Realestaterealreturn Strategy Fund Market Value
| PRRSX Fund | USD 28.57 0.20 0.70% |
| Symbol | Realestaterealreturn |
Realestaterealreturn '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 Realestaterealreturn'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 Realestaterealreturn.
| 06/10/2023 |
| 12/01/2024 |
If you would invest 0.00 in Realestaterealreturn on June 10, 2023 and sell it all today you would earn a total of 0.00 from holding Realestaterealreturn Strategy Fund or generate 0.0% return on investment in Realestaterealreturn over 540 days. Realestaterealreturn is related to or competes with Stocksplus Fund, Commodityrealreturn, Long-term, Realestaterealreturn, and Investment Grade. The investment seeks maximum real return, consistent with prudent investment management More
Realestaterealreturn 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 Realestaterealreturn'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 Realestaterealreturn Strategy Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9223 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 3.82 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.33 |
Realestaterealreturn Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Realestaterealreturn's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Realestaterealreturn's standard deviation. In reality, there are many statistical measures that can use Realestaterealreturn historical prices to predict the future Realestaterealreturn's volatility.| Risk Adjusted Performance | 0.0592 | |||
| Jensen Alpha | 0.0386 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.4552 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Realestaterealreturn'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.
Realestaterealreturn Backtested Returns
At this stage we consider Realestaterealreturn Mutual Fund to be very steady. Realestaterealreturn maintains Sharpe Ratio (i.e., Efficiency) of 0.0763, which implies the entity had a 0.0763% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Realestaterealreturn, which you can use to evaluate the volatility of the fund. Please check Realestaterealreturn's Risk Adjusted Performance of 0.0592, coefficient of variation of 1310.85, and Semi Deviation of 0.8347 to confirm if the risk estimate we provide is consistent with the expected return of 0.0637%. The fund holds a Beta of 0.12, which implies not very significant fluctuations relative to the market. As returns on the market increase, Realestaterealreturn's returns are expected to increase less than the market. However, during the bear market, the loss of holding Realestaterealreturn is expected to be smaller as well.
Auto-correlation | 0.46 |
Average predictability
Realestaterealreturn Strategy Fund has average predictability. Overlapping area represents the amount of predictability between Realestaterealreturn time series from 10th of June 2023 to 6th of March 2024 and 6th of March 2024 to 1st of December 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 Realestaterealreturn price movement. The serial correlation of 0.46 indicates that about 46.0% of current Realestaterealreturn price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 3.37 |
Realestaterealreturn lagged returns against current returns
Autocorrelation, which is Realestaterealreturn 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 Realestaterealreturn's mutual fund expected returns. We can calculate the autocorrelation of Realestaterealreturn returns to help us make a trade decision. For example, suppose you find that Realestaterealreturn 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 |
Realestaterealreturn 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 Realestaterealreturn mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Realestaterealreturn mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Realestaterealreturn mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Realestaterealreturn Lagged Returns
When evaluating Realestaterealreturn's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Realestaterealreturn mutual fund have on its future price. Realestaterealreturn 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, Realestaterealreturn autocorrelation shows the relationship between Realestaterealreturn mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Realestaterealreturn Strategy Fund.
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.Other Information on Investing in Realestaterealreturn Mutual Fund
Realestaterealreturn financial ratios help investors to determine whether Realestaterealreturn 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 Realestaterealreturn with respect to the benefits of owning Realestaterealreturn security.
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