Correlation Between LIFENET INSURANCE and Selective Insurance
Can any of the company-specific risk be diversified away by investing in both LIFENET INSURANCE and Selective 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 LIFENET INSURANCE and Selective Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LIFENET INSURANCE CO and Selective Insurance Group, you can compare the effects of market volatilities on LIFENET INSURANCE and Selective 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 LIFENET INSURANCE with a short position of Selective Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of LIFENET INSURANCE and Selective Insurance.
Diversification Opportunities for LIFENET INSURANCE and Selective Insurance
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between LIFENET and Selective is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding LIFENET INSURANCE CO and Selective Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Selective Insurance and LIFENET 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 LIFENET INSURANCE CO are associated (or correlated) with Selective Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Selective Insurance has no effect on the direction of LIFENET INSURANCE i.e., LIFENET INSURANCE and Selective Insurance go up and down completely randomly.
Pair Corralation between LIFENET INSURANCE and Selective Insurance
Assuming the 90 days horizon LIFENET INSURANCE CO is expected to under-perform the Selective Insurance. But the stock apears to be less risky and, when comparing its historical volatility, LIFENET INSURANCE CO is 2.06 times less risky than Selective Insurance. The stock trades about -0.07 of its potential returns per unit of risk. The Selective Insurance Group is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 8,610 in Selective Insurance Group on December 28, 2024 and sell it today you would lose (310.00) from holding Selective Insurance Group or give up 3.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
LIFENET INSURANCE CO vs. Selective Insurance Group
Performance |
Timeline |
LIFENET INSURANCE |
Selective Insurance |
LIFENET INSURANCE and Selective Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LIFENET INSURANCE and Selective Insurance
The main advantage of trading using opposite LIFENET INSURANCE and Selective Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LIFENET INSURANCE position performs unexpectedly, Selective 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 Selective Insurance will offset losses from the drop in Selective Insurance's long position.LIFENET INSURANCE vs. Enter Air SA | LIFENET INSURANCE vs. Wizz Air Holdings | LIFENET INSURANCE vs. WIZZ AIR HLDGUNSPADR4 | LIFENET INSURANCE vs. Wayside Technology Group |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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