Correlation Between NIFTY SUMER and Bajaj Finance

Can any of the company-specific risk be diversified away by investing in both NIFTY SUMER and Bajaj Finance at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining NIFTY SUMER and Bajaj Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NIFTY SUMER DURABLES and Bajaj Finance Limited, you can compare the effects of market volatilities on NIFTY SUMER and Bajaj Finance and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in NIFTY SUMER with a short position of Bajaj Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of NIFTY SUMER and Bajaj Finance.

Diversification Opportunities for NIFTY SUMER and Bajaj Finance

0.81

Correlation Coefficient

NIFTY SUMER  Bajaj Finance

Very poor diversification

The 3 months correlation between NIFTY and Bajaj is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding NIFTY SUMER DURABLES and Bajaj Finance Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bajaj Finance Limited and NIFTY SUMER is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on NIFTY SUMER DURABLES are associated (or correlated) with Bajaj Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bajaj Finance Limited has no effect on the direction of NIFTY SUMER i.e., NIFTY SUMER and Bajaj Finance go up and down completely randomly.

Pair Corralation between NIFTY SUMER and Bajaj Finance

Assuming the 90 days trading horizon NIFTY SUMER DURABLES is expected to generate 0.69 times more return on investment than Bajaj Finance. However, NIFTY SUMER DURABLES is 1.45 times less risky than Bajaj Finance. It trades about 0.1 of its potential returns per unit of risk. Bajaj Finance Limited is currently generating about -0.02 per unit of risk. If you would invest  3,797,895  in NIFTY SUMER DURABLES on September 12, 2024 and sell it today you would earn a total of  452,295  from holding NIFTY SUMER DURABLES or generate 11.91% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	99.19%
Values	Daily Returns

NIFTY SUMER DURABLES  vs.  Bajaj Finance Limited

Pair Trading with NIFTY SUMER and Bajaj Finance

The main advantage of trading using opposite NIFTY SUMER and Bajaj Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NIFTY SUMER position performs unexpectedly, Bajaj Finance can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bajaj Finance will offset losses from the drop in Bajaj Finance's long position.

The idea behind NIFTY SUMER DURABLES and Bajaj Finance Limited pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.