Correlation Between American Express and Farmers
Can any of the company-specific risk be diversified away by investing in both American Express and Farmers 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 American Express and Farmers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and Farmers And Merchants, you can compare the effects of market volatilities on American Express and Farmers 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 American Express with a short position of Farmers. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and Farmers.
Diversification Opportunities for American Express and Farmers
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between American and Farmers is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding American Express and Farmers And Merchants in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Farmers And Merchants and American Express 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 American Express are associated (or correlated) with Farmers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Farmers And Merchants has no effect on the direction of American Express i.e., American Express and Farmers go up and down completely randomly.
Pair Corralation between American Express and Farmers
Considering the 90-day investment horizon American Express is expected to generate 2.57 times more return on investment than Farmers. However, American Express is 2.57 times more volatile than Farmers And Merchants. It trades about 0.25 of its potential returns per unit of risk. Farmers And Merchants is currently generating about 0.3 per unit of risk. If you would invest 27,408 in American Express on August 31, 2024 and sell it today you would earn a total of 3,017 from holding American Express or generate 11.01% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
American Express vs. Farmers And Merchants
Performance |
| Timeline |
| American Express |
| Farmers And Merchants |
American Express and Farmers Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American Express and Farmers
The main advantage of trading using opposite American Express and Farmers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, Farmers 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 Farmers will offset losses from the drop in Farmers' long position.| American Express vs. Visa Class A | American Express vs. RLJ Lodging Trust | American Express vs. Aquagold International | American Express vs. Stepstone Group |
| Farmers vs. First National Bank | Farmers vs. Farmers Merchants Bancorp | Farmers vs. Exchange Bank | Farmers vs. First National of |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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