Correlation Between Amundi CAC and Amundi Index
Can any of the company-specific risk be diversified away by investing in both Amundi CAC and Amundi Index 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 CAC and Amundi Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amundi CAC 40 and Amundi Index Solutions, you can compare the effects of market volatilities on Amundi CAC and Amundi Index 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 CAC with a short position of Amundi Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amundi CAC and Amundi Index.
Diversification Opportunities for Amundi CAC and Amundi Index
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Amundi and Amundi is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Amundi CAC 40 and Amundi Index Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amundi Index Solutions and Amundi CAC 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 CAC 40 are associated (or correlated) with Amundi Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amundi Index Solutions has no effect on the direction of Amundi CAC i.e., Amundi CAC and Amundi Index go up and down completely randomly.
Pair Corralation between Amundi CAC and Amundi Index
Assuming the 90 days trading horizon Amundi CAC 40 is expected to under-perform the Amundi Index. But the etf apears to be less risky and, when comparing its historical volatility, Amundi CAC 40 is 1.07 times less risky than Amundi Index. The etf trades about -0.24 of its potential returns per unit of risk. The Amundi Index Solutions is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 3,905 in Amundi Index Solutions on August 29, 2024 and sell it today you would lose (73.00) from holding Amundi Index Solutions or give up 1.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Amundi CAC 40 vs. Amundi Index Solutions
Performance |
Timeline |
Amundi CAC 40 |
Amundi Index Solutions |
Amundi CAC and Amundi Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amundi CAC and Amundi Index
The main advantage of trading using opposite Amundi CAC and Amundi Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amundi CAC position performs unexpectedly, Amundi Index 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 Amundi Index will offset losses from the drop in Amundi Index's long position.Amundi CAC vs. Deutsche Telekom AG | Amundi CAC vs. Volkswagen AG | Amundi CAC vs. Bayerische Motoren Werke | Amundi CAC vs. Mnchener Rck AG |
Amundi Index vs. Amundi Index Solutions | Amundi Index vs. Amundi Index Solutions | Amundi Index vs. Amundi Index Solutions | Amundi Index vs. Amundi Index Solutions |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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