Correlation Between FitLife Brands, and Old Republic
Can any of the company-specific risk be diversified away by investing in both FitLife Brands, and Old Republic 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 Old Republic 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 Old Republic International, you can compare the effects of market volatilities on FitLife Brands, and Old Republic 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 Old Republic. Check out your portfolio center. Please also check ongoing floating volatility patterns of FitLife Brands, and Old Republic.
Diversification Opportunities for FitLife Brands, and Old Republic
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between FitLife and Old is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding FitLife Brands, Common and Old Republic International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Republic Interna 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 Old Republic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Republic Interna has no effect on the direction of FitLife Brands, i.e., FitLife Brands, and Old Republic go up and down completely randomly.
Pair Corralation between FitLife Brands, and Old Republic
Given the investment horizon of 90 days FitLife Brands, Common is expected to under-perform the Old Republic. In addition to that, FitLife Brands, is 1.83 times more volatile than Old Republic International. It trades about 0.0 of its total potential returns per unit of risk. Old Republic International is currently generating about 0.12 per unit of volatility. If you would invest 3,523 in Old Republic International on September 5, 2024 and sell it today you would earn a total of 297.00 from holding Old Republic International or generate 8.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FitLife Brands, Common vs. Old Republic International
Performance |
Timeline |
FitLife Brands, Common |
Old Republic Interna |
FitLife Brands, and Old Republic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FitLife Brands, and Old Republic
The main advantage of trading using opposite FitLife Brands, and Old Republic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FitLife Brands, position performs unexpectedly, Old Republic 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 Old Republic will offset losses from the drop in Old Republic's long position.FitLife Brands, vs. Noble Romans | FitLife Brands, vs. Greystone Logistics | FitLife Brands, vs. Innovative Food Hldg | FitLife Brands, vs. Galaxy Gaming |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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