The Real Estate Etf Market Value
| XLRE Etf | USD 44.09 0.33 0.75% |
| Symbol | Real |
The market value of Real Estate is measured differently than its book value, which is the value of Real that is recorded on the company's balance sheet. Investors also form their own opinion of Real Estate's value that differs from its market value or its book value, called intrinsic value, which is Real Estate'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 Real Estate's market value can be influenced by many factors that don't directly affect Real Estate'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 Real Estate's value and its price as these two are different measures arrived at by different means. Investors typically determine if Real Estate is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Real Estate'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.
Real Estate '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 Real Estate'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 Real Estate.
| 12/01/2023 |
| 11/25/2024 |
If you would invest 0.00 in Real Estate on December 1, 2023 and sell it all today you would earn a total of 0.00 from holding The Real Estate or generate 0.0% return on investment in Real Estate over 360 days. Real Estate is related to or competes with Communication Services, Materials Select, Industrial Select, Consumer Discretionary, and Consumer Staples. Under normal market conditions, the fund generally invests substantially all, but at least 95, of its total assets in th... More
Real Estate 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 Real Estate'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 The Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9827 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.61 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.37 |
Real Estate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Real Estate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Real Estate's standard deviation. In reality, there are many statistical measures that can use Real Estate historical prices to predict the future Real Estate's volatility.| Risk Adjusted Performance | 0.0594 | |||
| Jensen Alpha | 0.0525 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 1.15 |
Real Estate Backtested Returns
At this point, Real Estate is very steady. Real Estate maintains Sharpe Ratio (i.e., Efficiency) of 0.0421, which implies the entity had a 0.0421% return per unit of risk over the last 3 months. We have found thirty technical indicators for Real Estate, which you can use to evaluate the volatility of the etf. Please check Real Estate's Semi Deviation of 0.8776, coefficient of variation of 1326.31, and Market Risk Adjusted Performance of 1.16 to confirm if the risk estimate we provide is consistent with the expected return of 0.0376%. The etf holds a Beta of 0.0512, which implies not very significant fluctuations relative to the market. As returns on the market increase, Real Estate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Real Estate is expected to be smaller as well.
Auto-correlation | -0.3 |
Weak reverse predictability
The Real Estate has weak reverse predictability. Overlapping area represents the amount of predictability between Real Estate time series from 1st of December 2023 to 29th of May 2024 and 29th of May 2024 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 Real Estate price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 6.68 |
Real Estate lagged returns against current returns
Autocorrelation, which is Real Estate 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 Real Estate's etf expected returns. We can calculate the autocorrelation of Real Estate returns to help us make a trade decision. For example, suppose you find that Real Estate 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 |
Real Estate 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 Real Estate etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Real Estate etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Real Estate etf over time.
Current vs Lagged Prices |
| Timeline |
Real Estate Lagged Returns
When evaluating Real Estate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Real Estate etf have on its future price. Real Estate 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, Real Estate autocorrelation shows the relationship between Real Estate etf current value and its past values and can show if there is a momentum factor associated with investing in The Real Estate.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Real Estate is a strong investment it is important to analyze Real Estate'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 Real Estate's future performance. For an informed investment choice regarding Real Etf, refer to the following important reports:Check out Real Estate Correlation, Real Estate Volatility and Real Estate Alpha and Beta module to complement your research on Real Estate. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Real Estate 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.