Mutual Funds mey kitna Risk hai?
By: Vishal Kumar
Tags: Mutual Funds Risks, Risk Management, Risk Assessment, Mutual Fund Investment

How much Risks is there in Mutual Funds ?

From an investor’s perspective risk is defined as the unfortunate possibility of losing some or all of the original investment one makes. The good news is that risk is measurable and it would be one’s interest to use risk statistics when analyzing and selecting mutual funds.

Know about Mutual Funds

Risk Involved in Mutual Funds are given below:

BETA

Beta is a commonly used risk measure. and calculates the relative volatility of a stock or mutual fund’s returns as against its benchmark. the beta merely explains the relative riskiness of an asset and does not give us the inherent risk of the asset itself.

As an investor, you can use this information on the beta to align your mutual fund portfolio according to your risk appetite. For instance, if you are a conservative investor, you might want to focus on low beta portfolios. But remember what we said earlier beta is a relative measure and does not give us the inherent risk of an asset.

2. ALPHA

Alpha quite simply measures how much better a fund has performed as compared to its benchmark index. For instance, if the Nifty 50 delivered 10% this past year and your fund did 11% .. then the alpha is +1%. And if your fund underperformed and achieved only 8% .. then the alpha is -2%. Which means actively managed funds can have positive or negative alpha depending on how well the fund manager runs the fund. Infact, creating positive alpha is the entire essence behind someone investing in an actively managed fund

3. R-SQUARED

The R-Squared aims to measure a fund’s correlation to its benchmark performance. This is done on a scale of 100 which means if the R-Squared is a 100 then it shows that the performance of the mutual fund is perfectly correlated with the performance of the benchmark In this particularly the case when it comes to index funds which have an R-Squared of 99 or 100. On the other end, we typically see actively managed mutual funds which can have a range of R-squared values.

4. STANDARD DEVIATION

The standard deviation measures the dispersion of data from its mean and from a mutual fund perspective, it represents the volatility or riskiness of the fund. For instance, let’s say a mutual fund delivers 10% average returns over a period of time. But as expected, this fund has had some good months and also some bad months with returns vacillating between +20% and -15% This up and down trajectory of returns in the mutual fund NAV is what standard deviation captures and presents as an annualized number

5. SHARPE RATIO

The Sharpe ratio measures risk adjusted performance. and is calculated by subtracting the risk-free rate of return from the fund’s returns. and then dividing the result by the standard deviation. In other words, the Sharpe ratio indicates whether a mutual fund’s returns are due to the wise investment decisions taken by the fund manager … or was it the result of taking excessive risk Like many statistical tools the Sharpe ratio too can lead to some misleading inferences if used in isolation. For example: it’s commonly possible that a fund with low returns and low standard deviation might show a high Sharpe ratio

6. SORTINO RATIO

The Sharpe ratio uses the total volatility in its calculations in the form of standard deviation. This is where the Sortino ratio is different as it only uses only the fund’s downside standard deviation in its calculations So as a formula, the Sortino ratio is much like the Sharpe Ratio. subtracts the risk-free returns from the fund returns but instead of dividing it by the total standard deviation .. it divides the difference with the downside deviation This ratio is particularly useful for risk-averse or conservative investors and in the real sense, determines the success of a fund in capping its downside volatility. The Sortino ratio is a useful way for all kinds of investors, analysts and portfolio managers to evaluate a fund’s return for a given level of bad risk.

Thumb rule way of remembering:

A high Alpha, a high Sharpe ratio and a high Sortino indicate better potential performance for a fund A Low Beta and a low standard deviation indicates lower volatility for the fund A higher R-Squared indicates a better correlation with the benchmark.

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