The Real Estate Fund Market Value
| DPRDX Fund | USD 15.27 0.08 0.53% |
| 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.
| 12/02/2025 |
| 03/02/2026 |
If you would invest 0.00 in Real Estate on December 2, 2025 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 90 days. Real Estate is related to or competes with Optimum Small, Optimum Small, Optimum Fixed, Optimum International, Optimum Large, Optimum Large, and Optimum Small-mid. Under normal market conditions, the fund will invest at least 80 percent of its net assets, plus the amount of any borro... 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 The Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5608 | |||
| Information Ratio | 0.2167 | |||
| Maximum Drawdown | 2.35 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.9402 |
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 | 0.3009 | |||
| Jensen Alpha | 0.1636 | |||
| Total Risk Alpha | 0.1349 | |||
| Sortino Ratio | 0.189 | |||
| Treynor Ratio | 0.6656 |
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 March 2, 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 | 0.3009 | |||
| Market Risk Adjusted Performance | 0.6756 | |||
| Mean Deviation | 0.3677 | |||
| Downside Deviation | 0.5608 | |||
| Coefficient Of Variation | 249.66 | |||
| Standard Deviation | 0.4891 | |||
| Variance | 0.2392 | |||
| Information Ratio | 0.2167 | |||
| Jensen Alpha | 0.1636 | |||
| Total Risk Alpha | 0.1349 | |||
| Sortino Ratio | 0.189 | |||
| Treynor Ratio | 0.6656 | |||
| Maximum Drawdown | 2.35 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.9402 | |||
| Downside Variance | 0.3145 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.44) | |||
| Skewness | (0.41) | |||
| Kurtosis | 0.8724 |
Real Estate Backtested Returns
At this stage we consider Real Mutual Fund to be very steady. Real Estate maintains Sharpe Ratio (i.e., Efficiency) of 0.38, which implies the entity had a 0.38 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Real Estate, which you can use to evaluate the volatility of the fund. Please check Real Estate's Downside Deviation of 0.5608, standard deviation of 0.4891, and Market Risk Adjusted Performance of 0.6756 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The fund holds a Beta of 0.28, 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 | 0.90 |
Excellent predictability
The Real Estate has excellent predictability. Overlapping area represents the amount of predictability between Real Estate time series from 2nd of December 2025 to 16th of January 2026 and 16th of January 2026 to 2nd of March 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 price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
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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