Correlation Between Vera Bradley and Duluth Holdings
Can any of the company-specific risk be diversified away by investing in both Vera Bradley and Duluth Holdings 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 Vera Bradley and Duluth Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vera Bradley and Duluth Holdings, you can compare the effects of market volatilities on Vera Bradley and Duluth Holdings 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 Vera Bradley with a short position of Duluth Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vera Bradley and Duluth Holdings.
Diversification Opportunities for Vera Bradley and Duluth Holdings
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Vera and Duluth is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Vera Bradley and Duluth Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duluth Holdings and Vera Bradley 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 Vera Bradley are associated (or correlated) with Duluth Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duluth Holdings has no effect on the direction of Vera Bradley i.e., Vera Bradley and Duluth Holdings go up and down completely randomly.
Pair Corralation between Vera Bradley and Duluth Holdings
Considering the 90-day investment horizon Vera Bradley is expected to generate 0.8 times more return on investment than Duluth Holdings. However, Vera Bradley is 1.25 times less risky than Duluth Holdings. It trades about 0.21 of its potential returns per unit of risk. Duluth Holdings is currently generating about 0.01 per unit of risk. If you would invest 507.00 in Vera Bradley on September 5, 2024 and sell it today you would earn a total of 58.00 from holding Vera Bradley or generate 11.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Vera Bradley vs. Duluth Holdings
Performance |
Timeline |
Vera Bradley |
Duluth Holdings |
Vera Bradley and Duluth Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vera Bradley and Duluth Holdings
The main advantage of trading using opposite Vera Bradley and Duluth Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vera Bradley position performs unexpectedly, Duluth Holdings 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 Duluth Holdings will offset losses from the drop in Duluth Holdings' long position.Vera Bradley vs. Rocky Brands | Vera Bradley vs. Steven Madden | Vera Bradley vs. Wolverine World Wide | Vera Bradley vs. Caleres |
Duluth Holdings vs. Zumiez Inc | Duluth Holdings vs. JJill Inc | Duluth Holdings vs. Shoe Carnival | Duluth Holdings vs. Cato Corporation |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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