Real Estate Securities Fund Market Value
| PIREX Fund | USD 30.93 0.16 0.51% |
| 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.
| 06/02/2024 |
| 11/29/2024 |
If you would invest 0.00 in Real Estate on June 2, 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 180 days. Real Estate is related to or competes with Franklin Natural, Templeton Developing, Franklin Utilities, Thrivent High, Morningstar Unconstrained, High-yield Municipal, and Via Renewables. 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 | 0.813 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 3.38 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.17 |
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 | 0.0531 | |||
| Jensen Alpha | 0.0374 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.6637 |
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
At this stage we consider Real Mutual Fund to be very steady. Real Estate Securities maintains Sharpe Ratio (i.e., Efficiency) of 0.0544, which implies the entity had a 0.0544% 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 Risk Adjusted Performance of 0.0531, coefficient of variation of 1456.81, and Semi Deviation of 0.7637 to confirm if the risk estimate we provide is consistent with the expected return of 0.0441%. The fund holds a Beta of 0.0682, 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 | -0.43 |
Modest reverse predictability
Real Estate Securities has modest reverse predictability. Overlapping area represents the amount of predictability between Real Estate time series from 2nd of June 2024 to 31st of August 2024 and 31st of August 2024 to 29th of November 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 -0.43 indicates that just about 43.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
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 |
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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