Ireit Marketvector Etf Market Value
| IRET Etf | USD 20.06 0.30 1.52% |
| Symbol | IREIT |
The market value of iREIT MarketVector is measured differently than its book value, which is the value of IREIT that is recorded on the company's balance sheet. Investors also form their own opinion of IREIT MarketVector's value that differs from its market value or its book value, called intrinsic value, which is IREIT MarketVector'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 IREIT MarketVector's market value can be influenced by many factors that don't directly affect IREIT MarketVector'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 IREIT MarketVector's value and its price as these two are different measures arrived at by different means. Investors typically determine if IREIT MarketVector is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IREIT MarketVector'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.
IREIT MarketVector '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 IREIT MarketVector'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 IREIT MarketVector.
| 12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in IREIT MarketVector on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding iREIT MarketVector or generate 0.0% return on investment in IREIT MarketVector over 30 days. IREIT MarketVector is related to or competes with Vert Global, First Trust, VanEck Mortgage, Vanguard Global, ETRACS Monthly, Neuberger Berman, and Fundamental Income. IRET is a real estate company focused on the ownership, management, acquisition, redevelopment, and development of apart... More
IREIT MarketVector 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 IREIT MarketVector'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 iREIT MarketVector upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 5.54 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 1.24 |
IREIT MarketVector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IREIT MarketVector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IREIT MarketVector's standard deviation. In reality, there are many statistical measures that can use IREIT MarketVector historical prices to predict the future IREIT MarketVector's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.36) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IREIT MarketVector'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.
iREIT MarketVector Backtested Returns
iREIT MarketVector holds Efficiency (Sharpe) Ratio of -0.13, which attests that the entity had a -0.13% return per unit of return volatility over the last 3 months. iREIT MarketVector exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IREIT MarketVector's standard deviation of 1.02, and Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.39, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IREIT MarketVector's returns are expected to increase less than the market. However, during the bear market, the loss of holding IREIT MarketVector is expected to be smaller as well.
Auto-correlation | -0.53 |
Good reverse predictability
iREIT MarketVector has good reverse predictability. Overlapping area represents the amount of predictability between IREIT MarketVector time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of iREIT MarketVector price movement. The serial correlation of -0.53 indicates that about 53.0% of current IREIT MarketVector price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
iREIT MarketVector lagged returns against current returns
Autocorrelation, which is IREIT MarketVector 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 IREIT MarketVector's etf expected returns. We can calculate the autocorrelation of IREIT MarketVector returns to help us make a trade decision. For example, suppose you find that IREIT MarketVector 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 |
IREIT MarketVector 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 IREIT MarketVector etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IREIT MarketVector etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IREIT MarketVector etf over time.
Current vs Lagged Prices |
| Timeline |
IREIT MarketVector Lagged Returns
When evaluating IREIT MarketVector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IREIT MarketVector etf have on its future price. IREIT MarketVector 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, IREIT MarketVector autocorrelation shows the relationship between IREIT MarketVector etf current value and its past values and can show if there is a momentum factor associated with investing in iREIT MarketVector.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out IREIT MarketVector Correlation, IREIT MarketVector Volatility and IREIT MarketVector Alpha and Beta module to complement your research on IREIT MarketVector. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
IREIT MarketVector 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.