Ishares Msci Usa Etf Market Value
| KLD Etf | USD 123.40 0.64 0.52% |
| Symbol | IShares |
The market value of iShares MSCI USA 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.
| 01/04/2023 |
| 12/24/2024 |
If you would invest 0.00 in IShares MSCI on January 4, 2023 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 720 days. IShares MSCI is entity of United States. It is traded as Etf on NYSE ARCA exchange. 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 USA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8766 | |||
| Information Ratio | 0.0211 | |||
| Maximum Drawdown | 5.16 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 1.03 |
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 | 0.0509 | |||
| Jensen Alpha | 0.0368 | |||
| Total Risk Alpha | 0.017 | |||
| Sortino Ratio | 0.0183 | |||
| Treynor Ratio | 0.3774 |
iShares MSCI USA Backtested Returns
At this point, IShares MSCI is very steady. iShares MSCI USA holds Efficiency (Sharpe) Ratio of 0.0769, which attests that the entity had a 0.0769% 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 Market Risk Adjusted Performance of 0.3874, downside deviation of 0.8766, and Risk Adjusted Performance of 0.0509 to validate if the risk estimate we provide is consistent with the expected return of 0.0598%. The etf retains a Market Volatility (i.e., Beta) of 0.1, 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 | 0.73 |
Good predictability
iShares MSCI USA has good predictability. Overlapping area represents the amount of predictability between IShares MSCI time series from 4th of January 2023 to 30th of December 2023 and 30th of December 2023 to 24th 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 0.73 indicates that around 73.0% of current IShares MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 60.92 |
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 |
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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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether iShares MSCI USA is a strong investment it is important to analyze IShares MSCI's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact IShares MSCI's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports: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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
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.