Correlation Between Farmers Merchants and Fomo Worldwide
Can any of the company-specific risk be diversified away by investing in both Farmers Merchants and Fomo Worldwide 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 Farmers Merchants and Fomo Worldwide into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Farmers Merchants Bancorp and Fomo Worldwide, you can compare the effects of market volatilities on Farmers Merchants and Fomo Worldwide 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 Farmers Merchants with a short position of Fomo Worldwide. Check out your portfolio center. Please also check ongoing floating volatility patterns of Farmers Merchants and Fomo Worldwide.
Diversification Opportunities for Farmers Merchants and Fomo Worldwide
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Farmers and Fomo is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Farmers Merchants Bancorp and Fomo Worldwide in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fomo Worldwide and Farmers Merchants 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 Farmers Merchants Bancorp are associated (or correlated) with Fomo Worldwide. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fomo Worldwide has no effect on the direction of Farmers Merchants i.e., Farmers Merchants and Fomo Worldwide go up and down completely randomly.
Pair Corralation between Farmers Merchants and Fomo Worldwide
Given the investment horizon of 90 days Farmers Merchants is expected to generate 1082.47 times less return on investment than Fomo Worldwide. But when comparing it to its historical volatility, Farmers Merchants Bancorp is 107.49 times less risky than Fomo Worldwide. It trades about 0.02 of its potential returns per unit of risk. Fomo Worldwide is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 0.60 in Fomo Worldwide on October 5, 2024 and sell it today you would lose (0.59) from holding Fomo Worldwide or give up 98.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 46.6% |
Values | Daily Returns |
Farmers Merchants Bancorp vs. Fomo Worldwide
Performance |
Timeline |
Farmers Merchants Bancorp |
Fomo Worldwide |
Farmers Merchants and Fomo Worldwide Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Farmers Merchants and Fomo Worldwide
The main advantage of trading using opposite Farmers Merchants and Fomo Worldwide positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Farmers Merchants position performs unexpectedly, Fomo Worldwide 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 Fomo Worldwide will offset losses from the drop in Fomo Worldwide's long position.Farmers Merchants vs. PSB Holdings | Farmers Merchants vs. Eagle Financial Services | Farmers Merchants vs. National Capital Bank | Farmers Merchants vs. Community Heritage Financial |
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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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