# All Ords Index Forecast - Polynomial Regression

AO
AORD -- Australia Index

## 6,1164.500.07%

All Ords Index Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast All Ords historical stock prices and determine the direction of All Ords future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of All Ords historical fundamentals such as revenue growth or operating cash flow patterns. Check out fundamental analysis of All Ords to check your projections.

#### Search Index Forecast

All Ords polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for All Ords as well as the accuracy indicators are determined from the period prices.

## All Ords Polynomial Regression Price Forecast For the 7th of June

 Given 30 days horizon, the forecasted value of All Ords on the next trading day is expected to be  6,160  with a mean absolute deviation of  117.95 , mean absolute percentage error of  28,493 , and the sum of the absolute errors of  7,195 6,160

## All Ords Forecasted Value

Market Value
6,116
6th of June 2020
 6,157Downside 6,160Expected ValueTarget Odds 6,163Upside

## Model Predictive Factors

 AIC Akaike Information Criteria 128.3679 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 117.9516 MAPE Mean absolute percentage error 0.0224 SAE Sum of the absolute errors 7195.0467
A single variable polynomial regression model attempts to put a curve through the All Ords 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 All Ords

There are currently many different techniques concerning forecasting the market as a whole as well as predicting future values of individual securities such as All Ords. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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
 Low Estimated Value High 6,113 6,116 6,120
Intrinsic
Valuation
 Low Real Value High 5,725 5,728 6,728

## All Ords Technical and Predictive Analytics

 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

## Volatility Measures

### All Ords Risk Indicators

 Mean Deviation 2.27 Standard Deviation 3.15 Variance 9.89

## Current Sentiment - AORD

### All Ords Investor Sentiment

Most of Macroaxis investors are at this time bullish on All Ords. What is your sentiment towards investing in Australia companies? Are you bullish or bearish on All Ords?
Bullish
Bearish
98% Bullish
2% Bearish
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Check out fundamental analysis of All Ords to check your projections. Please also try Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.
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