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    Best large & mid cap mutual funds to invest in 2020

    Synopsis

    Sebi defines large & mid cap funds as open-ended equity schemes investing minimum 35% of total assets in equity and equity-related instruments of large cap companies, and a minimum of 35% of total assets in mid cap stocks.

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    Here is an update on our recommended large & mid cap mutual fund schemes for December. There are no changes in the list this month. That mans, if you have been following our recommendations, you can continue with your investments in these schemes to achieve your long-term financial goals.

    Similarly, if you are a new investor looking to invest in large & mid cap schemes, you can choose the schemes from the list. However, please read the rest of the article and understand the risks and benefits involved in investing in large & mid cap schemes before proceeding.

    Sebi defines large & mid cap funds as open-ended equity schemes investing minimum 35% of total assets in equity and equity-related instruments of large cap companies, and a minimum of 35% of total assets in mid cap stocks.

    Though these schemes may be less risky than pure mid cap schemes and small cap schemes, the 35% minimum exposure to mid cap stocks make them risky. That is why these schemes are recommended to only investors with a large risk appetite.

    Mutual fund advisors believe that over a period there might be two kinds of large & mid cap mutual fund schemes: those which are inclined towards large cap stocks and those inclined towards mid cap stocks. Advisors ask investors to look at the portfolio and strategy of the schemes before investing. Investors should pick schemes according to their risk appetite.

    For example, if you want more margin of safety, opt for schemes that are tilted towards large cap stocks. Aggressive investors may bet on schemes that are inclined towards mid cap stocks.

    If you have a long-term horizon and willing to take a little extra risk, you may choose from our list of recommended large & mid cap schemes:

    Best large & mid cap mutual funds to invest in 2020

    • Mirae Asset Emerging Bluechip Fund
    • Sundaram Large and Midcap Fund
    • Invesco India Growth Opportunities Fund
    • Canara Robeco Emerging Equities Fund
    • Principal Emerging Bluechip Fund
    • LIC MF Large and Midcap Fund

    Our methodology:
    ETMutualFunds.com has employed the following parameters for shortlisting the Equity mutual fund schemes.

    1. Mean rolling returns: Rolled daily for the last three years.

    2. Consistency in the last three years: Hurst Exponent, H is used for computing the consistency of a fund. The H exponent is a measure of randomness of NAV series of a fund. Funds with high H tend to exhibit low volatility compared to funds with low H.

    i) When H = 0.5, the series of return is said to be a geometric Brownian time series. These type of time series is difficult to forecast.
    ii) When H <0.5, the series is said to be mean reverting.
    iii) When H>0.5, the series is said to be persistent. The larger the value of H, the stronger is the trend of the series

    3. Downside risk: We have considered only the negative returns given by the mutual fund scheme for this measure.
    X =Returns below zero
    Y = Sum of all squares of X
    Z = Y/number of days taken for computing the ratio
    Downside risk = Square root of Z

    4. Outperformance: It is measured by Jensen's Alpha for the last three years. Jensen's Alpha shows the risk-adjusted return generated by a mutual fund scheme relative to the expected market return predicted by the Capital Asset Pricing Model (CAPM). Higher Alpha indicates that the portfolio performance has outstripped the returns predicted by the market.

    Average returns generated by the MF Scheme =
    [Risk Free Rate + Beta of the MF Scheme * {(Average return of the index - Risk Free Rate}

    5. Asset size: For Equity funds, the threshold asset size is Rs 50 crore

    (Disclaimer: past performance is no guarantee for future performance.)

    ( Originally published on Jan 03, 2020 )
    The Economic Times

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