Ishares Msci Intl Etf Market Value
| IMTM Etf | USD 37.32 0.10 0.27% |
| Symbol | IShares |
The market value of iShares MSCI Intl is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares MSCI's value that differs from its market value or its book value, called intrinsic value, which is IShares MSCI's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IShares MSCI's market value can be influenced by many factors that don't directly affect IShares MSCI's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IShares MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares MSCI's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in IShares MSCI on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding iShares MSCI Intl or generate 0.0% return on investment in IShares MSCI over 30 days. IShares MSCI is related to or competes with Alpha Architect, Alpha Architect, Alpha Architect, and Alpha Architect. The fund will invest at least 80 percent of its assets in the component securities of the index and in investments that ... More
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 Intl upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.732 | |||
| Information Ratio | 0.0709 | |||
| Maximum Drawdown | 3.2 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.17 |
IShares MSCI Market Risk Indicators
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.| Risk Adjusted Performance | 0.1043 | |||
| Jensen Alpha | 0.0597 | |||
| Total Risk Alpha | 0.0414 | |||
| Sortino Ratio | 0.0695 | |||
| Treynor Ratio | 0.1289 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares MSCI's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
iShares MSCI Intl Backtested Returns
We consider IShares MSCI very steady. iShares MSCI Intl holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares MSCI Intl, which you can use to evaluate the volatility of the entity. Please check out IShares MSCI's Market Risk Adjusted Performance of 0.1389, downside deviation of 0.732, and Risk Adjusted Performance of 0.1043 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The etf retains a Market Volatility (i.e., Beta) of 0.85, which attests to possible diversification benefits within a given portfolio. 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 | 0.81 |
Very good predictability
iShares MSCI Intl has very good predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Intl price movement. The serial correlation of 0.81 indicates that around 81.0% of current IShares MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
iShares MSCI Intl 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 Intl.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards IShares MSCI in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, IShares MSCI's short interest history, or implied volatility extrapolated from IShares MSCI options trading.
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IShares MSCI technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.