Correlation Between Infosys and Jindal Steel

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

By analyzing existing cross correlation between Infosys Limited and Jindal Steel Power, you can compare the effects of market volatilities on Infosys and Jindal Steel 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 Infosys with a short position of Jindal Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infosys and Jindal Steel.

Diversification Opportunities for Infosys and Jindal Steel

0.4

Correlation Coefficient

Infosys  Jindal Steel

Very weak diversification

The 3 months correlation between Infosys and Jindal is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Infosys Limited and Jindal Steel Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jindal Steel Power and Infosys 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 Infosys Limited are associated (or correlated) with Jindal Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jindal Steel Power has no effect on the direction of Infosys i.e., Infosys and Jindal Steel go up and down completely randomly.

Pair Corralation between Infosys and Jindal Steel

Assuming the 90 days trading horizon Infosys Limited is expected to generate 0.84 times more return on investment than Jindal Steel. However, Infosys Limited is 1.19 times less risky than Jindal Steel. It trades about 0.0 of its potential returns per unit of risk. Jindal Steel Power is currently generating about -0.02 per unit of risk. If you would invest  190,081  in Infosys Limited on September 4, 2024 and sell it today you would lose (2,101) from holding Infosys Limited or give up 1.11% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.41%
Values	Daily Returns

Infosys Limited  vs.  Jindal Steel Power

Infosys Limited

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Infosys Limited has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Infosys is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Jindal Steel Power

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Jindal Steel Power has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Jindal Steel is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Infosys and Jindal Steel

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

The idea behind Infosys Limited and Jindal Steel Power 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.