Correlation Between Biglari Holdings and Acushnet Holdings
Can any of the company-specific risk be diversified away by investing in both Biglari Holdings and Acushnet 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 Biglari Holdings and Acushnet Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Biglari Holdings and Acushnet Holdings Corp, you can compare the effects of market volatilities on Biglari Holdings and Acushnet 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 Biglari Holdings with a short position of Acushnet Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Biglari Holdings and Acushnet Holdings.
Diversification Opportunities for Biglari Holdings and Acushnet Holdings
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Biglari and Acushnet is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Biglari Holdings and Acushnet Holdings Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acushnet Holdings Corp 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 Acushnet Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acushnet Holdings Corp has no effect on the direction of Biglari Holdings i.e., Biglari Holdings and Acushnet Holdings go up and down completely randomly.
Pair Corralation between Biglari Holdings and Acushnet Holdings
Allowing for the 90-day total investment horizon Biglari Holdings is expected to generate 1.02 times more return on investment than Acushnet Holdings. However, Biglari Holdings is 1.02 times more volatile than Acushnet Holdings Corp. It trades about 0.16 of its potential returns per unit of risk. Acushnet Holdings Corp is currently generating about 0.09 per unit of risk. If you would invest 17,201 in Biglari Holdings on September 3, 2024 and sell it today you would earn a total of 3,842 from holding Biglari Holdings or generate 22.34% 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. Acushnet Holdings Corp
Performance |
Timeline |
Biglari Holdings |
Acushnet Holdings Corp |
Biglari Holdings and Acushnet Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Biglari Holdings and Acushnet Holdings
The main advantage of trading using opposite Biglari Holdings and Acushnet Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Biglari Holdings position performs unexpectedly, Acushnet 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 Acushnet Holdings will offset losses from the drop in Acushnet Holdings' long position.Biglari Holdings vs. Highway Holdings Limited | Biglari Holdings vs. QCR Holdings | Biglari Holdings vs. Partner Communications | Biglari Holdings vs. Acumen Pharmaceuticals |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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