Real Estate Securities Fund Market Value
| JIREX Fund | USD 10.53 0.09 0.85% |
| Symbol | Real |
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 mutual fund 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.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Real Estate on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Real Estate Securities or generate 0.0% return on investment in Real Estate over 30 days. Real Estate is related to or competes with HUMANA, Thrivent High, Via Renewables, T Rowe, and FT Cboe. The fund invests at least 80 percent of its net assets in equity securities of REITs and real estate companies 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 mutual fund 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 Real Estate Securities upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 6.23 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 1.65 |
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 | (0.05) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.07) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Real Estate'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.
Real Estate Securities Backtested Returns
Real Estate Securities maintains Sharpe Ratio (i.e., Efficiency) of -0.071, which implies the entity had a -0.071% return per unit of risk over the last 3 months. Real Estate Securities exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Real Estate's Variance of 1.27, coefficient of variation of (1,199), and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The fund holds a Beta of 1.44, which implies 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, Real Estate will likely underperform.
Auto-correlation | 0.14 |
Insignificant predictability
Real Estate Securities has insignificant predictability. Overlapping area represents the amount of predictability between Real Estate time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th of April 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 Securities price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Real Estate Securities lagged returns against current returns
Autocorrelation, which is Real Estate mutual fund'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 mutual fund 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 mutual fund 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Real Estate mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Real Estate mutual fund 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 mutual fund 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 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Real Estate Securities.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Real Estate Correlation, Real Estate Volatility and Real Estate Alpha and Beta module to complement your research on Real Estate. Note that the Real Estate Securities information on this page should be used as a complementary analysis to other Real Estate's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Real Estate technical mutual fund 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, fund market cycles, or different charting patterns.