Correlation Between Penn National and Ainsworth Game
Can any of the company-specific risk be diversified away by investing in both Penn National and Ainsworth Game 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 Ainsworth Game 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 Ainsworth Game Technology, you can compare the effects of market volatilities on Penn National and Ainsworth Game 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 Ainsworth Game. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and Ainsworth Game.
Diversification Opportunities for Penn National and Ainsworth Game
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Penn and Ainsworth is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and Ainsworth Game Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ainsworth Game Technology 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 Ainsworth Game. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ainsworth Game Technology has no effect on the direction of Penn National i.e., Penn National and Ainsworth Game go up and down completely randomly.
Pair Corralation between Penn National and Ainsworth Game
Given the investment horizon of 90 days Penn National Gaming is expected to under-perform the Ainsworth Game. But the stock apears to be less risky and, when comparing its historical volatility, Penn National Gaming is 1.74 times less risky than Ainsworth Game. The stock trades about -0.01 of its potential returns per unit of risk. The Ainsworth Game Technology is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 54.00 in Ainsworth Game Technology on December 21, 2024 and sell it today you would earn a total of 0.00 from holding Ainsworth Game Technology or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. Ainsworth Game Technology
Performance |
Timeline |
Penn National Gaming |
Ainsworth Game Technology |
Penn National and Ainsworth Game Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and Ainsworth Game
The main advantage of trading using opposite Penn National and Ainsworth Game positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, Ainsworth Game 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 Ainsworth Game will offset losses from the drop in Ainsworth Game'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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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