Correlation Between FinVolution and GraniteShares FAANG
Can any of the company-specific risk be diversified away by investing in both FinVolution 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 FinVolution and GraniteShares FAANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FinVolution Group and GraniteShares FAANG ETC, you can compare the effects of market volatilities on FinVolution 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 FinVolution with a short position of GraniteShares FAANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of FinVolution and GraniteShares FAANG.
Diversification Opportunities for FinVolution and GraniteShares FAANG
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FinVolution and GraniteShares is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding FinVolution Group 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 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 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 FinVolution i.e., FinVolution and GraniteShares FAANG go up and down completely randomly.
Pair Corralation between FinVolution and GraniteShares FAANG
Given the investment horizon of 90 days FinVolution is expected to generate 2.58 times less return on investment than GraniteShares FAANG. In addition to that, FinVolution is 1.46 times more volatile than GraniteShares FAANG ETC. It trades about 0.04 of its total potential returns per unit of risk. GraniteShares FAANG ETC is currently generating about 0.15 per unit of volatility. If you would invest 1,896 in GraniteShares FAANG ETC on October 4, 2024 and sell it today you would earn a total of 3,261 from holding GraniteShares FAANG ETC or generate 171.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
FinVolution Group vs. GraniteShares FAANG ETC
Performance |
Timeline |
FinVolution Group |
GraniteShares FAANG ETC |
FinVolution and GraniteShares FAANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FinVolution and GraniteShares FAANG
The main advantage of trading using opposite FinVolution and GraniteShares FAANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FinVolution 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.FinVolution vs. Visa Class A | FinVolution vs. Aquagold International | FinVolution vs. Thrivent High Yield | FinVolution vs. Morningstar Unconstrained Allocation |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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