Correlation Between Xponential Fitness and Melrose Industries
Can any of the company-specific risk be diversified away by investing in both Xponential Fitness and Melrose Industries 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 Melrose Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xponential Fitness and Melrose Industries PLC, you can compare the effects of market volatilities on Xponential Fitness and Melrose Industries 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 Melrose Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xponential Fitness and Melrose Industries.
Diversification Opportunities for Xponential Fitness and Melrose Industries
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xponential and Melrose is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Xponential Fitness and Melrose Industries PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Melrose Industries PLC 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 Melrose Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Melrose Industries PLC has no effect on the direction of Xponential Fitness i.e., Xponential Fitness and Melrose Industries go up and down completely randomly.
Pair Corralation between Xponential Fitness and Melrose Industries
Given the investment horizon of 90 days Xponential Fitness is expected to generate 1.12 times more return on investment than Melrose Industries. However, Xponential Fitness is 1.12 times more volatile than Melrose Industries PLC. It trades about 0.02 of its potential returns per unit of risk. Melrose Industries PLC is currently generating about -0.11 per unit of risk. If you would invest 1,525 in Xponential Fitness on October 6, 2024 and sell it today you would earn a total of 1.00 from holding Xponential Fitness or generate 0.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Xponential Fitness vs. Melrose Industries PLC
Performance |
Timeline |
Xponential Fitness |
Melrose Industries PLC |
Xponential Fitness and Melrose Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xponential Fitness and Melrose Industries
The main advantage of trading using opposite Xponential Fitness and Melrose Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xponential Fitness position performs unexpectedly, Melrose Industries 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 Melrose Industries will offset losses from the drop in Melrose Industries' long position.Xponential Fitness vs. Chipotle Mexican Grill | Xponential Fitness vs. Yum Brands | Xponential Fitness vs. The Wendys Co | Xponential Fitness vs. Wingstop |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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