Correlation Between Xponential Fitness and Ascent Solar
Can any of the company-specific risk be diversified away by investing in both Xponential Fitness and Ascent Solar 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 Ascent Solar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xponential Fitness and Ascent Solar Technologies,, you can compare the effects of market volatilities on Xponential Fitness and Ascent Solar 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 Ascent Solar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xponential Fitness and Ascent Solar.
Diversification Opportunities for Xponential Fitness and Ascent Solar
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Xponential and Ascent is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Xponential Fitness and Ascent Solar Technologies, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ascent Solar Technol 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 Ascent Solar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ascent Solar Technol has no effect on the direction of Xponential Fitness i.e., Xponential Fitness and Ascent Solar go up and down completely randomly.
Pair Corralation between Xponential Fitness and Ascent Solar
Given the investment horizon of 90 days Xponential Fitness is expected to generate 1.26 times more return on investment than Ascent Solar. However, Xponential Fitness is 1.26 times more volatile than Ascent Solar Technologies,. It trades about 0.15 of its potential returns per unit of risk. Ascent Solar Technologies, is currently generating about -0.16 per unit of risk. If you would invest 1,259 in Xponential Fitness on August 30, 2024 and sell it today you would earn a total of 262.00 from holding Xponential Fitness or generate 20.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Xponential Fitness vs. Ascent Solar Technologies,
Performance |
Timeline |
Xponential Fitness |
Ascent Solar Technol |
Xponential Fitness and Ascent Solar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xponential Fitness and Ascent Solar
The main advantage of trading using opposite Xponential Fitness and Ascent Solar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xponential Fitness position performs unexpectedly, Ascent Solar 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 Ascent Solar will offset losses from the drop in Ascent Solar's long position.Xponential Fitness vs. Bowlero Corp | 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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