Personal tools
You are here: Home Life Sciences and Biotechnology Forecasting

LESE408 - Forecasting, Fall 2009

Document Actions
  • RSS Feed
  • Send this
  • Print this
  • Content View
  • Bookmarks

This course is designed to provide univariate and multivariate time series models for forecasting in business and economics. Topics include ARMA, in-sample/out-of-sample forecasting techniques, model selection and forecast evaluation, VAR and causality, response function analysis and variance decomposition, unit roots and cointegration, state space models, GARCH and volatility forecasting, and non-linear models. Forecasting is one of the most rapidly growing research areas with wide applicability in economics. The increasing complexity of global financial markets is fueling the demand for professional experts who possess an understanding of forecasting, econometric tools to solve forecasting problems, and necessary computer skills to create relevant forecasts. Forecasting combines the essential tools in economics, statistics, and mathematics to meet these growing needs. For the empirical work, econometric computer software will be studied. The recommended statistical software is Eviews, and the teaching assistant (TA) will guide and assist you to this computer software.

Level

Graduate

Instructor

Professor Byeong Seon Seo, Ph.D.

Division of Food and Resource Economics, Korea University

E-mail. seomatteo@korea.ac.kr

Course Description

This course is designed to provide univariate and multivariate time series models for forecasting in business and economics. Topics include ARMA, in-sample/out-of-sample forecasting techniques, model selection and forecast evaluation, VAR and causality, response function analysis and variance decomposition, unit roots and cointegration, state space models, GARCH and volatility forecasting, and non-linear models.
Forecasting is one of the most rapidly growing research areas with wide applicability in economics. The increasing complexity of global financial markets is fueling the demand for professional experts who possess an understanding of forecasting, econometric tools to solve forecasting problems, and necessary computer skills to create relevant forecasts.
Forecasting combines the essential tools in economics, statistics, and mathematics to meet these growing needs.
For the empirical work, econometric computer software will be studied. The recommended statistical software is Eviews, and the teaching assistant (TA) will guide and assist you to this computer software.

Course Structure

75 minute long classes, twice weekly

Copyright 2009, by the Contributing Authors. Cite/attribute Resource. Seo, B. S., kuocw. (2009, December 30). Forecasting. Retrieved October 22, 2014, from Korea University OpenCourseWare Web site: http://ocw.korea.edu/ocw/college-of-life-sciences-and-biotechnology/forecasting. This work is licensed under a Creative Commons License Creative Commons License