Acadia Realty Stock Forecast - Polynomial Regression

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AKR -- USA Stock  

Earnings Report: April 22, 2020  

Investors can use this prediction interface to forecast Acadia Realty historic stock prices and determine the direction of Acadia Realty Trust future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Acadia Realty historical fundamentals such as revenue growth or operating cash flow patterns. Although naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Acadia Realty Trust systematic risks associated with finding meaningful patterns of Acadia Realty fundamentals over time. Please continue to Historical Fundamental Analysis of Acadia Realty to cross-verify your projections.
Acadia Realty polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Acadia Realty Trust as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Acadia Realty Trust on the next trading day is expected to be 25.203022

Acadia Realty Stock Forecast Pattern

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Acadia Realty Forecasted Value

Market Value
February 16, 2020
Expected Value

Model Predictive Factors

AICAkaike Information Criteria115.6571
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2317
MAPEMean absolute percentage error0.009
SAESum of the absolute errors14.1314
A single variable polynomial regression model attempts to put a curve through the Acadia Realty 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

Volatility Measures

Acadia Realty Risk Indicators