Correlation Between X Financial and Dfa Commodity
Can any of the company-specific risk be diversified away by investing in both X Financial and Dfa Commodity 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 X Financial and Dfa Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between X Financial Class and Dfa Commodity Strategy, you can compare the effects of market volatilities on X Financial and Dfa Commodity 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 X Financial with a short position of Dfa Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of X Financial and Dfa Commodity.
Diversification Opportunities for X Financial and Dfa Commodity
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between XYF and Dfa is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding X Financial Class and Dfa Commodity Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dfa Commodity Strategy and X Financial 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 X Financial Class are associated (or correlated) with Dfa Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dfa Commodity Strategy has no effect on the direction of X Financial i.e., X Financial and Dfa Commodity go up and down completely randomly.
Pair Corralation between X Financial and Dfa Commodity
Considering the 90-day investment horizon X Financial Class is expected to generate 5.9 times more return on investment than Dfa Commodity. However, X Financial is 5.9 times more volatile than Dfa Commodity Strategy. It trades about 0.22 of its potential returns per unit of risk. Dfa Commodity Strategy is currently generating about 0.06 per unit of risk. If you would invest 708.00 in X Financial Class on October 5, 2024 and sell it today you would earn a total of 133.00 from holding X Financial Class or generate 18.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
X Financial Class vs. Dfa Commodity Strategy
Performance |
Timeline |
X Financial Class |
Dfa Commodity Strategy |
X Financial and Dfa Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X Financial and Dfa Commodity
The main advantage of trading using opposite X Financial and Dfa Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X Financial position performs unexpectedly, Dfa Commodity 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 Dfa Commodity will offset losses from the drop in Dfa Commodity's long position.X Financial vs. LM Funding America | X Financial vs. Nisun International Enterprise | X Financial vs. Qudian Inc | X Financial vs. FinVolution Group |
Dfa Commodity vs. Real Estate Fund | Dfa Commodity vs. Columbia Real Estate | Dfa Commodity vs. Simt Real Estate | Dfa Commodity vs. John Hancock Variable |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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