Correlation Between Penn National and GRENKELEASING Dusseldorf
Can any of the company-specific risk be diversified away by investing in both Penn National and GRENKELEASING Dusseldorf 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 GRENKELEASING Dusseldorf 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 GRENKELEASING Dusseldorf, you can compare the effects of market volatilities on Penn National and GRENKELEASING Dusseldorf 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 GRENKELEASING Dusseldorf. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and GRENKELEASING Dusseldorf.
Diversification Opportunities for Penn National and GRENKELEASING Dusseldorf
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Penn and GRENKELEASING is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and GRENKELEASING Dusseldorf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GRENKELEASING Dusseldorf 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 GRENKELEASING Dusseldorf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GRENKELEASING Dusseldorf has no effect on the direction of Penn National i.e., Penn National and GRENKELEASING Dusseldorf go up and down completely randomly.
Pair Corralation between Penn National and GRENKELEASING Dusseldorf
Given the investment horizon of 90 days Penn National Gaming is expected to generate 1.04 times more return on investment than GRENKELEASING Dusseldorf. However, Penn National is 1.04 times more volatile than GRENKELEASING Dusseldorf. It trades about -0.01 of its potential returns per unit of risk. GRENKELEASING Dusseldorf is currently generating about -0.04 per unit of risk. If you would invest 1,813 in Penn National Gaming on December 24, 2024 and sell it today you would lose (76.00) from holding Penn National Gaming or give up 4.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. GRENKELEASING Dusseldorf
Performance |
Timeline |
Penn National Gaming |
GRENKELEASING Dusseldorf |
Penn National and GRENKELEASING Dusseldorf Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and GRENKELEASING Dusseldorf
The main advantage of trading using opposite Penn National and GRENKELEASING Dusseldorf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, GRENKELEASING Dusseldorf 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 GRENKELEASING Dusseldorf will offset losses from the drop in GRENKELEASING Dusseldorf'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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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