Ishares Utilities Etf Market Value
| IDU Etf | USD 102.62 0.79 0.76% |
| Symbol | IShares |
The market value of iShares Utilities ETF 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 Utilities' value that differs from its market value or its book value, called intrinsic value, which is IShares Utilities' 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 Utilities' market value can be influenced by many factors that don't directly affect IShares Utilities' 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 Utilities' value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Utilities is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Utilities' 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 Utilities '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 Utilities' 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 Utilities.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in IShares Utilities on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Utilities ETF or generate 0.0% return on investment in IShares Utilities over 30 days. IShares Utilities is related to or competes with Vanguard Consumer, Vanguard Materials, Vanguard Communication, Vanguard Financials, and Vanguard Industrials. The fund generally will invest at least 80 percent of its assets in the component securities of its underlying index and... More
IShares Utilities 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 Utilities' 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 Utilities ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9717 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 4.41 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.68 |
IShares Utilities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Utilities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Utilities' standard deviation. In reality, there are many statistical measures that can use IShares Utilities historical prices to predict the future IShares Utilities' volatility.| Risk Adjusted Performance | 0.0785 | |||
| Jensen Alpha | 0.0592 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.3397 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Utilities' 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 Utilities ETF Backtested Returns
Currently, iShares Utilities ETF is very steady. iShares Utilities ETF holds Efficiency (Sharpe) Ratio of 0.1, which attests that the entity had a 0.1% return per unit of risk over the last 3 months. We have found thirty technical indicators for iShares Utilities ETF, which you can use to evaluate the volatility of the entity. Please check out IShares Utilities' Downside Deviation of 0.9717, market risk adjusted performance of 0.3497, and Risk Adjusted Performance of 0.0785 to validate if the risk estimate we provide is consistent with the expected return of 0.0966%. 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 Utilities' returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Utilities is expected to be smaller as well.
Auto-correlation | 0.28 |
Poor predictability
iShares Utilities ETF has poor predictability. Overlapping area represents the amount of predictability between IShares Utilities time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Utilities ETF price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current IShares Utilities price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.28 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 1.54 |
iShares Utilities ETF lagged returns against current returns
Autocorrelation, which is IShares Utilities 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 Utilities' etf expected returns. We can calculate the autocorrelation of IShares Utilities returns to help us make a trade decision. For example, suppose you find that IShares Utilities 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 Utilities 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 Utilities etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Utilities etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Utilities etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Utilities Lagged Returns
When evaluating IShares Utilities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Utilities etf have on its future price. IShares Utilities 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 Utilities autocorrelation shows the relationship between IShares Utilities etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Utilities ETF.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out IShares Utilities Correlation, IShares Utilities Volatility and IShares Utilities Alpha and Beta module to complement your research on IShares Utilities. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
IShares Utilities 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.