Correlation Between FitLife Brands, and Biglari Holdings
Can any of the company-specific risk be diversified away by investing in both FitLife Brands, and Biglari Holdings 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 Biglari Holdings 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 Biglari Holdings, you can compare the effects of market volatilities on FitLife Brands, and Biglari Holdings 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 Biglari Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of FitLife Brands, and Biglari Holdings.
Diversification Opportunities for FitLife Brands, and Biglari Holdings
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between FitLife and Biglari is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding FitLife Brands, Common and Biglari Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biglari Holdings 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 Biglari Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biglari Holdings has no effect on the direction of FitLife Brands, i.e., FitLife Brands, and Biglari Holdings go up and down completely randomly.
Pair Corralation between FitLife Brands, and Biglari Holdings
Given the investment horizon of 90 days FitLife Brands, Common is expected to under-perform the Biglari Holdings. In addition to that, FitLife Brands, is 1.12 times more volatile than Biglari Holdings. It trades about -0.06 of its total potential returns per unit of risk. Biglari Holdings is currently generating about 0.39 per unit of volatility. If you would invest 18,548 in Biglari Holdings on September 13, 2024 and sell it today you would earn a total of 4,531 from holding Biglari Holdings or generate 24.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
FitLife Brands, Common vs. Biglari Holdings
Performance |
| Timeline |
| FitLife Brands, Common |
| Biglari Holdings |
FitLife Brands, and Biglari Holdings Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FitLife Brands, and Biglari Holdings
The main advantage of trading using opposite FitLife Brands, and Biglari Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FitLife Brands, position performs unexpectedly, Biglari Holdings 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 Biglari Holdings will offset losses from the drop in Biglari Holdings' long position.| FitLife Brands, vs. Noble Romans | FitLife Brands, vs. Greystone Logistics | FitLife Brands, vs. Innovative Food Hldg | FitLife Brands, vs. Galaxy Gaming |
| Biglari Holdings vs. Cannae Holdings | Biglari Holdings vs. BJs Restaurants | Biglari Holdings vs. Ark Restaurants Corp | Biglari Holdings vs. Noble Romans |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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