Real Estate Mutual Fund Forecast - Polynomial Regression

MNREXDelisted Fund  USD 13.01  0.00  0.00%   
The Polynomial Regression forecasted value of Real Estate Series on the next trading day is expected to be 12.80 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.83. Real Mutual Fund Forecast is based on your current time horizon.
  
Real Estate polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Real Estate Series as well as the accuracy indicators are determined from the period prices.

Real Estate Polynomial Regression Price Forecast For the 30th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Real Estate Series on the next trading day is expected to be 12.80 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.83.
Please note that although there have been many attempts to predict Real Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Real Estate's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Real Estate Mutual Fund Forecast Pattern

Backtest Real EstateReal Estate Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Real Estate mutual fund data series using in forecasting. Note that when a statistical model is used to represent Real Estate mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria113.5201
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0792
MAPEMean absolute percentage error0.0063
SAESum of the absolute errors4.8307
A single variable polynomial regression model attempts to put a curve through the Real Estate historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Real Estate

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Real Estate Series. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
12.4413.0113.58
Details
Intrinsic
Valuation
LowRealHigh
11.3611.9314.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.9813.0013.01
Details

Real Estate Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Real Estate mutual fund to make a market-neutral strategy. Peer analysis of Real Estate could also be used in its relative valuation, which is a method of valuing Real Estate by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Real Estate Market Strength Events

Market strength indicators help investors to evaluate how Real Estate mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Real Estate shares will generate the highest return on investment. By undertsting and applying Real Estate mutual fund market strength indicators, traders can identify Real Estate Series entry and exit signals to maximize returns.

Real Estate Risk Indicators

The analysis of Real Estate's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Real Estate's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting real mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in income.
You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

Other Consideration for investing in Real Mutual Fund

If you are still planning to invest in Real Estate Series check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Real Estate's history and understand the potential risks before investing.
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