certain amount of money each month and invest it in a specific fund.  

    2. Offline Mutual Fund Investment

    The investment process will differ from the online mode if you invest in mutual funds and have chosen to go offline. The offline process to invest in mutual funds is mentioned below: 

    1. Visit the office of an asset management company, a bank, a mutual fund agent or distributor, or a Karvy/CAMS office and ask for a KYC form.
    2. Fill out a KYC form and submit self-attested copies of identity proof, PAN card, address proof, and a passport-sized photograph.
    3. In-person verification (IPV) is done by submitting the original copies of the documents mentioned above.
    4. Following your fund selection, you must complete an application form that asks for basic information about the investor, the fund, the amount to be invested, the mode of investment (SIP or lump payment), nominee information, etc. 
    5. Submit the application form at the asset management company’s, RTA’s, or distributor’s office with the needed money by check or demand draft. 
    6. After submitting the application form, you will receive an acknowledgment slip, which will be treated as proof of your investment.

    Points to Consider Before Investing in Mutual Funds

    Points to Consider Before Investing in Mutual Funds

    Before you start your investment in a mutual fund, there are several points one should keep in mind, a few of which are mentioned below:

    • Risk Appetite: When selecting a mutual fund for investment, one should consider their risk tolerance. For a conservative investor, a debt fund would be appropriate, while for an aggressive investor, an equity-oriented fund would be appropriate. 
    • Investment Horizon: The next crucial consideration is time horizon; if you have a longer time horizon, you should consider investing in equity-oriented funds, yielding returns that will beat inflation. On the other hand, if you have a short-term investment horizon, you should consider investing in hybrid funds. 
    • Past Performance: The fund’s historical performance is the next crucial factor an investor should consider. While it is not ideal to base an investment decision on past performance, a fund with a strong track record over several market cycles may perform better. 
    • Expense Ratio: A mutual fund with a lower expense ratio is preferred by investors because less money is deducted as fees, which enhances returns.
    • Liquidity: Investors seeking liquidity in their portfolio or with short-term investment goals should consider an open-ended fund with a minimum exit load.  

    Read Also: What is an Open-Ended Mutual Fund & How to Invest in it?

    Conclusion

    In conclusion, you have the chance to invest in mutual funds and reach your financial objectives using both online and offline modes. Before selecting a mutual fund, an individual must learn everything about the scheme and ensure it aligns with his financial goals. 

    However, it is always advised to seek the help of a financial advisor to select the best mutual fund according to your investment objective and risk tolerance. 

    Plan your finances with ease using our advanced Financial calculators.

    Financial Calculators
    Lumpsum CalculatorMutual Fund Returns CalculatorETF Return Calculator
    EMI CalculatorSIP CalculatorIncome Tax Calculator
    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Types of Mutual Funds in India
    2Mutual Fund Factsheet: Definition And Importance
    3Equity Mutual Funds: Meaning, Types & Features
    4What Is An IPO Mutual Fund? Should You Invest?
    5Mutual Fund Fees & Charges in India 2024
    6Best Sip Apps in India for Investment

    Frequently Asked Questions (FAQs)

    1. Can I make a cash investment in a mutual fund?

      Indeed, an investor may invest up to INR 50,000 in cash in a financial year, according to SEBI regulations. 

    2. What is the minimum investment amount required in a mutual fund?

      One can start an SIP with a minimum amount of INR 100 and a lump sum of INR 500. However, this minimum investment limit varies from scheme to scheme.

    3. Is it safe to invest in mutual funds online?

      Yes, investing in mutual funds online or digitally is safe because SEBI regulates it and has rigorous guidelines. 

    4. Can I invest in mutual funds using both offline and online modes?

      Yes, you can invest in mutual funds using both online and offline modes.

    5. Are there any additional charges when investing online in mutual funds?

      No, there are no additional charges levied while investing through online mode.

  • Arbitrage Trading in India – How Does it Work and Strategies

    Arbitrage Trading in India – How Does it Work and Strategies

    The Indian financial sphere is always changing. Stock prices rise and fall, currency value fluctuates, and futures and options exhibit thrilling price moves. In this dynamic finance ecosystem, there lies a valuable opportunity for savvy traders known as arbitrage.

    Today’s blog covers the basics of arbitrage trading, different arbitrage strategies, key risks involved, and important points to consider before indulging in arbitrage trading.

    What is Arbitrage Trading?

    Arbitrage Trading is when you take advantage of price differences for the same asset in different markets. You can make a profit by buying an asset at a low price in one market and selling it at a higher price in another market.

    Features of Arbitrage Trading

    Features of arbitrage trading are listed below:

    1. Price Discrepancies: The core principle of arbitrage trading is a difference in the stock price in different markets, which creates an arbitrage opportunity.
    2. Simultaneous Transactions: Arbitrage trading is all about timing. If you buy an asset at a low price, you immediately need to sell it for a higher price. However, in reality, executions take some time to complete.
    3. Regulatory Compliance: Arbitrage trading must follow regulations and market rules set by financial authorities and exchanges, including position limits and margin requirements.

    Arbitrage Strategies

    Arbitrage trading can be of various types. The different types are mentioned below:

    Cash-Futures Arbitrage

    This strategy takes advantage of the price difference between a stock’s current market price (spot price) in the cash market and its futures price.

    For example, Reliance Industries stock is trading at INR 2,000 in the cash market. The nearest expiry of a Reliance futures contract is priced at INR 2,020. The futures contract is trading at a premium of INR 20. An arbitrageur will buy Reliance shares at INR 2,000 in the cash market and simultaneously sell the futures contract at INR 2,020 of equivalent quantity. Assuming the stock price stays constant at INR 2000 on the expiry day, the futures price will align with the stock price. The trader will close the futures position by buying back the futures contract and earning INR 20.

    Merger Arbitrage

    When a company plans a merger or acquisition, the target company’s stock price usually trades below the proposed acquisition price because of the uncertainty of the deal being completed. This creates an arbitrage opportunity.

    For example, XYZ company announces that it will acquire ABC company for INR 1,000 per share. ABC’s stock price might initially trade at INR 900 per share because of multiple reasons. An arbitrageur will buy shares of ABC at INR 900. He will hold the shares until the merger is finalized, and once completed, he will sell them at the acquisition price of INR 1,000, hence pocketing the difference of INR 100 per share.

    Dividend Arbitrage

    This strategy involves buying a stock before its ex-dividend date (the date after which new buyers are not entitled to the upcoming dividend) and buying deep ITM put options of an equivalent quantity. The trader receives the dividend payment and any increase in the price and then exercises the put option to sell the stock at the strike price.

    For example, Infosys declares a dividend of INR 5 per share with an ex-dividend date of 15th July. The stock price was INR 1,300 on 9th July. An arbitrageur will buy Infosys shares before 15th July and also buy puts of equivalent quantity with a strike price of 1350. The trader receives INR 5 as a dividend and any price appreciation and will sell the shares after the ex-dividend date by exercising the put option. 

    Cross-Exchange Arbitrage

    This strategy takes advantage of price differences between related assets on different exchanges.

    For example, an Indian company like Tata Motors has its shares listed on the NSE and also trades on NYSE. A temporary price difference between these two will create an arbitrage opportunity. The trader would buy the cheaper one and sell at a higher price on the other exchange.  

    Arbitrage Trading Examples

    Imagine if company ABC shares are traded on both the Bombay Stock Exchange (BSE) and the National Stock Exchange (NSE). In India, arbitrage trading involving NSE and BSE can only be carried out if the shares are already held in the demat account. 

    If the price of ABC shares on the BSE is INR 200 and on the NSE is INR 210, an arbitrage opportunity exists. A trader can sell the shares in the demat account on NSE at INR 210 and buy them back instantly on BSE at INR 200. This yields a profit of INR 10 per share.

    Key Points to Consider When Doing Arbitrage Trading

    Traders must understand the following points before doing arbitrage trading:

    1. Arbitrage opportunities do not last long. Executing both buy and sell orders at the same time is very important. Delays in processing orders or slow execution can wipe out the profits.
    2. SEBI prohibits taking advantage of price differences between Indian stock exchanges for the same stock on the same day. Rules prevent simple cross-exchange arbitrage.
    3. In theory, arbitrage is a risk-free way to make money. However, execution costs and market movements can lead to unforeseen expenses.
    4. Even though the concept is simple and successful, it involves a deep understanding of the markets and may not be a good fit for all traders.
    5. If you are new to arbitrage, it is wise to start with small trades to gain experience and manage risks effectively.

    Risks Involved in Arbitrage Trading

    Although arbitrage trading is often considered a low-risk strategy, there are some risks involved that we need to look out for in the Indian market.

    1. Indian markets are becoming more efficient, and price differences do not last long. Traders must execute their trades promptly to capitalize on opportunities before the market corrects itself.
    2. Brokers charge fees, and there are taxes to consider. These can erode your gains because arbitrage opportunities have small profit margins.
    3. It might become difficult to buy or sell the exact quantity of assets you need at the desired price, especially for stocks or contracts with low liquidity.
    4. Technical glitches and unexpected regulatory changes can also disrupt the strategies.

    Read Also: Arbitrage Mutual Funds – What are Arbitrage Funds India | Basics, Taxation & Benefits

    Conclusion

    To sum it up, arbitrage trading does not guarantee profits. It needs constant attention, sharp market observation, and flexibility to adapt to changing rules. A trader needs to understand different types of arbitrage strategies and select the one which best suits the individual. 

    Arbitrage trading can be a valuable skill for achieving success, but traders must also be aware of the risks involved and should always consult a financial advisor before trading.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1What is Commodity Market in India?
    2What is Intraday Trading?
    3What is Options Trading?
    4Breakout Trading: Definition, Pros, And Cons
    5Different Types of Trading in the Stock Market
    6What is Quantitative Trading?
    7What is Spread Trading?
    8What is Algo Trading?
    9What Is Colour Trading
    10Silver Futures Trading – Meaning, Benefits and Risks

    Frequently Asked Questions (FAQs)

    1. What is arbitrage trading?

      Arbitrage trading means buying an asset at a lower price in one market and selling it simultaneously at a higher price in another market.

    2. Is arbitrage trading legal in India?

      Yes, it is legal in India. However, rules require the shares must be already in your demat account to start arbitrage trading.

    3. Is arbitrage trading easy?

      No, it needs constant monitoring, fast execution, and a good understanding of the market dynamics.

    4. Do I need a lot of money for arbitrage trading?

      An individual with a small capital can take frequent trades to earn decent profits.

    5. What are the different types of arbitrage trading?

      Different types of arbitrage trading are cash-futures arbitrage, merger arbitrage, dividend arbitrage, cross-exchange arbitrage, etc.

  • What is Contrarian Investing?

    What is Contrarian Investing?

    Investing in financial markets is becoming an increasingly popular way to realize financial objectives. Many investors invest to achieve their retirement goals. But how can an individual achieve returns that significantly exceed the benchmark? An investor needs to think outside the box to beat the benchmark, and contrarian investing strategies are a way to create huge wealth. 

    In today’s blog, we will discuss contrarian investing, different approaches used to do contrarian investing, its implementation challenges, and real-world examples.

    What is Contrarian Investing?

    Contrarian investing is a strategy where investors intentionally go against the prevailing market trends. Investors who follow a contrarian investing strategy are known as contrarians. They follow the basic rule of buying when others are selling and selling when others are buying.

    Contrarian Investor aims to capitalize on mispriced assets by deliberately going against the latest market trends. This approach requires independent thinking, careful analysis, confidence, and a willingness to withstand sudden market fluctuations. 

    Contrarian investing is an active strategy aiming to outperform the market. Contrarian investing consists mostly of long-term investment strategies focusing on overlooked and mispriced opportunities.

    Different Approaches Used to Do Contrarian Investing

    Investors follow different processes mentioned below to do contrarian investing: 

    • Market Sentiment Analysis: Investors analyze the market sentiment through news, social media, economic data releases, etc, to gain valuable insights. By gauging the prevailing sentiment, traders can identify potential turning points in the market and make informed decisions based on sentiment shifts.
    • Value Investing Approach: Contrarian investors constantly search for undervalued assets that the market has overlooked. Investors conduct a detailed fundamental analysis of the asset and gauge its potential for long-term capital appreciation.
    • Distressed Investing: Contrarian investors actively search for companies facing distress, restructuring, or bankruptcy because most market participants do not favor such assets. By carefully analyzing the underlying value and potential recovery, investors try to acquire them at low valuations. Investors make substantial gains once the company’s profitability increases.
    • Event-Based Trading: It involves capitalizing on market reactions to specific events, such as government policy change, central bank policy announcements, budget, regulatory announcements, and company earnings releases. Contrarian traders predict market reactions to these events and position themselves accordingly to profit from market fluctuations.
    • Pattern Recognition: Using chart patterns and technical analysis to identify potential trend reversals can be a powerful tool for contrarian traders. Even the put-call ratio can be used for contrarian investing. These patterns tell about potential shifts in market sentiments, providing opportunities for contrarian trades.

    Read Also: What Is Contract Note and Its Significance

    Challenges of Contrarian Investing

    Challenges Of Contrarian Investing

    Limitations of contrarian investing are as follows:

    • Time-consuming: It needs lots of research to go against the prevailing trend, so it’s a time-consuming practice.
    • Difficult to Time: It’s extremely challenging to accurately time the trades as identifying the exact reversal points is difficult.
    • Patience and long-term focus: Patience is required as the focus is to realize gains from mispriced assets that others haven’t identified at the right time. Investors need to create positions before others identify the opportunity and wait until the majority of the market participants identify it. Once the majority identifies it, the asset’s market price moves in a favorable direction. Therefore, a longer time frame is required to realize substantial gains.
    • Potential for an extended period of underperformance: If market sentiment continuously goes against your view, it can result in portfolio underperformance in the short term.
    • Knowledge of the market and methods is required: One should be well versed in different analysis methods, such as fundamental analysis, technical analysis, etc., to identify mispriced assets ahead of time with confidence. 
    • Limited Liquidity: Contrarian investors also invest in assets that are not widely traded, making it difficult to create and exit the investment position.
    • Lack of information or limited information: Sometimes, contrarian investors may have limited information or wrong information about the asset, which can lead to incorrect analysis and wrong investment decisions.

    Examples of Contrarian Investing

    John Paulson and the Subprime Mortgage Crisis (2007-2008):

    • Case:  When most investors believed the housing market prices would continue to rise, Paulson predicted against popular belief and took a contrarian position. 
    • Strategy: Paulson used credit default swaps (CDS) to bet that mortgage-backed securities would collapse. CDS is a tool through which credit risk is transferred, similar to insurance, where the buyer pays premiums for protection against risk. Hence, the buyer of the CDS gets a set amount if the underlying assets default, go bankrupt, or face credit ratings downgrade.
    • Outcome: When the housing market crashed, Paulson made a fortune of USD 4 billion alone while his firm earned a total of USD 15 billion, which earned him the tag of “a man who made one of the biggest fortunes in Wall Street history.”

    Warren Buffett and Goldman Sachs (2008):

    • Case: At the peak of the Global Financial crisis in 2008, when all the banks in the US were facing a liquidity crisis, Buffett supported Goldman Sachs soon after the fall of the Lehman Brothers.
    • Strategy: Warren Buffett’s Berkshire Hathaway invested USD 5 billion of preferred stock in Goldman Sachs to strengthen the firm’s capitalization and liquidity in turbulent times.
    • Outcome: The preferred stock was redeemed in 2011, which generated a profit of USD 3.7 billion for Berkshire Hathaway, which is approximately 74% of the investment.

    Warren Buffett and Bank of America (2011):

    • Case: During the debt-ceiling crisis of 2011, Bank of America’s stocks lost more than half of its value and fell from $14 to $5 over a year.
    • Strategy: Buffett invested $5 billion in Bank of America through preferred shares and warrants to buy 700 million common stock at a price of $7.14 per share. The preferred shares were redeemable at a 5% premium and paid a 5% annual dividend.
    • Outcome: Bank of America’s stock prices increased over the next few years, and Berkshire Hathaway more than tripled its investment without considering the dividend income.

    George Soros and the British Pound (1992):

    • Case: The British government was trying to keep the pound within the European Exchange Rate Mechanism (ERM) despite economic indicators suggesting it was overvalued.
    • Strategy: Soros created a short position against the pound, betting on its devaluation.
    • Outcome: On 16 September 1992, also known as the Black Wednesday, the pound crashed, and Soros made an estimated USD 1 billion profit, while the British government had to withdraw the pound from the ERM.

    Historical Returns of Contrarian Investing

    Historical Returns of Contrarian Investing

    The return an investor can earn using the contrarian investing approach is enormous, but these abnormal returns require lots of time, effort, knowledge, and patience. However, it’s not a suitable strategy for the short term as a big risk of uncertainty is involved. 

    Historical returns of contrarian investing are beyond imagination. Warren Buffet, Michael Burry, George Soros, John Paulson, etc., earned a fortune through contrarian investing strategy, but they all took calculated risks based on their knowledge and analysis.

    Conclusion

    In summary, while contrarian investing can be lucrative, at the same time, it’s time-consuming, and it requires a deep understanding of market fundamentals, the right timing, confidence, patience, and the ability to withstand potential losses. Investors should carefully consider these factors and should combine contrarian strategies with other investment approaches and tools to achieve balanced and long-term returns.

    The contrarian investing approach requires an in-depth understanding of the financial markets. Therefore, it is important to consult a financial advisor before investing.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1What is Securitization? Methodology, Types, Advantages, and Disadvantages
    2Explainer on Imitation Investing: Psychology, Advantages, Limitations, and Strategies
    3Explainer on Cigar Butt Investing: Features, Advantages, Limitations, and Suitability Explained
    4Explainer on ESG Investing: Overview, Pros, Cons, Background, and Mutual Funds
    5Explainer On REITs: Should You Invest?

    Frequently Asked Questions (FAQs)

    1. What is a contrarian strategy?

      A contrarian strategy is implemented by creating an opposite position relative to the prevailing market sentiment, i.e., when everyone is buying, the contrarian investor looks to create a short position and vice versa.

    2. Is contrarian investing profitable?

      It can be rewarding, but at the same time, it’s risky as well, as it may go wrong or take time to show desired results.

    3. Who is the famous contrarian investor?

      Warren Buffet is one of the most prominent contrarian investors.

    4. What is one of the limitations of Contrarian investing?

      It may take a significant amount of time before an undervalued asset begins to show desired results.

    5. Can AI be used to execute contrarian strategies?

      Yes, artificial intelligence can be used to identify patterns of herd behavior, and models can be trained on predefined market variables to uncover opportunities to execute contrarian strategies.

  • What is Zero Days to Expiration (0DTE) Options and How Do They Work?

    What is Zero Days to Expiration (0DTE) Options and How Do They Work?

    Do you also want to add some excitement to your investing journey? Then, 0DTE trading might be a perfect fit for you. But we need to be cautious as it is similar to a double-edged sword since it can be thrilling and profitable but involves considerable risks.

    Today’s blog will help you understand the core concept of 0DTE trading. We will also learn about some common strategies used and the risks involved.

    What is 0DTE Trading?

    0DTE stands for zero days to expiration. It focuses on buying or selling options contracts that expire on the same day they’re traded.

    These options are generally cheaper than options with longer expiration dates because less time is left for the asset to give the expected move. This strategy is popular among option sellers for collecting premiums and option buyers for making huge returns. 

    How Do 0DTE Trades Work?

    Like any other options trade, a trader will buy or sell option contracts. Buying a call option gives the buyer the right, but not an obligation, to buy the underlying asset at a given price by expiry. On the other hand, buying a put option gives the buyer the right to sell the underlying asset at a given strike price by the expiry date. Sellers of an option contract receive a premium from buyers.

    How Do 0DTE Trades Work

    Read Also: BSE Sensex vs BSE All Cap? A Comparative Study

    Since the options expire the same day, the main focus is on whether the price of the underlying asset will go up or down within that short time. If the prediction is correct and the price moves in the trader’s direction by expiry, the option contract will increase in value. 

    In the case of an option buyer, time is not the trader’s friend. With 0DTE trade, the time decay speeds up. Therefore, to make a profit, the prediction must be correct, and the price movement should happen quickly. However, the loss is fixed, and the potential profit is unlimited.

    In the case of an option seller, time is a trader’s friend because as time passes, time decay reduces the option premiums, and the option seller makes a profit. However, in this case, the profit is fixed, and the potential loss is unlimited.

    Example of a 0DTE Trade 

    Let the current price of Reliance be INR 1950 and the trader bought a call option with a strike price of INR 2,000, expiring later on the same day. The trader has a view that Reliance’s stock price will increase to 2050 by the end of the day.

    This option gives you a right but not an obligation to buy 100 shares of Reliance at INR 2,000 per share. There can be two scenarios at the end of the expiry day:

    Case 1: If the prediction is correct and by the end of the day, the price of Reliance goes up to INR 2,050, you will make a profit because you have the right to exercise your option and buy 100 shares of Reliance at INR 2,000. Since the market price is now INR 2,050, you can immediately sell those 100 shares at a higher price of INR 2,050.

    Case 2: If your prediction goes wrong and the stock price goes down to 1,900. In this scenario, exercising the option to buy Reliance at INR 2000 would not make sense, and since this is a 0DTE option, it will expire worthless at the end of the day, and you will lose the entire premium paid for the contract.

    Importance of Theta

    Theta is the most important factor that affects the price of the option contract on the expiry day due to the following reasons:

    • In 0DTE trading, theta is important because an option contract loses its value as time passes.
    • Theta decay in 0DTE options is faster as compared to the options with longer-expirations date. For options expiring soon, theta is very high and causes the option’s price to drop quickly.
    • Understanding theta can help a trader choose the right options for trades in 0DTE trading. ITM options have generally lower theta than OTM options which means that ITM options have a slightly higher chance of countering decay if the price moves in the trader’s favor.
    • To make 0DTE trade profitable, the price of the underlying asset must increase enough to compensate for the loss caused by the theta decay. The price movement needs to be big and quick within a limited timeframe.

    Read Also: What is T+0 Settlement : Overview And Benefits

    0DTE Options Trading Strategies

    In 0DTE trading, multiple strategies can be employed. Some of them are mentioned below.

    Credit Spreads

    This strategy involves selling a combination of option contracts to collect premiums upfront. To maximize the profit, structure the spread so that you receive the premium as your maximum profit. The maximum loss will be restricted to the difference between the strike price minus the premium collected.

    Examples of credit spreads include Bull Put spread, Bear Call spread, etc.

    Delta Neutral Strategies

    These strategies aim to be neutral by combining options with different deltas. The goal is to profit from the theta decay and the decline in volatility, irrespective of whether the stock price goes up or down.

    Different types of delta-neutral strategies include short straddle, short strangle, etc.

    Directional Strategies

    This strategy involves buying calls or puts depending on the prediction of the movement of the stock price by the expiry time. It provides high returns if the predictions turn out to be accurate, but can be risky as option premium decreases with the passage of time.

    Examples of directional strategies involve long straddle, long strangle, etc.

    Risks in 0DTE Trading

    Risks in 0DTE Trading

    0DTE trading can be extremely risky due to the factors mentioned below:

    Time Decay

    When the contract is near its expiry date, the value of options keeps decreasing as time passes. Time decay can reduce the gains, even if the stock that is being traded moves in favor of the trader.

    Volatility

    Options with a short time left to expiry are greatly affected by changes in volatility. Sudden market changes can cause profitable trades to turn into losing ones.

    Psychological Stress

    Due to its fast-paced nature, 0DTE trading needs quick decisions and trade execution. The pressure can lead to emotional decision-making and impulsive trades.

    Read Also: Lowest MTF Interest Rate Brokers in India | Top 10 MTF Trading Apps

    Conclusion

    To summarize, 0DTE trading can be exciting for option traders, but it is crucial to understand the risks involved. If you are an experienced options trader, you should explore 0DTE trading. The trader should have clearly defined rules of entry and exit along with proper risk management. 

    Options trading is complex and requires a solid understanding of the underlying concepts. Hence, one must consult a financial advisor before taking any trades.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Introduction to Gift Nifty: A Cross-border Initiative
    2What is the NIFTY EV & New Age Automotive Index?
    3NIFTY Next 50 – Meaning, Types & Features
    4What is Nifty BeES ETF? Features, Benefits & How to Invest?
    5Value Investing Vs Intraday Trading: Which Is More Profitable?

    Frequently Asked Questions (FAQs)

    1. What is 0DTE trading?

      Buying or selling options contracts that expire at the end of the same trading day is known as 0DTE trading.

    2. Who should try 0DTE Trading?

      Only experienced options traders who can take high risks and make quick decisions should do 0DTE trading.

    3. How do I get started with 0DTE trading?

      A beginner should start with options basics and practice with paper trading before using actual money.

    4. What are the tax implications of 0DTE trades?

      0DTE trades are considered short-term and are taxed as speculative income.

    5. How does theta decay affect 0DTE options?

      Theta decay is highest in the 0DTE options, which results in a loss of premium as time passes.

    • Open Free Demat Account

    Join Pocketful Now

    You have successfully subscribed to the newsletter

    There was an error while trying to send your request. Please try again.

    Pocketful blog will use the information you provide on this form to be in touch with you and to provide updates and marketing.