Correlation Between Penn National and FUTURE GAMING
Can any of the company-specific risk be diversified away by investing in both Penn National and FUTURE GAMING 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 FUTURE GAMING 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 FUTURE GAMING GRP, you can compare the effects of market volatilities on Penn National and FUTURE GAMING 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 FUTURE GAMING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and FUTURE GAMING.
Diversification Opportunities for Penn National and FUTURE GAMING
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Penn and FUTURE is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and FUTURE GAMING GRP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FUTURE GAMING GRP 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 FUTURE GAMING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FUTURE GAMING GRP has no effect on the direction of Penn National i.e., Penn National and FUTURE GAMING go up and down completely randomly.
Pair Corralation between Penn National and FUTURE GAMING
Assuming the 90 days horizon Penn National Gaming is expected to generate 0.68 times more return on investment than FUTURE GAMING. However, Penn National Gaming is 1.47 times less risky than FUTURE GAMING. It trades about 0.07 of its potential returns per unit of risk. FUTURE GAMING GRP is currently generating about -0.03 per unit of risk. If you would invest 1,772 in Penn National Gaming on September 16, 2024 and sell it today you would earn a total of 200.00 from holding Penn National Gaming or generate 11.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. FUTURE GAMING GRP
Performance |
Timeline |
Penn National Gaming |
FUTURE GAMING GRP |
Penn National and FUTURE GAMING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and FUTURE GAMING
The main advantage of trading using opposite Penn National and FUTURE GAMING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, FUTURE GAMING 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 FUTURE GAMING will offset losses from the drop in FUTURE GAMING's long position.Penn National vs. Superior Plus Corp | Penn National vs. SIVERS SEMICONDUCTORS AB | Penn National vs. Norsk Hydro ASA | Penn National vs. Reliance Steel Aluminum |
FUTURE GAMING vs. CVS Health | FUTURE GAMING vs. United Rentals | FUTURE GAMING vs. BJs Restaurants | FUTURE GAMING vs. COMMERCIAL VEHICLE |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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