Correlation Between Freedom Bank and Xponential Fitness
Can any of the company-specific risk be diversified away by investing in both Freedom Bank 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 Freedom Bank and Xponential Fitness into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Freedom Bank of and Xponential Fitness, you can compare the effects of market volatilities on Freedom Bank 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 Freedom Bank with a short position of Xponential Fitness. Check out your portfolio center. Please also check ongoing floating volatility patterns of Freedom Bank and Xponential Fitness.
Diversification Opportunities for Freedom Bank and Xponential Fitness
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Freedom and Xponential is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Freedom Bank of and Xponential Fitness in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xponential Fitness and Freedom Bank 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 Freedom Bank of 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 Freedom Bank i.e., Freedom Bank and Xponential Fitness go up and down completely randomly.
Pair Corralation between Freedom Bank and Xponential Fitness
Given the investment horizon of 90 days Freedom Bank of is expected to generate 0.26 times more return on investment than Xponential Fitness. However, Freedom Bank of is 3.82 times less risky than Xponential Fitness. It trades about 0.02 of its potential returns per unit of risk. Xponential Fitness is currently generating about -0.03 per unit of risk. If you would invest 1,056 in Freedom Bank of on September 22, 2024 and sell it today you would earn a total of 4.00 from holding Freedom Bank of or generate 0.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Freedom Bank of vs. Xponential Fitness
Performance |
Timeline |
Freedom Bank |
Xponential Fitness |
Freedom Bank and Xponential Fitness Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Freedom Bank and Xponential Fitness
The main advantage of trading using opposite Freedom Bank and Xponential Fitness positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Freedom Bank 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.Freedom Bank vs. National Capital Bank | Freedom Bank vs. Community Heritage Financial | Freedom Bank vs. Citizens Financial Corp | Freedom Bank vs. Bank of Idaho |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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