Correlation Between Finance Of and Federal Agricultural
Can any of the company-specific risk be diversified away by investing in both Finance Of 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 Finance Of and Federal Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Finance of America and Federal Agricultural Mortgage, you can compare the effects of market volatilities on Finance Of 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 Finance Of with a short position of Federal Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Finance Of and Federal Agricultural.
Diversification Opportunities for Finance Of and Federal Agricultural
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Finance and Federal is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Finance of America and Federal Agricultural Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Agricultural and Finance Of 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 Finance of America 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 Finance Of i.e., Finance Of and Federal Agricultural go up and down completely randomly.
Pair Corralation between Finance Of and Federal Agricultural
Considering the 90-day investment horizon Finance of America is expected to under-perform the Federal Agricultural. In addition to that, Finance Of is 2.36 times more volatile than Federal Agricultural Mortgage. It trades about -0.11 of its total potential returns per unit of risk. Federal Agricultural Mortgage is currently generating about -0.02 per unit of volatility. If you would invest 19,472 in Federal Agricultural Mortgage on December 28, 2024 and sell it today you would lose (614.00) from holding Federal Agricultural Mortgage or give up 3.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Finance of America vs. Federal Agricultural Mortgage
Performance |
Timeline |
Finance of America |
Federal Agricultural |
Finance Of and Federal Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Finance Of and Federal Agricultural
The main advantage of trading using opposite Finance Of and Federal Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Finance Of 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.Finance Of vs. Regional Management Corp | Finance Of vs. Orix Corp Ads | Finance Of vs. FirstCash | Finance Of vs. EZCORP Inc |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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