Correlation Between Brown Forman and Brown Forman
Can any of the company-specific risk be diversified away by investing in both Brown Forman and Brown Forman 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 Brown Forman and Brown Forman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brown Forman and Brown Forman, you can compare the effects of market volatilities on Brown Forman and Brown Forman 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 Brown Forman with a short position of Brown Forman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brown Forman and Brown Forman.
Diversification Opportunities for Brown Forman and Brown Forman
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Brown and Brown is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Brown Forman and Brown Forman in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brown Forman and Brown Forman 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 Brown Forman are associated (or correlated) with Brown Forman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brown Forman has no effect on the direction of Brown Forman i.e., Brown Forman and Brown Forman go up and down completely randomly.
Pair Corralation between Brown Forman and Brown Forman
Given the investment horizon of 90 days Brown Forman is expected to under-perform the Brown Forman. But the stock apears to be less risky and, when comparing its historical volatility, Brown Forman is 1.07 times less risky than Brown Forman. The stock trades about -0.19 of its potential returns per unit of risk. The Brown Forman is currently generating about -0.17 of returns per unit of risk over similar time horizon. If you would invest 4,737 in Brown Forman on August 28, 2024 and sell it today you would lose (546.00) from holding Brown Forman or give up 11.53% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Brown Forman vs. Brown Forman
Performance |
| Timeline |
| Brown Forman |
| Brown Forman |
Brown Forman and Brown Forman Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Brown Forman and Brown Forman
The main advantage of trading using opposite Brown Forman and Brown Forman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brown Forman position performs unexpectedly, Brown Forman 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 Brown Forman will offset losses from the drop in Brown Forman's long position.| Brown Forman vs. Pernod Ricard SA | Brown Forman vs. Willamette Valley Vineyards | Brown Forman vs. MGP Ingredients | Brown Forman vs. Duckhorn Portfolio |
| Brown Forman vs. MGP Ingredients | Brown Forman vs. Diageo PLC ADR | Brown Forman vs. Constellation Brands Class | Brown Forman vs. Duckhorn Portfolio |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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