Correlation Between Victorias Secret and Citi Trends
Can any of the company-specific risk be diversified away by investing in both Victorias Secret and Citi Trends 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 Victorias Secret and Citi Trends into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Victorias Secret Co and Citi Trends, you can compare the effects of market volatilities on Victorias Secret and Citi Trends 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 Victorias Secret with a short position of Citi Trends. Check out your portfolio center. Please also check ongoing floating volatility patterns of Victorias Secret and Citi Trends.
Diversification Opportunities for Victorias Secret and Citi Trends
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Victorias and Citi is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Victorias Secret Co and Citi Trends in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citi Trends and Victorias Secret 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 Victorias Secret Co are associated (or correlated) with Citi Trends. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citi Trends has no effect on the direction of Victorias Secret i.e., Victorias Secret and Citi Trends go up and down completely randomly.
Pair Corralation between Victorias Secret and Citi Trends
Given the investment horizon of 90 days Victorias Secret is expected to generate 4.51 times less return on investment than Citi Trends. But when comparing it to its historical volatility, Victorias Secret Co is 1.04 times less risky than Citi Trends. It trades about 0.03 of its potential returns per unit of risk. Citi Trends is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,300 in Citi Trends on May 7, 2025 and sell it today you would earn a total of 737.00 from holding Citi Trends or generate 32.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Victorias Secret Co vs. Citi Trends
Performance |
Timeline |
Victorias Secret |
Citi Trends |
Victorias Secret and Citi Trends Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Victorias Secret and Citi Trends
The main advantage of trading using opposite Victorias Secret and Citi Trends positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Victorias Secret position performs unexpectedly, Citi Trends 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 Citi Trends will offset losses from the drop in Citi Trends' long position.Victorias Secret vs. American Eagle Outfitters | Victorias Secret vs. Bath Body Works | Victorias Secret vs. Burlington Stores | Victorias Secret vs. Capri Holdings |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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