Correlation Between Wolverine World and Designer Brands
Can any of the company-specific risk be diversified away by investing in both Wolverine World and Designer Brands 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 Wolverine World and Designer Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wolverine World Wide and Designer Brands, you can compare the effects of market volatilities on Wolverine World and Designer Brands 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 Wolverine World with a short position of Designer Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wolverine World and Designer Brands.
Diversification Opportunities for Wolverine World and Designer Brands
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Wolverine and Designer is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Wolverine World Wide and Designer Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Designer Brands and Wolverine World 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 Wolverine World Wide are associated (or correlated) with Designer Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Designer Brands has no effect on the direction of Wolverine World i.e., Wolverine World and Designer Brands go up and down completely randomly.
Pair Corralation between Wolverine World and Designer Brands
Considering the 90-day investment horizon Wolverine World Wide is expected to generate 1.16 times more return on investment than Designer Brands. However, Wolverine World is 1.16 times more volatile than Designer Brands. It trades about 0.19 of its potential returns per unit of risk. Designer Brands is currently generating about -0.07 per unit of risk. If you would invest 1,363 in Wolverine World Wide on August 30, 2024 and sell it today you would earn a total of 954.00 from holding Wolverine World Wide or generate 69.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wolverine World Wide vs. Designer Brands
Performance |
Timeline |
Wolverine World Wide |
Designer Brands |
Wolverine World and Designer Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wolverine World and Designer Brands
The main advantage of trading using opposite Wolverine World and Designer Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wolverine World position performs unexpectedly, Designer Brands 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 Designer Brands will offset losses from the drop in Designer Brands' long position.Wolverine World vs. Steven Madden | Wolverine World vs. Caleres | Wolverine World vs. Weyco Group | Wolverine World vs. Designer Brands |
Designer Brands vs. Wolverine World Wide | Designer Brands vs. Weyco Group | Designer Brands vs. Steven Madden | Designer Brands vs. Rocky Brands |
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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