Correlation Between Flutter Entertainment and PPHE Hotel
Can any of the company-specific risk be diversified away by investing in both Flutter Entertainment and PPHE Hotel 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 Flutter Entertainment and PPHE Hotel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flutter Entertainment PLC and PPHE Hotel Group, you can compare the effects of market volatilities on Flutter Entertainment and PPHE Hotel 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 Flutter Entertainment with a short position of PPHE Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flutter Entertainment and PPHE Hotel.
Diversification Opportunities for Flutter Entertainment and PPHE Hotel
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Flutter and PPHE is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Flutter Entertainment PLC and PPHE Hotel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PPHE Hotel Group and Flutter Entertainment 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 Flutter Entertainment PLC are associated (or correlated) with PPHE Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PPHE Hotel Group has no effect on the direction of Flutter Entertainment i.e., Flutter Entertainment and PPHE Hotel go up and down completely randomly.
Pair Corralation between Flutter Entertainment and PPHE Hotel
Assuming the 90 days trading horizon Flutter Entertainment PLC is expected to generate 1.34 times more return on investment than PPHE Hotel. However, Flutter Entertainment is 1.34 times more volatile than PPHE Hotel Group. It trades about 0.16 of its potential returns per unit of risk. PPHE Hotel Group is currently generating about 0.1 per unit of risk. If you would invest 1,710,000 in Flutter Entertainment PLC on September 24, 2024 and sell it today you would earn a total of 402,000 from holding Flutter Entertainment PLC or generate 23.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Flutter Entertainment PLC vs. PPHE Hotel Group
Performance |
Timeline |
Flutter Entertainment PLC |
PPHE Hotel Group |
Flutter Entertainment and PPHE Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flutter Entertainment and PPHE Hotel
The main advantage of trading using opposite Flutter Entertainment and PPHE Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flutter Entertainment position performs unexpectedly, PPHE Hotel 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 PPHE Hotel will offset losses from the drop in PPHE Hotel's long position.Flutter Entertainment vs. Ondine Biomedical | Flutter Entertainment vs. Europa Metals | Flutter Entertainment vs. Revolution Beauty Group | Flutter Entertainment vs. Moonpig Group PLC |
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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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