Hang Seng Polynomial Regression

HSI -- Hong Kong Index  

 27,950  40.52  0.15%

Investors can use this prediction interface to forecast Hang Seng historic prices and determine the direction of Hang Seng 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 Hang Seng historical fundamentals such as revenue growth or operating cash flow patterns. See also fundamental analysis of Hang Seng to check your projections.
Horizon     30 Days    Login   to change
Hang Seng polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Hang Seng as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Hang Seng on the next trading day is expected to be 27745.236816

Hang Seng Prediction Pattern

Hang Seng Forecasted Value

Market Value
January 26, 2020
Expected Value

Model Predictive Factors

AICAkaike Information Criteria129.7615
BiasArithmetic mean of the errors None
MADMean absolute deviation275.1357
MAPEMean absolute percentage error0.0101
SAESum of the absolute errors16783.2765
A single variable polynomial regression model attempts to put a curve through the Hang Seng 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

Hang Seng Risk Indicators