Correlation Between Burlington Stores and Coca-Cola FEMSA
Can any of the company-specific risk be diversified away by investing in both Burlington Stores and Coca-Cola FEMSA 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 Burlington Stores and Coca-Cola FEMSA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores and Coca Cola FEMSA SAB, you can compare the effects of market volatilities on Burlington Stores and Coca-Cola FEMSA 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 Burlington Stores with a short position of Coca-Cola FEMSA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores and Coca-Cola FEMSA.
Diversification Opportunities for Burlington Stores and Coca-Cola FEMSA
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Burlington and Coca-Cola is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores and Coca Cola FEMSA SAB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola FEMSA and Burlington Stores 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 Burlington Stores are associated (or correlated) with Coca-Cola FEMSA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coca Cola FEMSA has no effect on the direction of Burlington Stores i.e., Burlington Stores and Coca-Cola FEMSA go up and down completely randomly.
Pair Corralation between Burlington Stores and Coca-Cola FEMSA
Assuming the 90 days trading horizon Burlington Stores is expected to generate 1.74 times more return on investment than Coca-Cola FEMSA. However, Burlington Stores is 1.74 times more volatile than Coca Cola FEMSA SAB. It trades about 0.12 of its potential returns per unit of risk. Coca Cola FEMSA SAB is currently generating about -0.09 per unit of risk. If you would invest 19,500 in Burlington Stores on April 24, 2025 and sell it today you would earn a total of 3,900 from holding Burlington Stores or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Burlington Stores vs. Coca Cola FEMSA SAB
Performance |
Timeline |
Burlington Stores |
Coca Cola FEMSA |
Burlington Stores and Coca-Cola FEMSA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Burlington Stores and Coca-Cola FEMSA
The main advantage of trading using opposite Burlington Stores and Coca-Cola FEMSA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores position performs unexpectedly, Coca-Cola FEMSA 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 Coca-Cola FEMSA will offset losses from the drop in Coca-Cola FEMSA's long position.Burlington Stores vs. Urban Outfitters | Burlington Stores vs. RYU Apparel | Burlington Stores vs. Archer Materials Limited | Burlington Stores vs. CHINA TONTINE WINES |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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