IShares MSCI's market value is the price at which a share of IShares MSCI trades on a public exchange. It measures the collective expectations of iShares MSCI USA investors about its performance. IShares MSCI is selling for under 11.38 as of the 11th of December 2024; that is 0.18 percent decrease since the beginning of the trading day. The etf's lowest day price was 11.3. With this module, you can estimate the performance of a buy and hold strategy of iShares MSCI USA and determine expected loss or profit from investing in IShares MSCI over a given investment horizon. Check out World Market Map 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 board of governors.
Symbol
IShares
IShares MSCI '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 IShares MSCI'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 IShares MSCI.
0.00
11/11/2024
No Change 0.00
0.0
In 30 days
12/11/2024
0.00
If you would invest 0.00 in IShares MSCI on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding iShares MSCI USA or generate 0.0% return on investment in IShares MSCI over 30 days.
IShares MSCI 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 IShares MSCI'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 iShares MSCI USA 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 IShares MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares MSCI's standard deviation. In reality, there are many statistical measures that can use IShares MSCI historical prices to predict the future IShares MSCI's volatility.
Currently, iShares MSCI USA is out of control. iShares MSCI USA holds Efficiency (Sharpe) Ratio of 0.2, which attests that the entity had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for iShares MSCI USA, which you can use to evaluate the volatility of the entity. Please check out IShares MSCI's Risk Adjusted Performance of 0.1525, downside deviation of 0.6473, and Market Risk Adjusted Performance of 0.6056 to validate if the risk estimate we provide is consistent with the expected return of 0.14%. The etf retains a Market Volatility (i.e., Beta) of 0.24, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares MSCI is expected to be smaller as well.
Auto-correlation
-0.56
Good reverse predictability
iShares MSCI USA has good reverse predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of iShares MSCI USA price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current IShares MSCI price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.56
Spearman Rank Test
0.25
Residual Average
0.0
Price Variance
0.0
iShares MSCI USA lagged returns against current returns
Autocorrelation, which is IShares MSCI 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 IShares MSCI's etf expected returns. We can calculate the autocorrelation of IShares MSCI returns to help us make a trade decision. For example, suppose you find that IShares MSCI 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
IShares MSCI 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 IShares MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares MSCI etf over time.
Current vs Lagged Prices
Timeline
IShares MSCI Lagged Returns
When evaluating IShares MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares MSCI etf have on its future price. IShares MSCI 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, IShares MSCI autocorrelation shows the relationship between IShares MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in iShares MSCI USA.
Regressed Prices
Timeline
Thematic Opportunities
Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.