Correlation Between Amundi Index and GraniteShares
Can any of the company-specific risk be diversified away by investing in both Amundi Index and GraniteShares 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 Amundi Index and GraniteShares into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amundi Index Solutions and GraniteShares 3x Short, you can compare the effects of market volatilities on Amundi Index and GraniteShares 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 Amundi Index with a short position of GraniteShares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amundi Index and GraniteShares.
Diversification Opportunities for Amundi Index and GraniteShares
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Amundi and GraniteShares is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Amundi Index Solutions and GraniteShares 3x Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares 3x Short and Amundi Index 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 Amundi Index Solutions are associated (or correlated) with GraniteShares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares 3x Short has no effect on the direction of Amundi Index i.e., Amundi Index and GraniteShares go up and down completely randomly.
Pair Corralation between Amundi Index and GraniteShares
Assuming the 90 days trading horizon Amundi Index Solutions is expected to under-perform the GraniteShares. But the etf apears to be less risky and, when comparing its historical volatility, Amundi Index Solutions is 7.54 times less risky than GraniteShares. The etf trades about -0.06 of its potential returns per unit of risk. The GraniteShares 3x Short is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 66,175 in GraniteShares 3x Short on September 5, 2024 and sell it today you would lose (3,087) from holding GraniteShares 3x Short or give up 4.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amundi Index Solutions vs. GraniteShares 3x Short
Performance |
Timeline |
Amundi Index Solutions |
GraniteShares 3x Short |
Amundi Index and GraniteShares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amundi Index and GraniteShares
The main advantage of trading using opposite Amundi Index and GraniteShares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amundi Index position performs unexpectedly, GraniteShares 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 will offset losses from the drop in GraniteShares' long position.Amundi Index vs. WisdomTree Natural Gas | Amundi Index vs. WisdomTree Natural Gas | Amundi Index vs. Leverage Shares 2x | Amundi Index vs. WisdomTree Silver 3x |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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