Correlation Between Burlington Stores, and PENN Entertainment,
Can any of the company-specific risk be diversified away by investing in both Burlington Stores, and PENN Entertainment, 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 PENN Entertainment, into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores, and PENN Entertainment,, you can compare the effects of market volatilities on Burlington Stores, and PENN Entertainment, 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 PENN Entertainment,. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores, and PENN Entertainment,.
Diversification Opportunities for Burlington Stores, and PENN Entertainment,
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Burlington and PENN is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores, and PENN Entertainment, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PENN Entertainment, 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 PENN Entertainment,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PENN Entertainment, has no effect on the direction of Burlington Stores, i.e., Burlington Stores, and PENN Entertainment, go up and down completely randomly.
Pair Corralation between Burlington Stores, and PENN Entertainment,
Assuming the 90 days trading horizon Burlington Stores, is expected to generate 1.71 times more return on investment than PENN Entertainment,. However, Burlington Stores, is 1.71 times more volatile than PENN Entertainment,. It trades about 0.14 of its potential returns per unit of risk. PENN Entertainment, is currently generating about -0.1 per unit of risk. If you would invest 5,750 in Burlington Stores, on October 5, 2024 and sell it today you would earn a total of 166.00 from holding Burlington Stores, or generate 2.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Burlington Stores, vs. PENN Entertainment,
Performance |
Timeline |
Burlington Stores, |
PENN Entertainment, |
Burlington Stores, and PENN Entertainment, Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Burlington Stores, and PENN Entertainment,
The main advantage of trading using opposite Burlington Stores, and PENN Entertainment, positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores, position performs unexpectedly, PENN Entertainment, 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 PENN Entertainment, will offset losses from the drop in PENN Entertainment,'s long position.Burlington Stores, vs. Costco Wholesale | Burlington Stores, vs. Ross Stores | Burlington Stores, vs. Clave Indices De | Burlington Stores, vs. Fica Empreendimentos Imobiliarios |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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