Correlation Between Biglari Holdings and First Watch
Can any of the company-specific risk be diversified away by investing in both Biglari Holdings and First Watch 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 First Watch into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Biglari Holdings and First Watch Restaurant, you can compare the effects of market volatilities on Biglari Holdings and First Watch 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 First Watch. Check out your portfolio center. Please also check ongoing floating volatility patterns of Biglari Holdings and First Watch.
Diversification Opportunities for Biglari Holdings and First Watch
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Biglari and First is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Biglari Holdings and First Watch Restaurant in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Watch Restaurant 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 First Watch. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Watch Restaurant has no effect on the direction of Biglari Holdings i.e., Biglari Holdings and First Watch go up and down completely randomly.
Pair Corralation between Biglari Holdings and First Watch
Allowing for the 90-day total investment horizon Biglari Holdings is expected to generate 0.9 times more return on investment than First Watch. However, Biglari Holdings is 1.11 times less risky than First Watch. It trades about 0.09 of its potential returns per unit of risk. First Watch Restaurant is currently generating about 0.01 per unit of risk. If you would invest 15,094 in Biglari Holdings on October 3, 2024 and sell it today you would earn a total of 10,506 from holding Biglari Holdings or generate 69.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Biglari Holdings vs. First Watch Restaurant
Performance |
Timeline |
Biglari Holdings |
First Watch Restaurant |
Biglari Holdings and First Watch Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Biglari Holdings and First Watch
The main advantage of trading using opposite Biglari Holdings and First Watch positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Biglari Holdings position performs unexpectedly, First Watch 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 First Watch will offset losses from the drop in First Watch's long position.Biglari Holdings vs. Chipotle Mexican Grill | Biglari Holdings vs. Dominos Pizza | Biglari Holdings vs. The Wendys Co | Biglari Holdings vs. Wingstop |
First Watch vs. Chipotle Mexican Grill | First Watch vs. Dominos Pizza | First Watch vs. The Wendys Co | First Watch vs. Wingstop |
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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