Correlation Between FinVolution and Federal Agricultural
Can any of the company-specific risk be diversified away by investing in both FinVolution 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 FinVolution and Federal Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FinVolution Group and Federal Agricultural Mortgage, you can compare the effects of market volatilities on FinVolution 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 FinVolution with a short position of Federal Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of FinVolution and Federal Agricultural.
Diversification Opportunities for FinVolution and Federal Agricultural
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between FinVolution and Federal is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding FinVolution Group and Federal Agricultural Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Agricultural and FinVolution 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 FinVolution Group 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 FinVolution i.e., FinVolution and Federal Agricultural go up and down completely randomly.
Pair Corralation between FinVolution and Federal Agricultural
Given the investment horizon of 90 days FinVolution Group is expected to generate 1.09 times more return on investment than Federal Agricultural. However, FinVolution is 1.09 times more volatile than Federal Agricultural Mortgage. It trades about -0.07 of its potential returns per unit of risk. Federal Agricultural Mortgage is currently generating about -0.47 per unit of risk. If you would invest 682.00 in FinVolution Group on October 12, 2024 and sell it today you would lose (17.00) from holding FinVolution Group or give up 2.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FinVolution Group vs. Federal Agricultural Mortgage
Performance |
Timeline |
FinVolution Group |
Federal Agricultural |
FinVolution and Federal Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FinVolution and Federal Agricultural
The main advantage of trading using opposite FinVolution and Federal Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FinVolution 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.FinVolution vs. 360 Finance | FinVolution vs. Lufax Holding | FinVolution vs. Qudian Inc | FinVolution vs. X Financial Class |
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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