Correlation Between Wizz Air and Flutter Entertainment
Can any of the company-specific risk be diversified away by investing in both Wizz Air and Flutter Entertainment 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 Wizz Air and Flutter Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wizz Air Holdings and Flutter Entertainment PLC, you can compare the effects of market volatilities on Wizz Air and Flutter Entertainment 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 Wizz Air with a short position of Flutter Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wizz Air and Flutter Entertainment.
Diversification Opportunities for Wizz Air and Flutter Entertainment
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Wizz and Flutter is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Wizz Air Holdings and Flutter Entertainment PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flutter Entertainment PLC and Wizz Air 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 Wizz Air Holdings are associated (or correlated) with Flutter Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flutter Entertainment PLC has no effect on the direction of Wizz Air i.e., Wizz Air and Flutter Entertainment go up and down completely randomly.
Pair Corralation between Wizz Air and Flutter Entertainment
Assuming the 90 days trading horizon Wizz Air Holdings is expected to under-perform the Flutter Entertainment. In addition to that, Wizz Air is 2.13 times more volatile than Flutter Entertainment PLC. It trades about -0.14 of its total potential returns per unit of risk. Flutter Entertainment PLC is currently generating about 0.03 per unit of volatility. If you would invest 2,072,000 in Flutter Entertainment PLC on November 7, 2024 and sell it today you would earn a total of 15,000 from holding Flutter Entertainment PLC or generate 0.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wizz Air Holdings vs. Flutter Entertainment PLC
Performance |
Timeline |
Wizz Air Holdings |
Flutter Entertainment PLC |
Wizz Air and Flutter Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wizz Air and Flutter Entertainment
The main advantage of trading using opposite Wizz Air and Flutter Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wizz Air position performs unexpectedly, Flutter Entertainment 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 Flutter Entertainment will offset losses from the drop in Flutter Entertainment's long position.Wizz Air vs. Livermore Investments Group | Wizz Air vs. Bankers Investment Trust | Wizz Air vs. EVS Broadcast Equipment | Wizz Air vs. Mobius Investment Trust |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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