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Agilent Technologies Stock Forecast - Simple Regression

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A -- USA Stock  

Fiscal Quarter End: April 30, 2020  

Investors can use this prediction interface to forecast Agilent Technologies historic stock prices and determine the direction of Agilent Technologies 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 Agilent Technologies 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 Agilent Technologies systematic risks associated with finding meaningful patterns of Agilent Technologies fundamentals over time. Please continue to Historical Fundamental Analysis of Agilent Technologies to cross-verify your projections.
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Simple Regression model is a single variable regression model that attempts to put a straight line through Agilent Technologies 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.
Given 30 days horizon, the value of Agilent Technologies on the next trading day is expected to be 87.054151

Agilent Technologies Stock Forecast Pattern

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Agilent Technologies Forecasted Value

Market Value
85.35
February 22, 2020
87.05
Expected Value
90.13
Upside

Model Predictive Factors

AICAkaike Information Criteria121.5247
BiasArithmetic mean of the errors None
MADMean absolute deviation1.8191
MAPEMean absolute percentage error0.0213
SAESum of the absolute errors112.7812
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 Agilent Technologies historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Volatility Measures

Agilent Technologies Risk Indicators

Current Sentiment - A

Agilent Technologies Investor Sentiment

Most of Macroaxis users are presently bullish on Agilent Technologies. What is your sentiment towards investing in Agilent Technologies? Are you bullish or bearish?
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98% Bullish
2% Bearish
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Agilent Technologies Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Agilent Technologies and Global Cord Blood. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
Run Pair Correlation  
Please continue to Historical Fundamental Analysis of Agilent Technologies to cross-verify your projections. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.