PERFORMANCE OF MOMENTUM STRATEGY
WHEN BENCHMARK INDEX FALLEN BY MORE THAN 15% IN 12 MONTHS
By VAISSHNAVI GUNDREDDY(1st year MBA, VIT
BUSINESS SCHOOL)
NITHIN BHARGAV(1st year MBA,VIT
BUSINESS SCHOOL)
“Our focus of the study in this research is the performance
of momentum strategy when the index for NIFTY 50 has fallen by 15% or more” -
this is in continuation with the Paper1
(performance of momentum strategy for Nifty 100 stocks for period 2011 to 2019).
Whenever the index has fallen by more than 15% in 12
months(1year) at any point of time in history(since 2010), we will follow with
the below hypothesis:
Hypothesis 1- Testing the performance of stocks
with high positive momentum by going long for next 6 months
Hypothesis 2- Testing the performance of stocks
with high momentum on the downward or negative side by going short for next 6
months
Methodology:
In Hypothesis 1: Test
on long portfolio was done. Long portfolio is the group with the higher positive
momentum, it is formed based on the slope and reliability. So, in the long
portfolio, we have taken the top quartile(4-2) for investing. And, we noted the
results.
In Hypothesis 2: Test on the short portfolio was done. Short
portfolio is a group with negative momentum, this is again formed based on
slope and reliability. So, in the short portfolio, we haven the lower part(1-2)
for investing. And, we noted the results eventually.
Observations:
For Hypothesis 1: The long portfolio gave positive returns in all
observations. Every time a long portfolio was able to beat the performance of
the Benchmark index (NIFTY50). The representation of the returns of the test-
We have taken nearly 17 observations for Hypothesis 1. All
the, 17 observations of cumulative returns are positive i.e., trading results
are greater than the benchmark results. So, here the success ratio for
cumulative returns is 100%(17/17). And, in the case of comparison with sharpe
ratio out of 17 we got the positive results for 16 (16/17). So, the success
ratio here for sharpe ratio is 94.11%.
For Hypothesis 2: The short portfolio gave negative
returns in all observations. In none of the observations, short portfolio was
able to beat the benchmark. The representation of the returns of this test-
We have taken, 17 observations here as well. All, the 17 observations of cumulative returns and sharpe ratio are showing negative result i.e., trading results are lesser than the benchmark results. So,the success ratio is 0%(0/17).
Conclusion-
Based on the analysis, we can conclude that it is better for
an investor to invest in a Long portfolio( Hypothesis 1) whenever the benchmark
index has fallen by more than 15% in a year. As, market is a cycle we will
eventually see a rise after the fall and that happened in this case, and so the
long portfolio worked.
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