Correlation Between Penn National and Effnetplattformen
Can any of the company-specific risk be diversified away by investing in both Penn National and Effnetplattformen 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 Effnetplattformen 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 Effnetplattformen Holding AB, you can compare the effects of market volatilities on Penn National and Effnetplattformen 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 Effnetplattformen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and Effnetplattformen.
Diversification Opportunities for Penn National and Effnetplattformen
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Penn and Effnetplattformen is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and Effnetplattformen Holding AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Effnetplattformen 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 Effnetplattformen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Effnetplattformen has no effect on the direction of Penn National i.e., Penn National and Effnetplattformen go up and down completely randomly.
Pair Corralation between Penn National and Effnetplattformen
Given the investment horizon of 90 days Penn National Gaming is expected to generate 0.62 times more return on investment than Effnetplattformen. However, Penn National Gaming is 1.62 times less risky than Effnetplattformen. It trades about -0.01 of its potential returns per unit of risk. Effnetplattformen Holding AB is currently generating about -0.01 per unit of risk. If you would invest 2,339 in Penn National Gaming on October 7, 2024 and sell it today you would lose (463.00) from holding Penn National Gaming or give up 19.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.12% |
Values | Daily Returns |
Penn National Gaming vs. Effnetplattformen Holding AB
Performance |
Timeline |
Penn National Gaming |
Effnetplattformen |
Penn National and Effnetplattformen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and Effnetplattformen
The main advantage of trading using opposite Penn National and Effnetplattformen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, Effnetplattformen 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 Effnetplattformen will offset losses from the drop in Effnetplattformen'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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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