Ishares Russell 2000 Etf Market Value
IWO Etf | USD 298.79 4.40 1.49% |
Symbol | IShares |
The market value of iShares Russell 2000 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 Russell's value that differs from its market value or its book value, called intrinsic value, which is IShares Russell'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 Russell's market value can be influenced by many factors that don't directly affect IShares Russell'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 Russell's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Russell is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Russell'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 Russell '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 Russell'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 Russell.
10/21/2024 |
| 11/20/2024 |
If you would invest 0.00 in IShares Russell on October 21, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Russell 2000 or generate 0.0% return on investment in IShares Russell over 30 days. IShares Russell is related to or competes with Dimensional ETF, Vanguard Small, First Trust, Vanguard, Vanguard, Vanguard, and Invesco DWA. The fund generally invests at least 80 percent of its assets in the component securities of its underlying index and in ... More
IShares Russell 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 Russell'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 Russell 2000 upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.21 | |||
Information Ratio | 0.0347 | |||
Maximum Drawdown | 7.23 | |||
Value At Risk | (1.74) | |||
Potential Upside | 2.21 |
IShares Russell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Russell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Russell's standard deviation. In reality, there are many statistical measures that can use IShares Russell historical prices to predict the future IShares Russell's volatility.Risk Adjusted Performance | 0.0796 | |||
Jensen Alpha | 0.0029 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | 0.0389 | |||
Treynor Ratio | 0.0801 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Russell'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 Russell 2000 Backtested Returns
As of now, IShares Etf is very steady. iShares Russell 2000 holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Russell 2000, which you can use to evaluate the volatility of the entity. Please check out IShares Russell's Risk Adjusted Performance of 0.0796, downside deviation of 1.21, and Market Risk Adjusted Performance of 0.0901 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. The etf retains a Market Volatility (i.e., Beta) of 1.57, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, IShares Russell will likely underperform.
Auto-correlation | -0.13 |
Insignificant reverse predictability
iShares Russell 2000 has insignificant reverse predictability. Overlapping area represents the amount of predictability between IShares Russell time series from 21st of October 2024 to 5th of November 2024 and 5th of November 2024 to 20th of November 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 Russell 2000 price movement. The serial correlation of -0.13 indicates that less than 13.0% of current IShares Russell price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.13 | |
Spearman Rank Test | 0.08 | |
Residual Average | 0.0 | |
Price Variance | 47.06 |
iShares Russell 2000 lagged returns against current returns
Autocorrelation, which is IShares Russell 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 Russell's etf expected returns. We can calculate the autocorrelation of IShares Russell returns to help us make a trade decision. For example, suppose you find that IShares Russell 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 Russell 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 Russell etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Russell etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Russell etf over time.
Current vs Lagged Prices |
Timeline |
IShares Russell Lagged Returns
When evaluating IShares Russell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Russell etf have on its future price. IShares Russell 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 Russell autocorrelation shows the relationship between IShares Russell etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Russell 2000.
Regressed Prices |
Timeline |
Pair Trading with IShares Russell
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IShares Russell position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IShares Russell will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
Moving against IShares Etf
The ability to find closely correlated positions to IShares Russell could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares Russell when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IShares Russell - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling iShares Russell 2000 to buy it.
The correlation of IShares Russell is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IShares Russell moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares Russell 2000 moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IShares Russell can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out IShares Russell Correlation, IShares Russell Volatility and IShares Russell Alpha and Beta module to complement your research on IShares Russell. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
IShares Russell 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.