Correlation Between X Financial and WSDMTR ERNGS
Can any of the company-specific risk be diversified away by investing in both X Financial and WSDMTR ERNGS 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 WSDMTR ERNGS 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 WSDMTR ERNGS 500, you can compare the effects of market volatilities on X Financial and WSDMTR ERNGS 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 WSDMTR ERNGS. Check out your portfolio center. Please also check ongoing floating volatility patterns of X Financial and WSDMTR ERNGS.
Diversification Opportunities for X Financial and WSDMTR ERNGS
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between XYF and WSDMTR is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding X Financial Class and WSDMTR ERNGS 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WSDMTR ERNGS 500 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 WSDMTR ERNGS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WSDMTR ERNGS 500 has no effect on the direction of X Financial i.e., X Financial and WSDMTR ERNGS go up and down completely randomly.
Pair Corralation between X Financial and WSDMTR ERNGS
Considering the 90-day investment horizon X Financial Class is expected to generate 2.83 times more return on investment than WSDMTR ERNGS. However, X Financial is 2.83 times more volatile than WSDMTR ERNGS 500. It trades about 0.11 of its potential returns per unit of risk. WSDMTR ERNGS 500 is currently generating about 0.19 per unit of risk. If you would invest 346.00 in X Financial Class on October 5, 2024 and sell it today you would earn a total of 495.00 from holding X Financial Class or generate 143.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.88% |
Values | Daily Returns |
X Financial Class vs. WSDMTR ERNGS 500
Performance |
Timeline |
X Financial Class |
WSDMTR ERNGS 500 |
X Financial and WSDMTR ERNGS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X Financial and WSDMTR ERNGS
The main advantage of trading using opposite X Financial and WSDMTR ERNGS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X Financial position performs unexpectedly, WSDMTR ERNGS 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 WSDMTR ERNGS will offset losses from the drop in WSDMTR ERNGS'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 |
WSDMTR ERNGS vs. Vanguard Index Funds | WSDMTR ERNGS vs. Vanguard Index Funds | WSDMTR ERNGS vs. Vanguard STAR Funds | WSDMTR ERNGS vs. SPDR SP 500 |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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