Correlation Between Penn National and American Electric
Can any of the company-specific risk be diversified away by investing in both Penn National and American Electric 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 Penn National and American Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penn National Gaming and American Electric Power, you can compare the effects of market volatilities on Penn National and American Electric 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 Penn National with a short position of American Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and American Electric.
Diversification Opportunities for Penn National and American Electric
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Penn and American is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and American Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Electric Power and Penn National 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 Penn National Gaming are associated (or correlated) with American Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Electric Power has no effect on the direction of Penn National i.e., Penn National and American Electric go up and down completely randomly.
Pair Corralation between Penn National and American Electric
Given the investment horizon of 90 days Penn National Gaming is expected to generate 2.3 times more return on investment than American Electric. However, Penn National is 2.3 times more volatile than American Electric Power. It trades about 0.19 of its potential returns per unit of risk. American Electric Power is currently generating about 0.31 per unit of risk. If you would invest 1,813 in Penn National Gaming on October 23, 2024 and sell it today you would earn a total of 189.00 from holding Penn National Gaming or generate 10.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.44% |
Values | Daily Returns |
Penn National Gaming vs. American Electric Power
Performance |
Timeline |
Penn National Gaming |
American Electric Power |
Penn National and American Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and American Electric
The main advantage of trading using opposite Penn National and American Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, American Electric 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 American Electric will offset losses from the drop in American Electric's long position.Penn National vs. DraftKings | Penn National vs. MGM Resorts International | Penn National vs. Caesars Entertainment | Penn National vs. Boyd Gaming |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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