Correlation Between FirstCash and Federal Agricultural
Can any of the company-specific risk be diversified away by investing in both FirstCash and Federal Agricultural 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 FirstCash and Federal Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FirstCash and Federal Agricultural Mortgage, you can compare the effects of market volatilities on FirstCash and Federal Agricultural 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 FirstCash with a short position of Federal Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of FirstCash and Federal Agricultural.
Diversification Opportunities for FirstCash and Federal Agricultural
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between FirstCash and Federal is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding FirstCash and Federal Agricultural Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Agricultural and FirstCash 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 FirstCash are associated (or correlated) with Federal Agricultural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Agricultural has no effect on the direction of FirstCash i.e., FirstCash and Federal Agricultural go up and down completely randomly.
Pair Corralation between FirstCash and Federal Agricultural
Given the investment horizon of 90 days FirstCash is expected to under-perform the Federal Agricultural. But the stock apears to be less risky and, when comparing its historical volatility, FirstCash is 1.22 times less risky than Federal Agricultural. The stock trades about -0.07 of its potential returns per unit of risk. The Federal Agricultural Mortgage is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 18,957 in Federal Agricultural Mortgage on September 2, 2024 and sell it today you would earn a total of 2,390 from holding Federal Agricultural Mortgage or generate 12.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FirstCash vs. Federal Agricultural Mortgage
Performance |
Timeline |
FirstCash |
Federal Agricultural |
FirstCash and Federal Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FirstCash and Federal Agricultural
The main advantage of trading using opposite FirstCash and Federal Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FirstCash position performs unexpectedly, Federal Agricultural 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 Federal Agricultural will offset losses from the drop in Federal Agricultural's long position.FirstCash vs. 360 Finance | FirstCash vs. Atlanticus Holdings | FirstCash vs. Qudian Inc | FirstCash vs. Enova International |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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