Correlation Between X Financial and TotalEnergies
Can any of the company-specific risk be diversified away by investing in both X Financial and TotalEnergies 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 TotalEnergies 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 TotalEnergies SE, you can compare the effects of market volatilities on X Financial and TotalEnergies 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 TotalEnergies. Check out your portfolio center. Please also check ongoing floating volatility patterns of X Financial and TotalEnergies.
Diversification Opportunities for X Financial and TotalEnergies
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between XYF and TotalEnergies is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding X Financial Class and TotalEnergies SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TotalEnergies SE 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 TotalEnergies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TotalEnergies SE has no effect on the direction of X Financial i.e., X Financial and TotalEnergies go up and down completely randomly.
Pair Corralation between X Financial and TotalEnergies
Considering the 90-day investment horizon X Financial Class is expected to generate 2.61 times more return on investment than TotalEnergies. However, X Financial is 2.61 times more volatile than TotalEnergies SE. It trades about 0.03 of its potential returns per unit of risk. TotalEnergies SE is currently generating about -0.19 per unit of risk. If you would invest 823.00 in X Financial Class on October 5, 2024 and sell it today you would earn a total of 18.00 from holding X Financial Class or generate 2.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
X Financial Class vs. TotalEnergies SE
Performance |
Timeline |
X Financial Class |
TotalEnergies SE |
X Financial and TotalEnergies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X Financial and TotalEnergies
The main advantage of trading using opposite X Financial and TotalEnergies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X Financial position performs unexpectedly, TotalEnergies 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 TotalEnergies will offset losses from the drop in TotalEnergies' long position.X Financial vs. LM Funding America | X Financial vs. Nisun International Enterprise | X Financial vs. Qudian Inc | X Financial vs. FinVolution Group |
TotalEnergies vs. Micron Technology | TotalEnergies vs. Verizon Communications | TotalEnergies vs. United States Steel | TotalEnergies vs. The Bank of |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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