Correlation Between Parker Hannifin and Xponential Fitness
Can any of the company-specific risk be diversified away by investing in both Parker Hannifin and Xponential Fitness 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 Parker Hannifin and Xponential Fitness into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Parker Hannifin and Xponential Fitness, you can compare the effects of market volatilities on Parker Hannifin and Xponential Fitness 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 Parker Hannifin with a short position of Xponential Fitness. Check out your portfolio center. Please also check ongoing floating volatility patterns of Parker Hannifin and Xponential Fitness.
Diversification Opportunities for Parker Hannifin and Xponential Fitness
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Parker and Xponential is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Parker Hannifin and Xponential Fitness in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xponential Fitness and Parker Hannifin 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 Parker Hannifin are associated (or correlated) with Xponential Fitness. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xponential Fitness has no effect on the direction of Parker Hannifin i.e., Parker Hannifin and Xponential Fitness go up and down completely randomly.
Pair Corralation between Parker Hannifin and Xponential Fitness
Allowing for the 90-day total investment horizon Parker Hannifin is expected to generate 1.98 times less return on investment than Xponential Fitness. But when comparing it to its historical volatility, Parker Hannifin is 3.01 times less risky than Xponential Fitness. It trades about 0.14 of its potential returns per unit of risk. Xponential Fitness is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 985.00 in Xponential Fitness on September 3, 2024 and sell it today you would earn a total of 565.00 from holding Xponential Fitness or generate 57.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Parker Hannifin vs. Xponential Fitness
Performance |
| Timeline |
| Parker Hannifin |
| Xponential Fitness |
Parker Hannifin and Xponential Fitness Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Parker Hannifin and Xponential Fitness
The main advantage of trading using opposite Parker Hannifin and Xponential Fitness positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Parker Hannifin position performs unexpectedly, Xponential Fitness 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 Xponential Fitness will offset losses from the drop in Xponential Fitness' long position.| Parker Hannifin vs. Illinois Tool Works | Parker Hannifin vs. Pentair PLC | Parker Hannifin vs. Emerson Electric | Parker Hannifin vs. Smith AO |
| Xponential Fitness vs. Planet Fitness | Xponential Fitness vs. JAKKS Pacific | Xponential Fitness vs. Mattel Inc | Xponential Fitness vs. OneSpaWorld Holdings |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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