Simon Property Preferred Stock Forecast - Simple Regression

SPG-PJ Preferred Stock  USD 61.15  0.25  0.41%   
The Simple Regression forecasted value of Simon Property Group on the next trading day is expected to be 62.71 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 40.42. Simon Preferred Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Simon Property price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simon Property Simple Regression Price Forecast For the 30th of November

Given 90 days horizon, the Simple Regression forecasted value of Simon Property Group on the next trading day is expected to be 62.71 with a mean absolute deviation of 0.66, mean absolute percentage error of 0.61, and the sum of the absolute errors of 40.42.
Please note that although there have been many attempts to predict Simon Preferred Stock 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 Simon Property's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Simon Property Preferred Stock Forecast Pattern

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Simon Property Forecasted Value

In the context of forecasting Simon Property's Preferred Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Simon Property's downside and upside margins for the forecasting period are 61.91 and 63.51, respectively. We have considered Simon Property's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
61.15
62.71
Expected Value
63.51
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Simon Property preferred stock data series using in forecasting. Note that when a statistical model is used to represent Simon Property preferred stock, 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 Criteria117.6182
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6627
MAPEMean absolute percentage error0.0106
SAESum of the absolute errors40.4229
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Simon Property Group historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Simon Property

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Simon Property Group. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred stock 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.
Hype
Prediction
LowEstimatedHigh
60.3561.1561.95
Details
Intrinsic
Valuation
LowRealHigh
61.0661.8662.66
Details

Other Forecasting Options for Simon Property

For every potential investor in Simon, whether a beginner or expert, Simon Property's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Simon Preferred Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Simon. Basic forecasting techniques help filter out the noise by identifying Simon Property's price trends.

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 Risk & Return  Correlation

Simon Property Group Technical and Predictive Analytics

The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Simon Property's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Simon Property's current price.

Simon Property Market Strength Events

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

Simon Property Risk Indicators

The analysis of Simon Property'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 Simon Property's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting simon preferred stock 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.

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Other Information on Investing in Simon Preferred Stock

Simon Property financial ratios help investors to determine whether Simon Preferred Stock 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 Simon with respect to the benefits of owning Simon Property security.