Ishares Real Estate Etf Market Value
| IYR Etf | USD 100.36 0.74 0.74% |
| Symbol | IShares |
The market value of iShares Real Estate 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 Real's value that differs from its market value or its book value, called intrinsic value, which is IShares Real'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 Real's market value can be influenced by many factors that don't directly affect IShares Real'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 Real's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Real is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Real'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 Real '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 Real'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 Real.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in IShares Real on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding iShares Real Estate or generate 0.0% return on investment in IShares Real over 720 days. IShares Real is related to or competes with IShares Cohen, IShares Basic, SPDR Dow, IShares Telecommunicatio, and IShares Financials. The fund seeks to track the investment results of the Dow Jones U.S More
IShares Real 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 Real'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 Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9553 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.67 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.36 |
IShares Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Real's standard deviation. In reality, there are many statistical measures that can use IShares Real historical prices to predict the future IShares Real's volatility.| Risk Adjusted Performance | 0.0568 | |||
| Jensen Alpha | 0.0411 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.4727 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Real'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 Real Estate Backtested Returns
Currently, iShares Real Estate is very steady. iShares Real Estate holds Efficiency (Sharpe) Ratio of 0.037, which attests that the entity had a 0.037% return per unit of risk over the last 3 months. We have found thirty technical indicators for iShares Real Estate, which you can use to evaluate the volatility of the entity. Please check out IShares Real's Risk Adjusted Performance of 0.0568, downside deviation of 0.9553, and Market Risk Adjusted Performance of 0.4827 to validate if the risk estimate we provide is consistent with the expected return of 0.0326%. The etf retains a Market Volatility (i.e., Beta) of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares Real's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Real is expected to be smaller as well.
Auto-correlation | -0.5 |
Modest reverse predictability
iShares Real Estate has modest reverse predictability. Overlapping area represents the amount of predictability between IShares Real time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 Real Estate price movement. The serial correlation of -0.5 indicates that about 50.0% of current IShares Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 40.16 |
iShares Real Estate lagged returns against current returns
Autocorrelation, which is IShares Real 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 Real's etf expected returns. We can calculate the autocorrelation of IShares Real returns to help us make a trade decision. For example, suppose you find that IShares Real 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 Real 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 Real etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Real etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Real etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Real Lagged Returns
When evaluating IShares Real's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Real etf have on its future price. IShares Real 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 Real autocorrelation shows the relationship between IShares Real etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Real Estate.
Regressed Prices |
| Timeline |
Pair Trading with IShares Real
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 Real 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 Real 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 Real 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 Real 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 Real - 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 Real Estate to buy it.
The correlation of IShares Real 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 Real moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares Real Estate 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 Real 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 Real Correlation, IShares Real Volatility and IShares Real Alpha and Beta module to complement your research on IShares Real. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
IShares Real 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.