Correlation Between Designer Brands and Brand Engagement
Can any of the company-specific risk be diversified away by investing in both Designer Brands and Brand Engagement 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 Brand Engagement into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Designer Brands and Brand Engagement Network, you can compare the effects of market volatilities on Designer Brands and Brand Engagement 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 Brand Engagement. Check out your portfolio center. Please also check ongoing floating volatility patterns of Designer Brands and Brand Engagement.
Diversification Opportunities for Designer Brands and Brand Engagement
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Designer and Brand is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Designer Brands and Brand Engagement Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brand Engagement Network 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 Brand Engagement. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brand Engagement Network has no effect on the direction of Designer Brands i.e., Designer Brands and Brand Engagement go up and down completely randomly.
Pair Corralation between Designer Brands and Brand Engagement
Considering the 90-day investment horizon Designer Brands is expected to under-perform the Brand Engagement. But the stock apears to be less risky and, when comparing its historical volatility, Designer Brands is 8.91 times less risky than Brand Engagement. The stock trades about 0.0 of its potential returns per unit of risk. The Brand Engagement Network is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1.80 in Brand Engagement Network on October 11, 2024 and sell it today you would earn a total of 2.50 from holding Brand Engagement Network or generate 138.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 70.3% |
Values | Daily Returns |
Designer Brands vs. Brand Engagement Network
Performance |
Timeline |
Designer Brands |
Brand Engagement Network |
Designer Brands and Brand Engagement Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Designer Brands and Brand Engagement
The main advantage of trading using opposite Designer Brands and Brand Engagement positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Designer Brands position performs unexpectedly, Brand Engagement 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 Brand Engagement will offset losses from the drop in Brand Engagement's 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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