Correlation Between 1StdibsCom and Designer Brands
Can any of the company-specific risk be diversified away by investing in both 1StdibsCom 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 1StdibsCom and Designer Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 1StdibsCom and Designer Brands, you can compare the effects of market volatilities on 1StdibsCom 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 1StdibsCom with a short position of Designer Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of 1StdibsCom and Designer Brands.
Diversification Opportunities for 1StdibsCom and Designer Brands
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 1StdibsCom and Designer is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding 1StdibsCom and Designer Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Designer Brands and 1StdibsCom 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 1StdibsCom 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 1StdibsCom i.e., 1StdibsCom and Designer Brands go up and down completely randomly.
Pair Corralation between 1StdibsCom and Designer Brands
Given the investment horizon of 90 days 1StdibsCom is expected to under-perform the Designer Brands. But the stock apears to be less risky and, when comparing its historical volatility, 1StdibsCom is 1.93 times less risky than Designer Brands. The stock trades about -0.07 of its potential returns per unit of risk. The Designer Brands is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 500.00 in Designer Brands on September 23, 2024 and sell it today you would earn a total of 60.00 from holding Designer Brands or generate 12.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
1StdibsCom vs. Designer Brands
Performance |
Timeline |
1StdibsCom |
Designer Brands |
1StdibsCom and Designer Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 1StdibsCom and Designer Brands
The main advantage of trading using opposite 1StdibsCom and Designer Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 1StdibsCom 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.1StdibsCom vs. PDD Holdings | 1StdibsCom vs. Alibaba Group Holding | 1StdibsCom vs. Sea | 1StdibsCom vs. Wayfair |
Designer Brands vs. Macys Inc | Designer Brands vs. Wayfair | Designer Brands vs. 1StdibsCom | Designer Brands vs. AutoNation |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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