Applied Econometrics For Macro-Economics And Finance Training Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

May 2025

Date Duration Location Standard Fee Action
19 May - 23 May 5 days Half-day KES 55,000 | $ 595 Individual Group

June 2025

Date Duration Location Standard Fee Action
16 Jun - 20 Jun 5 days Half-day KES 55,000 | $ 595 Individual Group

July 2025

Date Duration Location Standard Fee Action
14 Jul - 18 Jul 5 days Half-day KES 55,000 | $ 595 Individual Group

August 2025

Date Duration Location Standard Fee Action
18 Aug - 22 Aug 5 days Half-day KES 55,000 | $ 595 Individual Group

September 2025

Date Duration Location Standard Fee Action
15 Sep - 19 Sep 5 days Half-day KES 55,000 | $ 595 Individual Group

October 2025

Date Duration Location Standard Fee Action
20 Oct - 24 Oct 5 days Half-day KES 55,000 | $ 595 Individual Group

November 2025

Date Duration Location Standard Fee Action
17 Nov - 21 Nov 5 days Half-day KES 55,000 | $ 595 Individual Group

December 2025

Date Duration Location Standard Fee Action
15 Dec - 19 Dec 5 days Half-day KES 55,000 | $ 595 Individual Group

Course Overview:
This course offered at IRES is designed to provide participants with a practical understanding of applied econometrics in the context of macroeconomics and finance. Participants will learn to apply econometric techniques to analyze economic and financial data, focusing on real-world applications. The course covers essential topics such as regression analysis, time series modeling, panel data analysis, and forecasting methods. With a strong emphasis on hands-on experience, participants will use statistical software to conduct empirical research, interpret results, and make data-driven decisions relevant to macroeconomic policy and financial management.

Course Duration:
5 Days

Target Audience:

  • Economists
  • Financial analysts
  • Policy analysts
  • Researchers
  • Data scientists
  • Professionals involved in economic forecasting and financial analysis

Personal Impact:

  • Develop expertise in applying econometric techniques to macroeconomic and financial data.
  • Gain practical skills in empirical research and data analysis.
  • Enhance your ability to interpret econometric results for informed decision-making.

Organizational Impact:

  • Improve the organization’s capacity for empirical economic analysis and forecasting.
  • Utilize applied econometrics to assess the impact of economic policies and financial strategies.
  • Strengthen analytical capabilities within the organization through robust econometric modeling.

Course Level:

Course Objectives:
By the end of this course, participants will be able to:

  • Understand the fundamental concepts of applied econometrics in macroeconomics and finance.
  • Conduct regression analysis and interpret results in the context of economic relationships.
  • Analyze time series and panel data for macroeconomic and financial applications.
  • Utilize forecasting methods to make informed predictions based on econometric models.
  • Apply statistical software to conduct empirical research and analyze economic and financial data.

Course Outline:

Module 1: Introduction to Econometrics for Macroeconomics and Finance

  • Overview of econometrics in macroeconomic and financial analysis
  • Key econometric concepts and tools
  • Introduction to econometric software (EViews, Stata)
  • Practical Exercise: Importing and preparing macroeconomic data for analysis

Module 2: Time Series Econometrics

  • Understanding time series data in macroeconomics and finance
  • Testing for stationarity: ADF and KPSS tests
  • Autoregressive models and moving averages (ARIMA and SARIMA models)
  • Case Study: Time series forecasting for macroeconomic variables

Module 3: Cointegration and Error Correction Models

  • Long-run relationships and cointegration theory
  • Estimating and interpreting vector error correction models (VECM)
  • Practical Exercise: Cointegration testing and modeling macroeconomic data

Module 4: Vector Autoregression (VAR) and Impulse Response Analysis

  • Building and estimating VAR models for multivariate time series
  • Impulse response functions and variance decomposition
  • Application of VAR models in macroeconomic forecasting
  • Case Study: Using VAR models to analyze macroeconomic shocks

Module 5: Volatility Modeling: ARCH and GARCH Models

  • Introduction to volatility in financial time series
  • Estimating ARCH and GARCH models for financial data
  • Practical Exercise: Volatility modeling and forecasting in financial markets

Module 6: Panel Data Econometrics for Macroeconomics and Finance

  • Introduction to panel data and its applications
  • Fixed effects vs. random effects models
  • Estimating dynamic panel models
  • Case Study: Analyzing macroeconomic indicators using panel data

Module 7: Forecasting Economic and Financial Variables

  • Techniques for macroeconomic and financial forecasting
  • Evaluating forecast accuracy and model validation
  • Practical Exercise: Developing forecasting models for macroeconomic data

Module 8: Structural Models for Policy Analysis

  • Structural econometric models for macroeconomic policy
  • Estimating and interpreting policy effects using econometric models
  • Application of econometric models to monetary and fiscal policy analysis
  • Case Study: Policy analysis using structural econometric models

Module 9: Risk Analysis and Financial Econometrics

  • Analyzing financial risk using econometric models
  • Estimating and forecasting financial returns and risks
  • Practical Exercise: Risk analysis using real-world financial data

Module 10: Real-World Applications and Project Work

  • Review of key concepts and methodologies covered
  • Hands-on project: Applying econometric techniques to macroeconomic and financial data
  • Presentation of project findings and feedback from instructors and peers
  • Real-life Project: Building an econometric model for macroeconomic or financial forecasting

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Course Administration Details:

Methodology

These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]


Course Registration

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Who else has taken this course?


# Job Title Organisation Country
1 Economic Analyst in Macroeconomic division Bank of Uganda Uganda
2 Economist Economist at the Central Bank of Somalia Somalia
3 Managing Director Self Nigeria
4 Managing Director Self Nigeria
5 University of Johannesburg South Africa
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