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IB915-15 Forecasting for Decision Makers

Department
Warwick Business School
Level
Taught Postgraduate Level
Module leader
Anthony Garratt
Credit value
15
Module duration
2 weeks
Assessment
100% coursework
Study location
University of Warwick main campus, Coventry

Introductory description

The module aims to providing training on methods that aid decision making when managers face an uncertain future.

Module web page

Module aims

The module covers methods for short-term and long-term forecasting of product demand and macroeconomic variables. The module discusses how forecasting aids decision making.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Topics covered are:

1- Basic tools for forecasting, Decision Making when facing an uncertain future.

2 – Methods for short-term forecasting, including product demand forecasting. How and when to add judgement to statistical forec asts. Extrapoltive methods, forecastign using regression methods, ARIMA models.

3 - How to compute probabilistic forecasts. Economic forecasting. How to measure macroeconomic uncertainty using news-based indexes, predcitiability of financial variables.

4 – Methods for long-term forecasting. Probabilistic Forecasting. Climate forecasting.

Learning outcomes

By the end of the module, students should be able to:

  • Measure macroeconomic uncertainty and understand its impact on decision making.
  • Choose the forecasting method adequate to the problem at hand, including when to add judgment, use scenario analysis and/or use statistical methods.
  • Compute short-term forecasts for product demand and macroeconomic variables, and use scenario analysis to aid long-term forecasting.
  • Analyse time series data.

Indicative reading list

Ord, K., Fildes, R. and N. Kourentzes (2017), Principles of Business Forecasting 2nd Edition, Wessex Press. Inc.

Silver, Nate (2013) The signal and the noise: the art and science of prediction. Penguin.

Hydman, R and Athanasopoulos, F. (2013) Forecasting: principles and practice.

Williamson, S. D. (2014) Macroeconomics. 5th edition. Pearson. (two chapters only).

Bloom, N. (2014) Fluctuations in Uncertainty. Journal of Economic Perspectives. 28:153-176.

Wright, G. and Goodwin, P. (2009) Decision making and planning under low levels of predictability: enhancing the scenario method. International Journal of Forecasting. 25: 813-825.

Subject specific skills

Use probabilistic forecasts for decision making.

Transferable skills

Write effectively.

Study time

Type Required
Lectures 13 sessions of 1 hour (9%)
Seminars 10 sessions of 1 hour (7%)
Online learning (scheduled sessions) 4 sessions of 1 hour (3%)
Private study 49 hours (33%)
Assessment 74 hours (49%)
Total 150 hours

Private study description

Self study to include pre-reading

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group A4
Weighting Study time Eligible for self-certification
Assessment component
Individual Assignment 100% 74 hours Yes (extension)
Reassessment component is the same
Feedback on assessment

comments to group work report and individual assignment.

Courses

This module is Optional for:

  • Year 1 of TIBS-N120 Postgraduate International Business
  • Year 1 of TIBS-N1C3 Postgraduate Taught (Financial Management)
  • Year 1 of TIBS-N1C2 Postgraduate Taught Business (Accounting & Finance)
  • Year 1 of TIBS-N1B0 Postgraduate Taught Business (Marketing)

This module is Option list C for:

  • Year 1 of TIBS-N2N1 Postgraduate Taught Management