Correlation Between Amundi Index and Multi Units
Can any of the company-specific risk be diversified away by investing in both Amundi Index and Multi Units 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 Multi Units 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 Multi Units France, you can compare the effects of market volatilities on Amundi Index and Multi Units 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 Multi Units. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amundi Index and Multi Units.
Diversification Opportunities for Amundi Index and Multi Units
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amundi and Multi is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Amundi Index Solutions and Multi Units France in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Units France 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 Multi Units. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Units France has no effect on the direction of Amundi Index i.e., Amundi Index and Multi Units go up and down completely randomly.
Pair Corralation between Amundi Index and Multi Units
Assuming the 90 days trading horizon Amundi Index Solutions is expected to under-perform the Multi Units. But the etf apears to be less risky and, when comparing its historical volatility, Amundi Index Solutions is 1.25 times less risky than Multi Units. The etf trades about -0.07 of its potential returns per unit of risk. The Multi Units France is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 2,870 in Multi Units France on August 30, 2024 and sell it today you would lose (107.00) from holding Multi Units France or give up 3.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amundi Index Solutions vs. Multi Units France
Performance |
Timeline |
Amundi Index Solutions |
Multi Units France |
Amundi Index and Multi Units Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amundi Index and Multi Units
The main advantage of trading using opposite Amundi Index and Multi Units positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amundi Index position performs unexpectedly, Multi Units 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 Multi Units will offset losses from the drop in Multi Units' long position.Amundi Index vs. Manitou BF SA | Amundi Index vs. Ossiam Minimum Variance | Amundi Index vs. Ekinops SA | Amundi Index vs. Orapi SA |
Multi Units vs. Manitou BF SA | Multi Units vs. Ossiam Minimum Variance | Multi Units vs. Ekinops SA | Multi Units vs. Orapi SA |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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