Correlation Between Life Insurance and Infosys
Can any of the company-specific risk be diversified away by investing in both Life 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 Life Insurance and Infosys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Life Insurance and Infosys Limited, you can compare the effects of market volatilities on Life 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 Life Insurance with a short position of Infosys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Life Insurance and Infosys.
Diversification Opportunities for Life Insurance and Infosys
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Life and Infosys is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Life Insurance and Infosys Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infosys Limited and Life 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 Life Insurance 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 Life Insurance i.e., Life Insurance and Infosys go up and down completely randomly.
Pair Corralation between Life Insurance and Infosys
Assuming the 90 days trading horizon Life Insurance is expected to generate 1.14 times less return on investment than Infosys. In addition to that, Life Insurance is 1.38 times more volatile than Infosys Limited. It trades about 0.05 of its total potential returns per unit of risk. Infosys Limited is currently generating about 0.07 per unit of volatility. If you would invest 188,920 in Infosys Limited on September 23, 2024 and sell it today you would earn a total of 3,295 from holding Infosys Limited or generate 1.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Life Insurance vs. Infosys Limited
Performance |
Timeline |
Life Insurance |
Infosys Limited |
Life Insurance and Infosys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Life Insurance and Infosys
The main advantage of trading using opposite Life Insurance and Infosys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Life 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.Life Insurance vs. Kohinoor Foods Limited | Life Insurance vs. Megastar Foods Limited | Life Insurance vs. Pritish Nandy Communications | Life Insurance vs. Tamilnadu Telecommunication Limited |
Infosys vs. State Bank of | Infosys vs. Life Insurance | Infosys vs. HDFC Bank Limited | Infosys vs. ICICI Bank Limited |
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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
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