Correlation Between Designer Brands and Philip Morris
Can any of the company-specific risk be diversified away by investing in both Designer Brands and Philip Morris 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 Designer Brands and Philip Morris into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Designer Brands and Philip Morris International, you can compare the effects of market volatilities on Designer Brands and Philip Morris 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 Designer Brands with a short position of Philip Morris. Check out your portfolio center. Please also check ongoing floating volatility patterns of Designer Brands and Philip Morris.
Diversification Opportunities for Designer Brands and Philip Morris
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Designer and Philip is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Designer Brands and Philip Morris International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Philip Morris Intern and Designer Brands 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 Designer Brands are associated (or correlated) with Philip Morris. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Philip Morris Intern has no effect on the direction of Designer Brands i.e., Designer Brands and Philip Morris go up and down completely randomly.
Pair Corralation between Designer Brands and Philip Morris
Considering the 90-day investment horizon Designer Brands is expected to generate 2.34 times more return on investment than Philip Morris. However, Designer Brands is 2.34 times more volatile than Philip Morris International. It trades about 0.02 of its potential returns per unit of risk. Philip Morris International is currently generating about 0.03 per unit of risk. If you would invest 572.00 in Designer Brands on September 13, 2024 and sell it today you would earn a total of 2.00 from holding Designer Brands or generate 0.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Designer Brands vs. Philip Morris International
Performance |
Timeline |
Designer Brands |
Philip Morris Intern |
Designer Brands and Philip Morris Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Designer Brands and Philip Morris
The main advantage of trading using opposite Designer Brands and Philip Morris positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Designer Brands position performs unexpectedly, Philip Morris 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 Philip Morris will offset losses from the drop in Philip Morris' long position.Designer Brands vs. Wolverine World Wide | Designer Brands vs. Weyco Group | Designer Brands vs. Steven Madden | Designer Brands vs. Rocky Brands |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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