EViews
Model time series data for economic forecasting.
EViews is user-friendly software for time series, cross-section, and panel data analysis. It supports data management, econometric modeling, forecasting, and publication-ready charts and tables with a powerful, flexible analysis engine.
Features
Powerful Analytic Engine
EViews offers a comprehensive suite of statistical and econometric tools, from descriptive statistics and principal components to advanced diagnostics.
forecasting & simulation
Perform static and dynamic forecasting, stochastic simulation, ARIMA modeling, and forecast evaluation with ease using EViews’ built-in forecasting tools.
advanced estimation methods
Access a wide range of estimators including OLS, GMM, VAR, VEC, ARMA, and state-space models for precise and flexible data estimation.
spacial & panel data analysis
Analyze complex data with enhanced support for spatial models, panel estimators, and dynamic panel data structures.
intuitive interface
EViews features an object-oriented design with context-sensitive menus that make navigation and analysis faster and more intuitive.
Use Cases
Explore insights that inspire impact — with EViews
Macroeconomic forecasting
Analyze and predict key economic indicators like GDP, inflation, and unemployment to guide planning and policy decisions confidently.
Risk and volatility modelling
Manage portfolio risk by modeling market volatility using GARCH/ARCH methods to strengthen hedging, stress tests, and reporting.
policy simulation
Run complex “what-if” scenarios to assess the systemic impact of interest rate changes, tax reforms, or government spending shocks.
sales and demand prediction
Specialized forecasting tools used to account for seasonality and cycles, helping corporations predict inventory needs and revenue.
Pairs Trading Analysis
Identify long-term equilibrium between assets using Cointegration and Granger Causality tests to execute statistical arbitrage strategies.
Panel Data Research
Handle complex multi-dimensional data to isolate specific variables in social and academic research while controlling for time and group effects.
Industries
Education
Used by universities worldwide, it empowers students to master econometrics without getting lost in coding complexity.
Financial Services
In the high-stakes world of finance, accuracy is paramount. Investment banks, hedge funds, and commercial institutions rely on EViews for rigorous risk management, portfolio optimization, and algorithmic trading strategies.
Government
Whether adjusting interest rates, forecasting tax revenues, or analyzing labor market trends, government economists use our software to model the impact of fiscal and monetary policies before they are implemented.
Research Institution
From analyzing poverty trends to modeling climate change economics, researchers rely on our advanced panel data and time-series capabilities to produce empirical evidence that shapes global dialogue.
Economic Planning
Strategic development agencies and planning commissions utilize EViews for long-term structural modeling. By forecasting demographic shifts, infrastructure needs, and sector-specific growth.
Explore More
EViews 13 New Econometrics and Statistics: Estimation
EViews 13 New Features
New Feature Overview
EViews Interface
Data Handling
Graphs, Tables, & Spools
Econometrics and Statistics: Estimation
Estimation of Coincident Index with Dynamic Factor Models
Stock and Watson (1989) introduced a dynamic factor model that uses a single unobserved factor to capture common movements in macroeconomic variables and measure overall
py2eviews: Python + EViews
The purpose of the py2eviews package is to make it easier for EViews and Python to talk to each other, so Python programmers can use
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