Correlation Between Xponential Fitness and 38869AAD9
Specify exactly 2 symbols:
By analyzing existing cross correlation between Xponential Fitness and US38869AAD90, you can compare the effects of market volatilities on Xponential Fitness and 38869AAD9 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 Xponential Fitness with a short position of 38869AAD9. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xponential Fitness and 38869AAD9.
Diversification Opportunities for Xponential Fitness and 38869AAD9
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xponential and 38869AAD9 is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Xponential Fitness and US38869AAD90 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US38869AAD90 and Xponential Fitness 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 Xponential Fitness are associated (or correlated) with 38869AAD9. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US38869AAD90 has no effect on the direction of Xponential Fitness i.e., Xponential Fitness and 38869AAD9 go up and down completely randomly.
Pair Corralation between Xponential Fitness and 38869AAD9
Given the investment horizon of 90 days Xponential Fitness is expected to generate 112.34 times less return on investment than 38869AAD9. But when comparing it to its historical volatility, Xponential Fitness is 13.49 times less risky than 38869AAD9. It trades about 0.01 of its potential returns per unit of risk. US38869AAD90 is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 8,850 in US38869AAD90 on October 7, 2024 and sell it today you would lose (62.00) from holding US38869AAD90 or give up 0.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 81.05% |
Values | Daily Returns |
Xponential Fitness vs. US38869AAD90
Performance |
Timeline |
Xponential Fitness |
US38869AAD90 |
Xponential Fitness and 38869AAD9 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xponential Fitness and 38869AAD9
The main advantage of trading using opposite Xponential Fitness and 38869AAD9 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xponential Fitness position performs unexpectedly, 38869AAD9 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 38869AAD9 will offset losses from the drop in 38869AAD9's long position.Xponential Fitness vs. Planet Fitness | Xponential Fitness vs. Bowlero Corp | Xponential Fitness vs. JAKKS Pacific | Xponential Fitness vs. Acushnet Holdings Corp |
38869AAD9 vs. AEP TEX INC | 38869AAD9 vs. US BANK NATIONAL | 38869AAD9 vs. Moelis Co | 38869AAD9 vs. Pure Storage |
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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Other Complementary Tools
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |