Correlation Between MARKET VECTR and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both MARKET VECTR 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 MARKET VECTR and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MARKET VECTR RETAIL and Burlington Stores, you can compare the effects of market volatilities on MARKET VECTR 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 MARKET VECTR with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of MARKET VECTR and Burlington Stores.
Diversification Opportunities for MARKET VECTR and Burlington Stores
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between MARKET and Burlington is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding MARKET VECTR RETAIL and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and MARKET VECTR 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 MARKET VECTR RETAIL 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 MARKET VECTR i.e., MARKET VECTR and Burlington Stores go up and down completely randomly.
Pair Corralation between MARKET VECTR and Burlington Stores
Assuming the 90 days trading horizon MARKET VECTR RETAIL is expected to generate 0.32 times more return on investment than Burlington Stores. However, MARKET VECTR RETAIL is 3.11 times less risky than Burlington Stores. It trades about -0.06 of its potential returns per unit of risk. Burlington Stores is currently generating about -0.14 per unit of risk. If you would invest 21,745 in MARKET VECTR RETAIL on December 25, 2024 and sell it today you would lose (800.00) from holding MARKET VECTR RETAIL or give up 3.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MARKET VECTR RETAIL vs. Burlington Stores
Performance |
Timeline |
MARKET VECTR RETAIL |
Burlington Stores |
MARKET VECTR and Burlington Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MARKET VECTR and Burlington Stores
The main advantage of trading using opposite MARKET VECTR and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MARKET VECTR 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.MARKET VECTR vs. SmarTone Telecommunications Holdings | MARKET VECTR vs. ANTA Sports Products | MARKET VECTR vs. Charter Communications | MARKET VECTR vs. USWE SPORTS AB |
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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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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