Correlation Between Selective Insurance and Infosys
Can any of the company-specific risk be diversified away by investing in both Selective Insurance and Infosys 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 Selective Insurance and Infosys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Selective Insurance Group and Infosys Limited, you can compare the effects of market volatilities on Selective Insurance and Infosys 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 Selective Insurance with a short position of Infosys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Selective Insurance and Infosys.
Diversification Opportunities for Selective Insurance and Infosys
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Selective and Infosys is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Selective Insurance Group and Infosys Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infosys Limited and Selective Insurance 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 Selective Insurance Group are associated (or correlated) with Infosys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Infosys Limited has no effect on the direction of Selective Insurance i.e., Selective Insurance and Infosys go up and down completely randomly.
Pair Corralation between Selective Insurance and Infosys
Assuming the 90 days horizon Selective Insurance is expected to generate 8.14 times less return on investment than Infosys. But when comparing it to its historical volatility, Selective Insurance Group is 1.37 times less risky than Infosys. It trades about 0.01 of its potential returns per unit of risk. Infosys Limited is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,430 in Infosys Limited on April 21, 2025 and sell it today you would earn a total of 120.00 from holding Infosys Limited or generate 8.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Selective Insurance Group vs. Infosys Limited
Performance |
Timeline |
Selective Insurance |
Infosys Limited |
Selective Insurance and Infosys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Selective Insurance and Infosys
The main advantage of trading using opposite Selective Insurance and Infosys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Selective Insurance position performs unexpectedly, Infosys 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 Infosys will offset losses from the drop in Infosys' long position.Selective Insurance vs. ANGLER GAMING PLC | Selective Insurance vs. Iridium Communications | Selective Insurance vs. Liberty Broadband | Selective Insurance vs. HEMISPHERE EGY |
Infosys vs. Selective Insurance Group | Infosys vs. SOUTHWEST AIRLINES | Infosys vs. SBI Insurance Group | Infosys vs. Japan Post Insurance |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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