Introduction

Welcome to the website for BAN430 Forecasting. We will use this website as a supplement to lectures. The website is an ongoing development, so not all subjects will have content yet. Below you will find a detailed (preliminary) lecture plan, link to the textbook and curriculum.

Lecture plan

Monday 10:15-12:00 Thursday 12:15-14:00
15.01.2024 18.01.2024
Introduction lecture Time series graphics
22.01.2024 25.01.2024
Time series decomposition Time series decomposition
29.01.2024 01.02.2024
Forecasters toolbox Forecasters toolbox
05.02.2024 08.02.2024
Regression models Regression models
12.02.2024 15.02.2024
Exponential smoothing Exponential smoothing
19.02.2024 22.02.2024
ARIMA ARIMA
26.02.2024 29.02.2024
No lecture: Selfstudy time series features (website) No lecture: Selfstudy judgmental forecasts (website)
04.03.024 07.03.2024
No lecture / selfstudy ARIMA
11.03.2024 14.03.2024
ARIMA + Dynamic regression models Walmart workshop
18.03.2024 21.03.2024
Practical issues Walmart solutions
25.03.2024 28.03.2024
Easter holiday Easter holiday
01.04.2024 04.04.2024
Easter holiday Volatility forecasting
08.04.2024 11.04.2024
Summary lecture / old exam No lecture: Study for exam
Study period prior to exam
22.04.2024
8 hour home exam

Literature

FPP3 Third edition

FPP Third edition

We will use the textbook Forecasting: Principles and Practice, 3rd edition, by Hyndman and Athanasopoulos, i.e. the online version which can be accessed at https://otexts.com/fpp3/.

Curriculum

Textbook Hyndman and Athanasopoulos(2021) chapters 1-10 and 13. Additional notes by lecturer on volatility forecasting. All the material on this website.