Ishares Msci Emerging Etf Market Value
| EMGF Etf | USD 46.37 1.29 2.71% |
| Symbol | IShares |
The market value of iShares MSCI Emerging 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.
| 11/18/2024 |
| 12/18/2024 |
If you would invest 0.00 in IShares MSCI on November 18, 2024 and sell it all today you would earn a total of 0.00 from holding iShares MSCI Emerging or generate 0.0% return on investment in IShares MSCI over 30 days. IShares MSCI is related to or competes with IShares Edge, IShares MSCI, IShares MSCI, IShares Equity, and IShares MSCI. The fund generally will invest at least 80 percent of its assets in the component securities of the underlying index and... 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 Emerging upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 6.24 | |||
| Value At Risk | (2.00) | |||
| Potential Upside | 2.06 |
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 | (0.0002) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.07) |
iShares MSCI Emerging Backtested Returns
iShares MSCI Emerging holds Efficiency (Sharpe) Ratio of -0.0289, which attests that the entity had a -0.0289% return per unit of risk over the last 3 months. iShares MSCI Emerging exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares MSCI's Standard Deviation of 1.2, risk adjusted performance of (0.0002), and Market Risk Adjusted Performance of (0.06) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.25, 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 | -0.78 |
Almost perfect reverse predictability
iShares MSCI Emerging has almost perfect reverse predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 18th of November 2024 to 3rd of December 2024 and 3rd of December 2024 to 18th 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 Emerging price movement. The serial correlation of -0.78 indicates that around 78.0% of current IShares MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
iShares MSCI Emerging 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 Emerging.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares MSCI Emerging is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if IShares Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ishares Msci Emerging Etf. Highlighted below are key reports to facilitate an investment decision about Ishares Msci Emerging Etf:Check out IShares MSCI Correlation, IShares MSCI Volatility and IShares MSCI Alpha and Beta module to complement your research on IShares MSCI. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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.