Correlation Between Citi Trends and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both Citi Trends and Burlington Stores 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 Citi Trends and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citi Trends and Burlington Stores, you can compare the effects of market volatilities on Citi Trends and Burlington Stores 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 Citi Trends with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citi Trends and Burlington Stores.
Diversification Opportunities for Citi Trends and Burlington Stores
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Citi and Burlington is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Citi Trends and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and Citi Trends 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 Citi Trends are associated (or correlated) with Burlington Stores. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Burlington Stores has no effect on the direction of Citi Trends i.e., Citi Trends and Burlington Stores go up and down completely randomly.
Pair Corralation between Citi Trends and Burlington Stores
Given the investment horizon of 90 days Citi Trends is expected to generate 1.55 times more return on investment than Burlington Stores. However, Citi Trends is 1.55 times more volatile than Burlington Stores. It trades about 0.19 of its potential returns per unit of risk. Burlington Stores is currently generating about 0.07 per unit of risk. If you would invest 1,432 in Citi Trends on August 28, 2024 and sell it today you would earn a total of 525.00 from holding Citi Trends or generate 36.66% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Citi Trends vs. Burlington Stores
Performance |
| Timeline |
| Citi Trends |
| Burlington Stores |
Citi Trends and Burlington Stores Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Citi Trends and Burlington Stores
The main advantage of trading using opposite Citi Trends and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citi Trends position performs unexpectedly, Burlington Stores 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 Burlington Stores will offset losses from the drop in Burlington Stores' long position.| Citi Trends vs. JJill Inc | Citi Trends vs. Zumiez Inc | Citi Trends vs. Tillys Inc | Citi Trends vs. Duluth Holdings |
| Burlington Stores vs. The TJX Companies | Burlington Stores vs. Guess Inc | Burlington Stores vs. Urban Outfitters | Burlington Stores vs. Childrens Place |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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