Correlation Between EFU General and Universal Insurance
Can any of the company-specific risk be diversified away by investing in both EFU General and Universal 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 EFU General and Universal Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EFU General Insurance and Universal Insurance, you can compare the effects of market volatilities on EFU General and Universal 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 EFU General with a short position of Universal Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of EFU General and Universal Insurance.
Diversification Opportunities for EFU General and Universal Insurance
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between EFU and Universal is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding EFU General Insurance and Universal Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal Insurance and EFU General 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 EFU General Insurance are associated (or correlated) with Universal Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Insurance has no effect on the direction of EFU General i.e., EFU General and Universal Insurance go up and down completely randomly.
Pair Corralation between EFU General and Universal Insurance
Assuming the 90 days trading horizon EFU General Insurance is expected to generate 0.44 times more return on investment than Universal Insurance. However, EFU General Insurance is 2.29 times less risky than Universal Insurance. It trades about -0.07 of its potential returns per unit of risk. Universal Insurance is currently generating about -0.07 per unit of risk. If you would invest 12,007 in EFU General Insurance on October 8, 2024 and sell it today you would lose (406.00) from holding EFU General Insurance or give up 3.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
EFU General Insurance vs. Universal Insurance
Performance |
Timeline |
EFU General Insurance |
Universal Insurance |
EFU General and Universal Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EFU General and Universal Insurance
The main advantage of trading using opposite EFU General and Universal Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EFU General position performs unexpectedly, Universal 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 Universal Insurance will offset losses from the drop in Universal Insurance's long position.EFU General vs. Oil and Gas | EFU General vs. Hi Tech Lubricants | EFU General vs. Air Link Communication | EFU General vs. JS Investments |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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