Correlation Between Penn National and Federated Floating
Can any of the company-specific risk be diversified away by investing in both Penn National and Federated Floating 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 Federated Floating 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 Federated Floating Rate, you can compare the effects of market volatilities on Penn National and Federated Floating 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 Federated Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and Federated Floating.
Diversification Opportunities for Penn National and Federated Floating
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Penn and Federated is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and Federated Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Floating Rate 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 Federated Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Floating Rate has no effect on the direction of Penn National i.e., Penn National and Federated Floating go up and down completely randomly.
Pair Corralation between Penn National and Federated Floating
Given the investment horizon of 90 days Penn National Gaming is expected to under-perform the Federated Floating. In addition to that, Penn National is 19.93 times more volatile than Federated Floating Rate. It trades about -0.01 of its total potential returns per unit of risk. Federated Floating Rate is currently generating about 0.12 per unit of volatility. If you would invest 848.00 in Federated Floating Rate on December 21, 2024 and sell it today you would earn a total of 9.00 from holding Federated Floating Rate or generate 1.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Penn National Gaming vs. Federated Floating Rate
Performance |
Timeline |
Penn National Gaming |
Federated Floating Rate |
Penn National and Federated Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and Federated Floating
The main advantage of trading using opposite Penn National and Federated Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, Federated Floating 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 Federated Floating will offset losses from the drop in Federated Floating'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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