Correlation Between Xponential Fitness and LuxUrban Hotels
Can any of the company-specific risk be diversified away by investing in both Xponential Fitness and LuxUrban Hotels 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 Xponential Fitness and LuxUrban Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xponential Fitness and LuxUrban Hotels 1300, you can compare the effects of market volatilities on Xponential Fitness and LuxUrban Hotels 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 LuxUrban Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xponential Fitness and LuxUrban Hotels.
Diversification Opportunities for Xponential Fitness and LuxUrban Hotels
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Xponential and LuxUrban is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Xponential Fitness and LuxUrban Hotels 1300 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LuxUrban Hotels 1300 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 LuxUrban Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LuxUrban Hotels 1300 has no effect on the direction of Xponential Fitness i.e., Xponential Fitness and LuxUrban Hotels go up and down completely randomly.
Pair Corralation between Xponential Fitness and LuxUrban Hotels
Given the investment horizon of 90 days Xponential Fitness is expected to generate 0.39 times more return on investment than LuxUrban Hotels. However, Xponential Fitness is 2.56 times less risky than LuxUrban Hotels. It trades about 0.31 of its potential returns per unit of risk. LuxUrban Hotels 1300 is currently generating about -0.31 per unit of risk. If you would invest 1,295 in Xponential Fitness on October 22, 2024 and sell it today you would earn a total of 272.00 from holding Xponential Fitness or generate 21.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Xponential Fitness vs. LuxUrban Hotels 1300
Performance |
Timeline |
Xponential Fitness |
LuxUrban Hotels 1300 |
Xponential Fitness and LuxUrban Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xponential Fitness and LuxUrban Hotels
The main advantage of trading using opposite Xponential Fitness and LuxUrban Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xponential Fitness position performs unexpectedly, LuxUrban Hotels 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 LuxUrban Hotels will offset losses from the drop in LuxUrban Hotels' long position.Xponential Fitness vs. Planet Fitness | Xponential Fitness vs. JAKKS Pacific | Xponential Fitness vs. Acushnet Holdings Corp | Xponential Fitness vs. OneSpaWorld Holdings |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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