Correlation Between FinVolution and Destinations Multi
Can any of the company-specific risk be diversified away by investing in both FinVolution and Destinations Multi 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 Destinations Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FinVolution Group and Destinations Multi Strategy, you can compare the effects of market volatilities on FinVolution and Destinations Multi 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 Destinations Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of FinVolution and Destinations Multi.
Diversification Opportunities for FinVolution and Destinations Multi
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between FinVolution and Destinations is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding FinVolution Group and Destinations Multi Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Destinations Multi 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 Destinations Multi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Destinations Multi has no effect on the direction of FinVolution i.e., FinVolution and Destinations Multi go up and down completely randomly.
Pair Corralation between FinVolution and Destinations Multi
Given the investment horizon of 90 days FinVolution Group is expected to generate 5.54 times more return on investment than Destinations Multi. However, FinVolution is 5.54 times more volatile than Destinations Multi Strategy. It trades about 0.01 of its potential returns per unit of risk. Destinations Multi Strategy is currently generating about -0.08 per unit of risk. If you would invest 675.00 in FinVolution Group on October 5, 2024 and sell it today you would earn a total of 3.00 from holding FinVolution Group or generate 0.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
FinVolution Group vs. Destinations Multi Strategy
Performance |
Timeline |
FinVolution Group |
Destinations Multi |
FinVolution and Destinations Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FinVolution and Destinations Multi
The main advantage of trading using opposite FinVolution and Destinations Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FinVolution position performs unexpectedly, Destinations Multi 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 Destinations Multi will offset losses from the drop in Destinations Multi's long position.FinVolution vs. 360 Finance | FinVolution vs. Lufax Holding | FinVolution vs. Qudian Inc | FinVolution vs. X Financial Class |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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