Investment in Mutual Fund is always subject to market risk and no one can predict the future. However, by study past performance ratios of the mutual fund will provide you understanding that how much you risk you will carry and help to compare with other similar fund. Lets understand few of such ratio which help investor to analyze their risk in the mutual fund.
01.
Standard Deviation can
be defined as a statistical
measurement of the volatility of a mutual fund scheme. It demonstrates the degree of variation from the
simple average or arithmetic mean. A higher standard deviation indicates
greater volatility.
Example
if Fund A SD is 20% and Fund B is 25% then Fund B is more volatile.
02.
Sharpe Ratio formula is SR = (Fund return - Risk free return)/ Standard Deviation. By looking to the Sharpe ratio we can judge
how much additional return generated in addition to the risk free return. Hence
higher the sharpe ratio, better the fund from risk and return. Lets understand how this ratio help to compare
with its peer fund.
|
Fund A |
Fund B |
Return |
22% |
20% |
Risk free rate |
6% |
6% |
Standard deviation |
18% |
15% |
Sharpe Ratio |
0.89% |
0.93% |
Here
Fund A generate more return by taking more risk and hence Sharpe ratio of B is
better than A.
03.
Sortino Ratio is computed by dividing the
difference between the aggregated earnings of an investment portfolio and the
risk-free rate of return with the standard deviation of negative earnings.
Sortino ratio formula is given by – Sortino ratio = R – Rf /SD |
R equals the expected returns Rf refers to the risk-free return rate SD equals the negative asset return’s standard
deviation |
The Sortino
ratio uses only the downside volatility to evaluate a portfolio’s
performance. On the other hand, the Sharpe ratio uses both the upside and
downside volatility. Example of Sortino Ratio Calculation
Let’s
take a look at this Sortino ratio example to understand how it is
computed –Suppose, there are two investment portfolio schemes, namely – Scheme
T and Scheme F with annualised returns.
Particulars |
Scheme A |
Scheme B |
Annualised returns |
10% |
15% |
Downward deviation |
4% |
12% |
Rate of fixed deposit risk-free |
6% |
6% |
From
the above information,
Scheme A’s Sortino ratio = (R) – Rf /SD = (10-6)/4 = 1 |
Scheme B’s Sortino ratio = (R) – Rf /SD = (15-6)/12 = 0.75 |
Typically, a higher Sortino ratio in mutual
funds is considered to be better. So from the given outcome, Scheme A’s
Sortino ratio indicates that it is generating more return per unit of the given
risk and in turn has a greater chance of avoiding large losses.
04.
Treynor Ratio gauges how efficiently the fund manager achieves the balance
between return and risk of the portfolio. The formula of ratio is
TR = (Fund return - risk
free return)/Beta of the fund.
Beta is a comparison with benchmark. Beta 1 means fund performance
is equal to benchmark, more than 1 means fund is more volatile & riskier,
and less than 1 means fund is less volatile.
Let us understand TR with an example.
|
Fund A |
Fund B |
Return |
18% |
18% |
Risk free rate |
6% |
6% |
Beta |
1.1 |
0.9 |
Treynor Ratio |
0.11% |
0.13% |
It
means that Fund A is more volatile than fund B.
05.
Jensen Alpha is Portfolio
return - [Risk Free Rate + Portfolio Beta * (Market Return - Risk Free Rate)]. This determines
the abnormal return of a security or portfolio of securities over the
theoretical expected return or in simple words compares the performance with
benchmark return. Let us understand by
an example.
|
Large Cap A |
Large Cap B |
BSE 100 Index |
Return |
14% |
11% |
12% |
Alpha |
2% |
-1% |
NA |
Positive Alpha shows
outperformer and -ve shows under performance.
Now
lets compute Jensen Alpha for Large Cap A whose Beta is 1.1 and risk free
return is 6%
=14-
(6+1.1*(12-6)) = 1.4
The
higher the Alpha value, the more rewarding the fund is.
06.
Information ratio shows the consistency of
the fund manager in generating superior risk adjusted performance. A higher information ratio shows that fund manager has
outshined other fund managers and has delivered consistent returns over a
specified period. Formula for IR
is
(Portfolio
return – Benchmark return)/ Tracking Error.
Tracking
error is the deviation between fund return & index return. Let us understand with an example.
|
Large Cap A |
Large Cap B |
Fund Return |
14% |
14% |
BSE 100 Index |
12% |
12% |
Tracking Error |
1.08 |
1.05 |
|
=(14-12)/1.08 |
=(14-12)/1.05 |
Information ratio |
1.85 |
1.90 |
Here
Fund B is better than Fund A.
07.
Capture Ratio is the ratio of
Up Market Capture Ratio and Down Market Capture Ratio. High Capture Ratio (more than 1) is good because
it implies good risk adjusted returns. Negative Capture Ratio is also good,
provided the negative is on account of Down Market Capture Ratio. The
formula is
(i)
Upside Capture Ratio = (Return in UP Rally / Benchmark Return)*100
(ii)
Downside Capture Ratio = (Return in down correction / Benchmark Return)*100
Let
us understand with example.
|
Large Cap A |
Large Cap B |
Upside Capture |
|
|
Fund Return |
9.5% |
13% |
BSE 100 Index |
10% |
10% |
Upside Capture Ratio |
95 |
130 |
Downside Capture |
|
|
Fund Return |
-9% |
-12% |
BSE 100 Index |
-10% |
-10% |
Downside Capture Ratio |
90 |
120 |
The
above table shows that Fund B gains 30 during upside and fund A loss only 10
during downtime.
Conclusion: The captioned ratio will help investor to
judge the risk & reward of the fund and help them to take calculated decisions.
The captioned ratios are readily available at a number of investment website.
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