Correlation Between X Financial and GraniteShares FAANG
Can any of the company-specific risk be diversified away by investing in both X Financial and GraniteShares FAANG 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 GraniteShares FAANG 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 GraniteShares FAANG ETC, you can compare the effects of market volatilities on X Financial and GraniteShares FAANG 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 GraniteShares FAANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of X Financial and GraniteShares FAANG.
Diversification Opportunities for X Financial and GraniteShares FAANG
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between XYF and GraniteShares is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding X Financial Class and GraniteShares FAANG ETC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares FAANG ETC 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 GraniteShares FAANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares FAANG ETC has no effect on the direction of X Financial i.e., X Financial and GraniteShares FAANG go up and down completely randomly.
Pair Corralation between X Financial and GraniteShares FAANG
Considering the 90-day investment horizon X Financial Class is expected to generate 2.77 times more return on investment than GraniteShares FAANG. However, X Financial is 2.77 times more volatile than GraniteShares FAANG ETC. It trades about 0.06 of its potential returns per unit of risk. GraniteShares FAANG ETC is currently generating about 0.15 per unit of risk. If you would invest 349.00 in X Financial Class on October 4, 2024 and sell it today you would earn a total of 484.00 from holding X Financial Class or generate 138.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
X Financial Class vs. GraniteShares FAANG ETC
Performance |
Timeline |
X Financial Class |
GraniteShares FAANG ETC |
X Financial and GraniteShares FAANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X Financial and GraniteShares FAANG
The main advantage of trading using opposite X Financial and GraniteShares FAANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X Financial position performs unexpectedly, GraniteShares FAANG 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 GraniteShares FAANG will offset losses from the drop in GraniteShares FAANG'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 |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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