Correlation Between Brown Forman and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Brown Forman and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brown Forman and Dow Jones Industrial, you can compare the effects of market volatilities on Brown Forman and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brown Forman and Dow Jones.
Diversification Opportunities for Brown Forman and Dow Jones
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Brown and Dow is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Brown Forman and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Brown Forman i.e., Brown Forman and Dow Jones go up and down completely randomly.
Pair Corralation between Brown Forman and Dow Jones
Given the investment horizon of 90 days Brown Forman is expected to under-perform the Dow Jones. In addition to that, Brown Forman is 1.76 times more volatile than Dow Jones Industrial. It trades about -0.45 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of volatility. If you would invest 4,251,495 in Dow Jones Industrial on August 24, 2024 and sell it today you would earn a total of 135,540 from holding Dow Jones Industrial or generate 3.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Brown Forman vs. Dow Jones Industrial
Performance |
| Timeline |
Brown Forman and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Brown Forman
Pair trading matchups for Brown Forman
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Brown Forman and Dow Jones
The main advantage of trading using opposite Brown Forman and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brown Forman position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Brown Forman vs. MGP Ingredients | Brown Forman vs. Diageo PLC ADR | Brown Forman vs. Constellation Brands Class | Brown Forman vs. Duckhorn Portfolio |
| Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Titan Machinery | Dow Jones vs. Simon Property Group |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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