Applied Econometrics for Macroeconomics and Finance Training

8 months ago Posted By : User Ref No: WURUR201805 0
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  • TypeWorkshop
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  • Location Online Event
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  • Date 20-01-2025 - 24-01-2025
Applied Econometrics for Macroeconomics and Finance Training, Online Event
Workshop Title
Applied Econometrics for Macroeconomics and Finance Training
Event Type
Workshop
Workshop Date
20-01-2025 to 24-01-2025
Location
Online Event
Organization Name / Organize By
Indepth Research Institute
Organizing/Related Departments
Training Department
Organization Type
Organization
WorkshopCategory
Both (Technical & Non Technical)
WorkshopLevel
All (State/Province/Region, National & International)
Related Industries

Finance

Economics

Location
Online Event

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

Who Should Attend

  1. Economists
  2. Financial analysts
  3. Policy analysts
  4. Researchers
  5. Data scientists
  6. Professionals involved in economic forecasting and financial analysis

Personal Impact

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

Organizational Impact

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

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

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

Course Outline

Module 1: Introduction to Econometrics for Macroeconomics and Finance

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

Module 2: Time Series Econometrics

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

Module 3: Cointegration and Error Correction Models

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

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

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

Module 5: Volatility Modeling: ARCH and GARCH Models

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

Module 6: Panel Data Econometrics for Macroeconomics and Finance

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

Module 7: Forecasting Economic and Financial Variables

  1. Techniques for macroeconomic and financial forecasting
  2. Evaluating forecast accuracy and model validation
  3. Practical Exercise: Developing forecasting models for macroeconomic data

Module 8: Structural Models for Policy Analysis

  1. Structural econometric models for macroeconomic policy
  2. Estimating and interpreting policy effects using econometric models
  3. Application of econometric models to monetary and fiscal policy analysis
  4. Case Study: Policy analysis using structural econometric models

Module 9: Risk Analysis and Financial Econometrics

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

Module 10: Real-World Applications and Project Work

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

Related Courses

  1. Time Series Data Analysis and Modelling using Stata Training Course
  2. Panel Data Analysis using Stata Training Course
  3. Microeconometrics Training Course
  4. Macro-Econometric Modeling and Forecasting Using E-Views Training Course
  5. Public Sector Governance and Budgetary Reforms Training Course
  6. Performance Based Budgeting Training Course

Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

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 can be arranged upon request.

For reservations, kindly contact us on either.

Tailor-Made Program

Upon request, this training can also be customized to suit the needs of you or your institution.

You can have it delivered at our IRES Training Centre or at a convenient location.

For further inquiries, kindly contact us.

Registration Fees
Not Mention
Registration Ways
Email
Phone
Website
Address/Venue
IRES Training Centre  Tala Road, Off Kiambu Road Runda-Nairobi  Pin/Zip Code : 00100
Landmark
Karura Forest
Official Email ID
Contact
Indepth Research Institute Ltd

Tala Road, Off Kiambu Road Runda-Nairobi

[email protected]

   +254715077817

Tala Road, Off Kiambu Road Runda-Nairobi