Real Estate Securities Fund Market Value
| PREPX Fund | USD 28.95 0.06 0.21% |
| 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.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Real Estate on November 30, 2025 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 90 days. Real Estate is related to or competes with Strategic Asset, Strategic Asset, Strategic Asset, Strategic Asset, International Equity, Strategic Asset, and International Small. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus any borrowings for investment p... 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.
| Downside Deviation | 0.8704 | |||
| Information Ratio | 0.038 | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.27 |
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 | 0.1218 | |||
| Jensen Alpha | 0.0907 | |||
| Total Risk Alpha | 0.0308 | |||
| Sortino Ratio | 0.0323 | |||
| Treynor Ratio | 0.4979 |
Real Estate February 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1218 | |||
| Market Risk Adjusted Performance | 0.5079 | |||
| Mean Deviation | 0.5478 | |||
| Semi Deviation | 0.6736 | |||
| Downside Deviation | 0.8704 | |||
| Coefficient Of Variation | 626.73 | |||
| Standard Deviation | 0.7395 | |||
| Variance | 0.5468 | |||
| Information Ratio | 0.038 | |||
| Jensen Alpha | 0.0907 | |||
| Total Risk Alpha | 0.0308 | |||
| Sortino Ratio | 0.0323 | |||
| Treynor Ratio | 0.4979 | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.27 | |||
| Downside Variance | 0.7575 | |||
| Semi Variance | 0.4537 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.54) | |||
| Kurtosis | 0.5399 |
Real Estate Securities Backtested Returns
At this stage we consider Real Mutual Fund to be very steady. Real Estate Securities maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the entity had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Real Estate Securities, which you can use to evaluate the volatility of the fund. Please check Real Estate's Coefficient Of Variation of 626.73, risk adjusted performance of 0.1218, and Semi Deviation of 0.6736 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The fund holds a Beta of 0.22, 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 | 0.26 |
Poor predictability
Real Estate Securities has poor predictability. Overlapping area represents the amount of predictability between Real Estate time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th of February 2026. 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 0.26 indicates that nearly 26.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.68 |
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.Other Information on Investing in Real Mutual Fund
Real Estate financial ratios help investors to determine whether Real Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Real with respect to the benefits of owning Real Estate security.
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