Forecasting in Economics and Finance

2021/2022

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Банковский институт

Статус:

Курс по выбору

Когда читается:

1-й курс, 3 модуль

Преподаватель

Станкевич Иван Павлович

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

• 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

• 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

• the assessment of students' activity during classes
• the homework
• final exam

Interim Assessment

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