Correlation Between Acco Brands and Xponential Fitness
Can any of the company-specific risk be diversified away by investing in both Acco Brands 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 Acco Brands and Xponential Fitness into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Acco Brands and Xponential Fitness, you can compare the effects of market volatilities on Acco Brands 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 Acco Brands with a short position of Xponential Fitness. Check out your portfolio center. Please also check ongoing floating volatility patterns of Acco Brands and Xponential Fitness.
Diversification Opportunities for Acco Brands and Xponential Fitness
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Acco and Xponential is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Acco Brands and Xponential Fitness in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xponential Fitness and Acco Brands 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 Acco Brands 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 Acco Brands i.e., Acco Brands and Xponential Fitness go up and down completely randomly.
Pair Corralation between Acco Brands and Xponential Fitness
Given the investment horizon of 90 days Acco Brands is expected to generate 0.43 times more return on investment than Xponential Fitness. However, Acco Brands is 2.34 times less risky than Xponential Fitness. It trades about -0.07 of its potential returns per unit of risk. Xponential Fitness is currently generating about -0.08 per unit of risk. If you would invest 516.00 in Acco Brands on December 28, 2024 and sell it today you would lose (79.00) from holding Acco Brands or give up 15.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Acco Brands vs. Xponential Fitness
Performance |
Timeline |
Acco Brands |
Xponential Fitness |
Acco Brands and Xponential Fitness Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Acco Brands and Xponential Fitness
The main advantage of trading using opposite Acco Brands and Xponential Fitness positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Acco Brands 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.Acco Brands vs. HNI Corp | Acco Brands vs. Steelcase | Acco Brands vs. Ennis Inc | Acco Brands vs. Acacia Research |
Xponential Fitness vs. Planet Fitness | Xponential Fitness vs. JAKKS Pacific | Xponential Fitness vs. Acushnet Holdings Corp | 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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