Correlation Between SBI Life and Life Insurance

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Can any of the company-specific risk be diversified away by investing in both SBI Life and Life Insurance 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 SBI Life and Life Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Life Insurance and Life Insurance, you can compare the effects of market volatilities on SBI Life and Life Insurance 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 SBI Life with a short position of Life Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Life and Life Insurance.

Diversification Opportunities for SBI Life and Life Insurance

0.57
  Correlation Coefficient

Very weak diversification

The 3 months correlation between SBI and Life is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding SBI Life Insurance and Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Life Insurance and SBI Life 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 SBI Life Insurance are associated (or correlated) with Life Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Life Insurance has no effect on the direction of SBI Life i.e., SBI Life and Life Insurance go up and down completely randomly.

Pair Corralation between SBI Life and Life Insurance

Assuming the 90 days trading horizon SBI Life Insurance is expected to under-perform the Life Insurance. In addition to that, SBI Life is 1.08 times more volatile than Life Insurance. It trades about -0.3 of its total potential returns per unit of risk. Life Insurance is currently generating about -0.01 per unit of volatility. If you would invest  90,945  in Life Insurance on September 23, 2024 and sell it today you would lose (775.00) from holding Life Insurance or give up 0.85% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy97.67%
ValuesDaily Returns

SBI Life Insurance  vs.  Life Insurance

 Performance 
       Timeline  
SBI Life Insurance 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days SBI Life Insurance has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Stock's forward indicators remain rather sound which may send shares a bit higher in January 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.
Life Insurance 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Life Insurance has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unfluctuating performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in January 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

SBI Life and Life Insurance Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SBI Life and Life Insurance

The main advantage of trading using opposite SBI Life and Life Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Life position performs unexpectedly, Life Insurance 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 Life Insurance will offset losses from the drop in Life Insurance's long position.
The idea behind SBI Life Insurance and Life Insurance 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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