Financial Econometrics Using Stata 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 comprehensive understanding of financial econometrics using Stata, a powerful statistical software widely used for econometric analysis in finance. The course focuses on equipping participants with the skills to analyze financial data, estimate econometric models, and interpret results relevant to finance and investment decision-making. Participants will explore key concepts such as time series analysis, volatility modeling, and asset pricing. Through hands-on exercises and real-world applications, this course will enable participants to apply financial econometric techniques to their research and professional work.

Course Duration:
5 Days

Target Audience:

  • Financial analysts
  • Economists
  • Data scientists
  • Researchers in finance
  • Graduate students in finance and economics

Personal Impact:

  • Acquire essential skills in using Stata for financial econometric analysis.
  • Enhance your ability to analyze financial data and interpret econometric results.
  • Gain confidence in applying advanced econometric techniques to financial research.

Organizational Impact:

  • Improve organizational capacity for data-driven financial decision-making.
  • Foster a culture of evidence-based analysis through effective use of financial econometrics.
  • Strengthen research capabilities in financial analysis within the organization.

Course Level:

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

  • Navigate the Stata interface and utilize its functionalities for econometric analysis.
  • Import, manage, and manipulate financial data in Stata.
  • Conduct time series analysis and estimate econometric models relevant to finance.
  • Analyze volatility and conduct risk assessment using econometric techniques.
  • Apply financial econometric methods to real-world financial datasets.

Course Outline:

Module 1: Introduction to Financial Econometrics and Stata

  • Overview of financial econometrics and its applications
  • Introduction to Stata: navigating the interface and basic commands
  • Importing and managing financial datasets
  • Practical Exercise: Setting up a Stata project and importing data

Module 2: Time Series Analysis in Finance

  • Fundamentals of time series data and its characteristics
  • Conducting unit root tests and determining stationarity
  • Estimating ARIMA models for financial time series
  • Practical Exercise: Analyzing a financial time series using ARIMA models

Module 3: Volatility Modeling

  • Understanding volatility and its importance in finance
  • Introduction to GARCH models for volatility estimation
  • Estimating and interpreting GARCH models in Stata
  • Case Study: Applying GARCH modeling to asset returns

Module 4: Asset Pricing Models

  • Overview of asset pricing theory and models (CAPM, Fama-French)
  • Estimating asset pricing models using regression techniques in Stata
  • Evaluating model performance and interpreting results
  • Practical Exercise: Estimating an asset pricing model with real financial data

Module 5: Advanced Topics in Financial Econometrics

  • Panel data analysis in finance: techniques and applications
  • Risk assessment and portfolio optimization using econometric methods
  • Real-life Project: Conducting a comprehensive financial econometric analysis using Stata

Related Courses


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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