Correlation Between Ceconomy and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both Ceconomy 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 Ceconomy and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceconomy AG ADR and Burlington Stores, you can compare the effects of market volatilities on Ceconomy 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 Ceconomy with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceconomy and Burlington Stores.
Diversification Opportunities for Ceconomy and Burlington Stores
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ceconomy and Burlington is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Ceconomy AG ADR and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and Ceconomy 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 Ceconomy AG ADR 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 Ceconomy i.e., Ceconomy and Burlington Stores go up and down completely randomly.
Pair Corralation between Ceconomy and Burlington Stores
Assuming the 90 days horizon Ceconomy AG ADR is expected to under-perform the Burlington Stores. In addition to that, Ceconomy is 3.19 times more volatile than Burlington Stores. It trades about -0.1 of its total potential returns per unit of risk. Burlington Stores is currently generating about 0.2 per unit of volatility. If you would invest 25,196 in Burlington Stores on October 6, 2024 and sell it today you would earn a total of 3,720 from holding Burlington Stores or generate 14.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ceconomy AG ADR vs. Burlington Stores
Performance |
Timeline |
Ceconomy AG ADR |
Burlington Stores |
Ceconomy and Burlington Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceconomy and Burlington Stores
The main advantage of trading using opposite Ceconomy and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceconomy 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.Ceconomy vs. Green River Gold | Ceconomy vs. Dixons Carphone plc | Ceconomy vs. Tandy Leather Factory | Ceconomy vs. Card Factory plc |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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