Real Estate Debt Fund Market Value
| PDIFX Fund | USD 14.35 0.02 0.14% |
| 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.
| 12/24/2024 |
| 03/24/2025 |
If you would invest 0.00 in Real Estate on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding Real Estate Debt or generate 0.0% return on investment in Real Estate over 90 days. Real Estate is related to or competes with Ab Global, Vanguard Inflation-protec, and T Rowe. It has no limitation on the percentage of assets that are invested in any one country or denominated in any one currency... 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 Debt upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.1671 | |||
| Maximum Drawdown | 5.73 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.39 |
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 | 0.126 | |||
| Jensen Alpha | 0.1207 | |||
| Total Risk Alpha | 0.1597 | |||
| Sortino Ratio | 0.152 | |||
| Treynor Ratio | (5.79) |
Real Estate Debt Backtested Returns
At this stage we consider Real Mutual Fund to be very steady. Real Estate Debt maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Real Estate Debt, which you can use to evaluate the volatility of the fund. Please check Real Estate's Coefficient Of Variation of 718.94, semi deviation of 0.8393, and Risk Adjusted Performance of 0.126 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The fund holds a Beta of -0.021, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Real Estate are expected to decrease at a much lower rate. During the bear market, Real Estate is likely to outperform the market.
Auto-correlation | 0.61 |
Good predictability
Real Estate Debt has good predictability. Overlapping area represents the amount of predictability between Real Estate time series from 24th of December 2024 to 7th of February 2025 and 7th of February 2025 to 24th of March 2025. 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 Debt price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Real Estate Debt 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 Debt.
Regressed Prices |
| Timeline |
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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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