Correlation Between Biglari Holdings and Golden Heaven
Can any of the company-specific risk be diversified away by investing in both Biglari Holdings and Golden Heaven 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 Golden Heaven into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Biglari Holdings and Golden Heaven Group, you can compare the effects of market volatilities on Biglari Holdings and Golden Heaven 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 Golden Heaven. Check out your portfolio center. Please also check ongoing floating volatility patterns of Biglari Holdings and Golden Heaven.
Diversification Opportunities for Biglari Holdings and Golden Heaven
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Biglari and Golden is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Biglari Holdings and Golden Heaven Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Heaven Group 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 Golden Heaven. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Heaven Group has no effect on the direction of Biglari Holdings i.e., Biglari Holdings and Golden Heaven go up and down completely randomly.
Pair Corralation between Biglari Holdings and Golden Heaven
Allowing for the 90-day total investment horizon Biglari Holdings is expected to under-perform the Golden Heaven. But the stock apears to be less risky and, when comparing its historical volatility, Biglari Holdings is 5.55 times less risky than Golden Heaven. The stock trades about -0.14 of its potential returns per unit of risk. The Golden Heaven Group is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 204.00 in Golden Heaven Group on December 25, 2024 and sell it today you would earn a total of 143.00 from holding Golden Heaven Group or generate 70.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Biglari Holdings vs. Golden Heaven Group
Performance |
Timeline |
Biglari Holdings |
Golden Heaven Group |
Biglari Holdings and Golden Heaven Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Biglari Holdings and Golden Heaven
The main advantage of trading using opposite Biglari Holdings and Golden Heaven positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Biglari Holdings position performs unexpectedly, Golden Heaven 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 Golden Heaven will offset losses from the drop in Golden Heaven's long position.Biglari Holdings vs. Cannae Holdings | Biglari Holdings vs. BJs Restaurants | Biglari Holdings vs. Ark Restaurants Corp | Biglari Holdings vs. Noble Romans |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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