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Regular version of the site
Master 2021/2022

Forecasting in Economics and Finance

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type: Elective course (Financial Analyst)
Area of studies: Finance and Credit
Delivered by: HSE Banking Institute
When: 1 year, 3 module
Mode of studies: offline
Open to: students of one campus
Instructors: Ivan Stankevich
Master’s programme: Financial Analyst
Language: English
ECTS credits: 3
Contact hours: 28

Course Syllabus

Abstract

The course is an introduction to main forecasting techniques used in economics and finance. It covers topics ranging from data collection and preparation to econometrics, general equilibrium and machine learning models used in forecasting. This course is mostly practical, not theoretical, so a significant amount of time will be devoted to application of the models discussed to real data
Learning Objectives

Learning Objectives

  • The main aim of the course is to provide the students with understanding of how the forecasting is usually conducted. It includes both the ability to use and evaluate external forecasts and the ability to make forecasts themselves.
Expected Learning Outcomes

Expected Learning Outcomes

  • Students should be able to find the data they need, choose the model suitable to a certain problem, evaluate the forecasting performance of the model and interpret the results obtained. Apart from that, application of forecasting to decision-making process will be discussed.
Assessment Elements

Assessment Elements

  • non-blocking the assessment of students' activity during classes
  • non-blocking the homework
  • non-blocking final exam
Interim Assessment

Interim Assessment

  • 2021/2022 3rd module
    0.5 * final exam + 0.25 * the assessment of students' activity during classes + 0.25 * the homework

Authors

  • STANKEVICH IVAN PAVLOVICH