Correlation Between Brand Engagement and Designer Brands
Can any of the company-specific risk be diversified away by investing in both Brand Engagement 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 Brand Engagement and Designer Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brand Engagement Network and Designer Brands, you can compare the effects of market volatilities on Brand Engagement 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 Brand Engagement with a short position of Designer Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brand Engagement and Designer Brands.
Diversification Opportunities for Brand Engagement and Designer Brands
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Brand and Designer is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Brand Engagement Network and Designer Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Designer Brands and Brand Engagement 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 Brand Engagement Network 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 Brand Engagement i.e., Brand Engagement and Designer Brands go up and down completely randomly.
Pair Corralation between Brand Engagement and Designer Brands
Assuming the 90 days horizon Brand Engagement Network is expected to generate 7.17 times more return on investment than Designer Brands. However, Brand Engagement is 7.17 times more volatile than Designer Brands. It trades about 0.17 of its potential returns per unit of risk. Designer Brands is currently generating about 0.04 per unit of risk. If you would invest 2.70 in Brand Engagement Network on October 26, 2024 and sell it today you would earn a total of 2.30 from holding Brand Engagement Network or generate 85.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 72.88% |
Values | Daily Returns |
Brand Engagement Network vs. Designer Brands
Performance |
Timeline |
Brand Engagement Network |
Designer Brands |
Brand Engagement and Designer Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brand Engagement and Designer Brands
The main advantage of trading using opposite Brand Engagement and Designer Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brand Engagement 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.Brand Engagement vs. Snap On | Brand Engagement vs. Weyco Group | Brand Engagement vs. Toro Co | Brand Engagement vs. Timken Company |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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