Correlation Between Burlington Stores and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Burlington Stores and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores and Dow Jones Industrial, you can compare the effects of market volatilities on Burlington Stores and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores and Dow Jones.
Diversification Opportunities for Burlington Stores and Dow Jones
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Burlington and Dow is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Burlington Stores i.e., Burlington Stores and Dow Jones go up and down completely randomly.
Pair Corralation between Burlington Stores and Dow Jones
Assuming the 90 days horizon Burlington Stores is expected to generate 2.74 times more return on investment than Dow Jones. However, Burlington Stores is 2.74 times more volatile than Dow Jones Industrial. It trades about 0.14 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.03 per unit of risk. If you would invest 23,600 in Burlington Stores on September 29, 2024 and sell it today you would earn a total of 4,600 from holding Burlington Stores or generate 19.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Burlington Stores vs. Dow Jones Industrial
Performance |
Timeline |
Burlington Stores and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Burlington Stores
Pair trading matchups for Burlington Stores
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Burlington Stores and Dow Jones
The main advantage of trading using opposite Burlington Stores and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Burlington Stores vs. Walmart | Burlington Stores vs. Target | Burlington Stores vs. Dollar General | Burlington Stores vs. Dollar Tree |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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