Amundi Index's market value is the price at which a share of Amundi Index trades on a public exchange. It measures the collective expectations of Amundi Index MSCI investors about its performance. Amundi Index is selling at 55.87 as of the 23rd of July 2025; that is 0.98 percent up since the beginning of the trading day. The etf's last reported lowest price was 55.63. With this module, you can estimate the performance of a buy and hold strategy of Amundi Index MSCI and determine expected loss or profit from investing in Amundi Index over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
Symbol
Amundi
Amundi Index 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Amundi Index's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Amundi Index.
0.00
04/24/2025
No Change 0.00
0.0
In 3 months and 1 day
07/23/2025
0.00
If you would invest 0.00 in Amundi Index on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Amundi Index MSCI or generate 0.0% return on investment in Amundi Index over 90 days.
Amundi Index Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Amundi Index's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Amundi Index MSCI upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amundi Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amundi Index's standard deviation. In reality, there are many statistical measures that can use Amundi Index historical prices to predict the future Amundi Index's volatility.
Amundi Index appears to be very steady, given 3 months investment horizon. Amundi Index MSCI secures Sharpe Ratio (or Efficiency) of 0.24, which signifies that the etf had a 0.24 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Amundi Index MSCI, which you can use to evaluate the volatility of the entity. Please makes use of Amundi Index's Mean Deviation of 0.7433, downside deviation of 0.7314, and Risk Adjusted Performance of 0.2374 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of -0.0275, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Amundi Index are expected to decrease at a much lower rate. During the bear market, Amundi Index is likely to outperform the market.
Auto-correlation
0.30
Below average predictability
Amundi Index MSCI has below average predictability. Overlapping area represents the amount of predictability between Amundi Index time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Amundi Index MSCI price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Amundi Index price fluctuation can be explain by its past prices.
Correlation Coefficient
0.3
Spearman Rank Test
0.43
Residual Average
0.0
Price Variance
0.66
Amundi Index MSCI lagged returns against current returns
Autocorrelation, which is Amundi Index etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Amundi Index's etf expected returns. We can calculate the autocorrelation of Amundi Index returns to help us make a trade decision. For example, suppose you find that Amundi Index has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
Amundi Index regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Amundi Index etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amundi Index etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amundi Index etf over time.
Current vs Lagged Prices
Timeline
Amundi Index Lagged Returns
When evaluating Amundi Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amundi Index etf have on its future price. Amundi Index autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Amundi Index autocorrelation shows the relationship between Amundi Index etf current value and its past values and can show if there is a momentum factor associated with investing in Amundi Index MSCI.
Regressed Prices
Timeline
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