Correlation Between Waste Management and Penn National
Can any of the company-specific risk be diversified away by investing in both Waste Management and Penn National 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 Waste Management and Penn National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Waste Management and Penn National Gaming, you can compare the effects of market volatilities on Waste Management and Penn National 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 Waste Management with a short position of Penn National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Waste Management and Penn National.
Diversification Opportunities for Waste Management and Penn National
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Waste and Penn is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Waste Management and Penn National Gaming in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penn National Gaming and Waste Management 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 Waste Management are associated (or correlated) with Penn National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penn National Gaming has no effect on the direction of Waste Management i.e., Waste Management and Penn National go up and down completely randomly.
Pair Corralation between Waste Management and Penn National
Assuming the 90 days trading horizon Waste Management is expected to generate 1.97 times less return on investment than Penn National. But when comparing it to its historical volatility, Waste Management is 2.45 times less risky than Penn National. It trades about 0.07 of its potential returns per unit of risk. Penn National Gaming is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,830 in Penn National Gaming on October 26, 2024 and sell it today you would earn a total of 143.00 from holding Penn National Gaming or generate 7.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Waste Management vs. Penn National Gaming
Performance |
Timeline |
Waste Management |
Penn National Gaming |
Waste Management and Penn National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Waste Management and Penn National
The main advantage of trading using opposite Waste Management and Penn National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Waste Management position performs unexpectedly, Penn National 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 National will offset losses from the drop in Penn National's long position.Waste Management vs. Delta Electronics Public | Waste Management vs. KIMBALL ELECTRONICS | Waste Management vs. CENTURIA OFFICE REIT | Waste Management vs. CITY OFFICE REIT |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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