Real Estate Securities Fund Market Value

PRRAX Fund  USD 30.91  0.16  0.51%   
Real Estate's market value is the price at which a share of Real Estate trades on a public exchange. It measures the collective expectations of Real Estate Securities investors about its performance. Real Estate is trading at 30.91 as of the 2nd of December 2024; that is 0.51% down since the beginning of the trading day. The fund's open price was 31.07.
With this module, you can estimate the performance of a buy and hold strategy of Real Estate Securities and determine expected loss or profit from investing in Real Estate over a given investment horizon. Check out Real Estate Correlation, Real Estate Volatility and Real Estate Alpha and Beta module to complement your research on Real Estate.
Symbol

Please note, there is a significant difference between Real Estate's value and its price as these two are different measures arrived at by different means. Investors typically determine if Real Estate is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Real Estate's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
11/02/2024
No Change 0.00  0.0 
In 30 days
12/02/2024
0.00
If you would invest  0.00  in Real Estate on November 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 30 days. Real Estate is related to or competes with Midcap Fund, Diversified International, International Emerging, Largecap, and Smallcap Fund. 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.

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.
Hype
Prediction
LowEstimatedHigh
30.1030.9131.72
Details
Intrinsic
Valuation
LowRealHigh
29.3830.1931.00
Details
Naive
Forecast
LowNextHigh
31.0931.9032.71
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.3530.2131.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Real Estate. Your research has to be compared to or analyzed against Real Estate's peers to derive any actionable benefits. When done correctly, Real Estate's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Real Estate Securities.

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 0.0431, which implies the entity had a 0.0431% 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 Semi Deviation of 0.7839, risk adjusted performance of 0.0335, and Coefficient Of Variation of 2319.08 to confirm if the risk estimate we provide is consistent with the expected return of 0.0349%. The fund holds a Beta of 0.0896, 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

    
  -0.11  

Insignificant reverse predictability

Real Estate Securities has insignificant reverse predictability. Overlapping area represents the amount of predictability between Real Estate time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd 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 Real Estate Securities price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Real Estate price fluctuation can be explain by its past prices.
Correlation Coefficient-0.11
Spearman Rank Test-0.24
Residual Average0.0
Price Variance0.16

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  

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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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