Ishares Broad Usd Etf Market Value
USIG Etf | USD 51.65 0.24 0.47% |
Symbol | IShares |
The market value of iShares Broad USD 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 Broad's value that differs from its market value or its book value, called intrinsic value, which is IShares Broad'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 Broad's market value can be influenced by many factors that don't directly affect IShares Broad'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 Broad's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Broad is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Broad'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 Broad '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 Broad'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 Broad.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in IShares Broad on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Broad USD or generate 0.0% return on investment in IShares Broad over 30 days. IShares Broad is related to or competes with IShares 5, IShares Broad, IShares 1, IShares 0, and IShares Core. The fund will invest at least 80 percent of its assets in the component securities of the underlying index, and the fund... More
IShares Broad 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 Broad'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 Broad USD upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.342 | |||
Information Ratio | (0.39) | |||
Maximum Drawdown | 1.59 | |||
Value At Risk | (0.50) | |||
Potential Upside | 0.4858 |
IShares Broad Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Broad's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Broad's standard deviation. In reality, there are many statistical measures that can use IShares Broad historical prices to predict the future IShares Broad's volatility.Risk Adjusted Performance | (0.0001) | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | (0.39) | |||
Treynor Ratio | 0.2498 |
iShares Broad USD Backtested Returns
At this point, IShares Broad is very steady. iShares Broad USD holds Efficiency (Sharpe) Ratio of 0.0187, which attests that the entity had a 0.0187% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Broad USD, which you can use to evaluate the volatility of the entity. Please check out IShares Broad's Risk Adjusted Performance of (0.0001), market risk adjusted performance of 0.2598, and Downside Deviation of 0.342 to validate if the risk estimate we provide is consistent with the expected return of 0.0063%. The etf retains a Market Volatility (i.e., Beta) of -0.0178, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares Broad are expected to decrease at a much lower rate. During the bear market, IShares Broad is likely to outperform the market.
Auto-correlation | -0.14 |
Insignificant reverse predictability
iShares Broad USD has insignificant reverse predictability. Overlapping area represents the amount of predictability between IShares Broad time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 Broad USD price movement. The serial correlation of -0.14 indicates that less than 14.0% of current IShares Broad price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.14 | |
Spearman Rank Test | -0.08 | |
Residual Average | 0.0 | |
Price Variance | 0.1 |
iShares Broad USD lagged returns against current returns
Autocorrelation, which is IShares Broad 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 Broad's etf expected returns. We can calculate the autocorrelation of IShares Broad returns to help us make a trade decision. For example, suppose you find that IShares Broad 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 Broad 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 Broad etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Broad etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Broad etf over time.
Current vs Lagged Prices |
Timeline |
IShares Broad Lagged Returns
When evaluating IShares Broad's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Broad etf have on its future price. IShares Broad 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 Broad autocorrelation shows the relationship between IShares Broad etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Broad USD.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares Broad USD is a strong investment it is important to analyze IShares Broad'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 Broad's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out IShares Broad Correlation, IShares Broad Volatility and IShares Broad Alpha and Beta module to complement your research on IShares Broad. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
IShares Broad 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.