Correlation Between Biglari Holdings and RCI Hospitality
Can any of the company-specific risk be diversified away by investing in both Biglari Holdings and RCI Hospitality 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 Biglari Holdings and RCI Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Biglari Holdings and RCI Hospitality Holdings, you can compare the effects of market volatilities on Biglari Holdings and RCI Hospitality 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 Biglari Holdings with a short position of RCI Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Biglari Holdings and RCI Hospitality.
Diversification Opportunities for Biglari Holdings and RCI Hospitality
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Biglari and RCI is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Biglari Holdings and RCI Hospitality Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RCI Hospitality Holdings and Biglari Holdings 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 Biglari Holdings are associated (or correlated) with RCI Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RCI Hospitality Holdings has no effect on the direction of Biglari Holdings i.e., Biglari Holdings and RCI Hospitality go up and down completely randomly.
Pair Corralation between Biglari Holdings and RCI Hospitality
Allowing for the 90-day total investment horizon Biglari Holdings is expected to generate 0.93 times more return on investment than RCI Hospitality. However, Biglari Holdings is 1.07 times less risky than RCI Hospitality. It trades about 0.18 of its potential returns per unit of risk. RCI Hospitality Holdings is currently generating about 0.12 per unit of risk. If you would invest 17,125 in Biglari Holdings on September 4, 2024 and sell it today you would earn a total of 4,479 from holding Biglari Holdings or generate 26.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Biglari Holdings vs. RCI Hospitality Holdings
Performance |
Timeline |
Biglari Holdings |
RCI Hospitality Holdings |
Biglari Holdings and RCI Hospitality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Biglari Holdings and RCI Hospitality
The main advantage of trading using opposite Biglari Holdings and RCI Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Biglari Holdings position performs unexpectedly, RCI Hospitality 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 RCI Hospitality will offset losses from the drop in RCI Hospitality's long position.Biglari Holdings vs. Hyatt Hotels | Biglari Holdings vs. Smart Share Global | Biglari Holdings vs. Sweetgreen | Biglari Holdings vs. Wyndham Hotels Resorts |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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