Correlation Between Infosys and Jindal Poly
Specify exactly 2 symbols:
By analyzing existing cross correlation between Infosys Limited and Jindal Poly Investment, you can compare the effects of market volatilities on Infosys and Jindal Poly 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 Poly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infosys and Jindal Poly.
Diversification Opportunities for Infosys and Jindal Poly
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Infosys and Jindal is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Infosys Limited and Jindal Poly Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jindal Poly Investment 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 Poly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jindal Poly Investment has no effect on the direction of Infosys i.e., Infosys and Jindal Poly go up and down completely randomly.
Pair Corralation between Infosys and Jindal Poly
Assuming the 90 days trading horizon Infosys Limited is expected to generate 0.63 times more return on investment than Jindal Poly. However, Infosys Limited is 1.59 times less risky than Jindal Poly. It trades about -0.18 of its potential returns per unit of risk. Jindal Poly Investment is currently generating about -0.16 per unit of risk. If you would invest 191,700 in Infosys Limited on December 27, 2024 and sell it today you would lose (31,755) from holding Infosys Limited or give up 16.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Infosys Limited vs. Jindal Poly Investment
Performance |
Timeline |
Infosys Limited |
Jindal Poly Investment |
Infosys and Jindal Poly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Infosys and Jindal Poly
The main advantage of trading using opposite Infosys and Jindal Poly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infosys position performs unexpectedly, Jindal Poly 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 Poly will offset losses from the drop in Jindal Poly's long position.Infosys vs. Tera Software Limited | Infosys vs. Lotus Eye Hospital | Infosys vs. Healthcare Global Enterprises | Infosys vs. Nucleus Software Exports |
Jindal Poly vs. Life Insurance | Jindal Poly vs. Power Finance | Jindal Poly vs. HDFC Bank Limited | Jindal Poly vs. State Bank of |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Other Complementary Tools
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |