Correlation Between FitLife Brands, and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both FitLife Brands, and Hanover 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 FitLife Brands, and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FitLife Brands, Common and The Hanover Insurance, you can compare the effects of market volatilities on FitLife Brands, and Hanover 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 FitLife Brands, with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of FitLife Brands, and Hanover Insurance.
Diversification Opportunities for FitLife Brands, and Hanover Insurance
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between FitLife and Hanover is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding FitLife Brands, Common and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and FitLife Brands, 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 FitLife Brands, Common are associated (or correlated) with Hanover Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanover Insurance has no effect on the direction of FitLife Brands, i.e., FitLife Brands, and Hanover Insurance go up and down completely randomly.
Pair Corralation between FitLife Brands, and Hanover Insurance
Given the investment horizon of 90 days FitLife Brands, Common is expected to under-perform the Hanover Insurance. In addition to that, FitLife Brands, is 1.77 times more volatile than The Hanover Insurance. It trades about -0.13 of its total potential returns per unit of risk. The Hanover Insurance is currently generating about -0.16 per unit of volatility. If you would invest 16,209 in The Hanover Insurance on September 27, 2024 and sell it today you would lose (669.00) from holding The Hanover Insurance or give up 4.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FitLife Brands, Common vs. The Hanover Insurance
Performance |
Timeline |
FitLife Brands, Common |
Hanover Insurance |
FitLife Brands, and Hanover Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FitLife Brands, and Hanover Insurance
The main advantage of trading using opposite FitLife Brands, and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FitLife Brands, position performs unexpectedly, Hanover 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 Hanover Insurance will offset losses from the drop in Hanover Insurance's long position.FitLife Brands, vs. Kimberly Clark | FitLife Brands, vs. Colgate Palmolive | FitLife Brands, vs. Procter Gamble | FitLife Brands, vs. The Clorox |
Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
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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