Correlation Between Burlington Stores and GEELY AUTOMOBILE
Can any of the company-specific risk be diversified away by investing in both Burlington Stores and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores and GEELY AUTOMOBILE, you can compare the effects of market volatilities on Burlington Stores and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores and GEELY AUTOMOBILE.
Diversification Opportunities for Burlington Stores and GEELY AUTOMOBILE
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Burlington and GEELY is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores and GEELY AUTOMOBILE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GEELY AUTOMOBILE 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 GEELY AUTOMOBILE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GEELY AUTOMOBILE has no effect on the direction of Burlington Stores i.e., Burlington Stores and GEELY AUTOMOBILE go up and down completely randomly.
Pair Corralation between Burlington Stores and GEELY AUTOMOBILE
Assuming the 90 days trading horizon Burlington Stores is expected to generate 0.81 times more return on investment than GEELY AUTOMOBILE. However, Burlington Stores is 1.24 times less risky than GEELY AUTOMOBILE. It trades about 0.43 of its potential returns per unit of risk. GEELY AUTOMOBILE is currently generating about -0.02 per unit of risk. If you would invest 22,600 in Burlington Stores on September 3, 2024 and sell it today you would earn a total of 4,600 from holding Burlington Stores or generate 20.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Burlington Stores vs. GEELY AUTOMOBILE
Performance |
| Timeline |
| Burlington Stores |
| GEELY AUTOMOBILE |
Burlington Stores and GEELY AUTOMOBILE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Burlington Stores and GEELY AUTOMOBILE
The main advantage of trading using opposite Burlington Stores and GEELY AUTOMOBILE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores position performs unexpectedly, GEELY AUTOMOBILE 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 GEELY AUTOMOBILE will offset losses from the drop in GEELY AUTOMOBILE's long position.| Burlington Stores vs. Apple Inc | Burlington Stores vs. Apple Inc | Burlington Stores vs. Apple Inc | Burlington Stores vs. Apple Inc |
| GEELY AUTOMOBILE vs. TOTAL GABON | GEELY AUTOMOBILE vs. Walgreens Boots Alliance | GEELY AUTOMOBILE vs. Peak Resources Limited |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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