Correlation Between SPBVL Peru and NIFTY SUMER

Can any of the company-specific risk be diversified away by investing in both SPBVL Peru and NIFTY SUMER 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 SPBVL Peru and NIFTY SUMER into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between SPBVL Peru General and NIFTY SUMER DURABLES, you can compare the effects of market volatilities on SPBVL Peru and NIFTY SUMER 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 SPBVL Peru with a short position of NIFTY SUMER. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPBVL Peru and NIFTY SUMER.

Diversification Opportunities for SPBVL Peru and NIFTY SUMER

0.05

Correlation Coefficient

SPBVL Peru  NIFTY SUMER

Significant diversification

The 3 months correlation between SPBVL and NIFTY is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding SPBVL Peru General and NIFTY SUMER DURABLES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NIFTY SUMER DURABLES and SPBVL Peru 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 SPBVL Peru General are associated (or correlated) with NIFTY SUMER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NIFTY SUMER DURABLES has no effect on the direction of SPBVL Peru i.e., SPBVL Peru and NIFTY SUMER go up and down completely randomly.

Pair Corralation between SPBVL Peru and NIFTY SUMER

Assuming the 90 days trading horizon SPBVL Peru General is expected to generate 0.51 times more return on investment than NIFTY SUMER. However, SPBVL Peru General is 1.96 times less risky than NIFTY SUMER. It trades about 0.05 of its potential returns per unit of risk. NIFTY SUMER DURABLES is currently generating about -0.2 per unit of risk. If you would invest  2,944,504  in SPBVL Peru General on January 5, 2025 and sell it today you would earn a total of  76,979  from holding SPBVL Peru General or generate 2.61% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	95.38%
Values	Daily Returns

SPBVL Peru General  vs.  NIFTY SUMER DURABLES

Pair Trading with SPBVL Peru and NIFTY SUMER

The main advantage of trading using opposite SPBVL Peru and NIFTY SUMER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPBVL Peru position performs unexpectedly, NIFTY SUMER 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 NIFTY SUMER will offset losses from the drop in NIFTY SUMER's long position.

The idea behind SPBVL Peru General and NIFTY SUMER DURABLES 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.

Check out your portfolio center.

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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.