EViews — Advanced Time Series Econometrics Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
| Course Title | EViews — Advanced Time Series Econometrics Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | TBA |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview:
This course offere at T4D is designed for professionals and researchers seeking to enhance their knowledge and skills in time series econometrics using the EViews software. This course offers in-depth coverage of advanced econometric techniques such as unit root tests, cointegration, vector autoregressive (VAR) models, and volatility modeling. Participants will learn how to effectively analyze, interpret, and forecast time series data using EViews, with a focus on real-world economic and financial applications. Through hands-on sessions and case studies, participants will gain the expertise needed to apply advanced time series models for accurate data analysis and forecasting.
Course Duration:
5 Days
Target Audience:
- Economists
- Financial analysts
- Researchers
- Data scientists
- professionals involved in economic and financial modeling, forecasting, and analysis.
Personal Impact:
- Master advanced econometric techniques for time series analysis.
- Gain hands-on experience using EViews for real-world data analysis.
- Enhance your ability to build robust models for economic and financial forecasting.
Organizational Impact:
- Improve decision-making through accurate time series analysis and forecasting.
- Enhanced capacity to analyze and predict market trends, economic cycles, and financial risks.
- Apply sophisticated econometric models to guide business strategies and policy decisions.
Course Objectives:
- Understand and apply advanced time series econometrics techniques using EViews.
- Conduct unit root tests, estimate VAR models, and analyze cointegration relationships.
- Model and forecast volatility using GARCH models and other advanced techniques.
- Analyze structural breaks and nonlinearities in time series data.
- Use EViews to produce accurate, actionable forecasts for economic and financial data.
Course Modules
Course Outline:
Module 1: Introduction to Time Series Econometrics Using EViews
- Overview of EViews and time series econometrics
- Stationarity and non-stationarity in time series
- Performing unit root tests (ADF, PP, KPSS)
- Practical Exercise: Stationarity testing using EViews
Module 2: ARIMA and Seasonal ARIMA Models
- Building ARIMA and SARIMA models for time series forecasting
- Model identification, estimation, and diagnostic checking
- Forecasting with ARIMA models
- Case Study: ARIMA modeling for economic data forecasting
Module 3: Cointegration and Error Correction Models
- Understanding cointegration and long-run relationships
- Estimating and interpreting Vector Error Correction Models (VECM)
- Testing for cointegration using Johansen’s method
- Practical Exercise: Building and interpreting VECM in EViews
Module 4: Vector Autoregressive (VAR) Models and Impulse Response Analysis
- Estimating VAR models for multivariate time series
- Granger causality and impulse response functions
- Variance decomposition analysis
- Case Study: VAR modeling in financial markets using EViews
Module 5: Volatility Modeling: GARCH and Extensions
- Modeling volatility with GARCH, EGARCH, and TGARCH models
- Forecasting volatility and measuring risk
- Practical Exercise: Volatility modeling with EViews
- Real-life Project: Building a complete time series model for your own economic or financial data
Course Administration
Methodology
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
