Correlation Between Life Insurance and SBI Life
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By analyzing existing cross correlation between Life Insurance and SBI Life Insurance, you can compare the effects of market volatilities on Life Insurance and SBI Life 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 SBI Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Life Insurance and SBI Life.
Diversification Opportunities for Life Insurance and SBI Life
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Life and SBI is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Life Insurance and SBI Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Life Insurance 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 SBI Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Life Insurance has no effect on the direction of Life Insurance i.e., Life Insurance and SBI Life go up and down completely randomly.
Pair Corralation between Life Insurance and SBI Life
Assuming the 90 days trading horizon Life Insurance is expected to generate 0.81 times more return on investment than SBI Life. However, Life Insurance is 1.23 times less risky than SBI Life. It trades about -0.06 of its potential returns per unit of risk. SBI Life Insurance is currently generating about -0.28 per unit of risk. If you would invest 90,365 in Life Insurance on August 26, 2024 and sell it today you would lose (1,415) from holding Life Insurance or give up 1.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
Life Insurance vs. SBI Life Insurance
Performance |
Timeline |
Life Insurance |
SBI Life Insurance |
Life Insurance and SBI Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Life Insurance and SBI Life
The main advantage of trading using opposite Life Insurance and SBI Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Life Insurance position performs unexpectedly, SBI Life 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 SBI Life will offset losses from the drop in SBI Life's long position.Life Insurance vs. Gangotri Textiles Limited | Life Insurance vs. Hemisphere Properties India | Life Insurance vs. Kingfa Science Technology | Life Insurance vs. Rico Auto Industries |
SBI Life vs. Gangotri Textiles Limited | SBI Life vs. Hemisphere Properties India | SBI Life vs. Kingfa Science Technology | SBI Life vs. Rico Auto Industries |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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