ShoTS Forecasting: Short Time Series Forecasting for Management Research

No Thumbnail Available
File version
Author(s)
Thomakos, D
Wood, G
Ioakimidis, M
Papagiannakis, G
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location
License
Abstract

We present a novel method for forecasting with limited information, that is for forecasting short time series. Our method is simple and intuitive; it relates to the most fundamental forecasting benchmark and is straightforward to implement. We present the technical details of the method and explain the nuances of how it works via two illustrative examples, with the use of employment-related data. We find that our new method outperforms standard forecasting methods and thus offers considerable utility in applied management research. The implications of our findings suggest that forecasting short time series, of which one can find many examples in business and management, is viable and can be of considerable practical help for both research and practice – even when the information available to analysts and decision-makers is limited.

Journal Title

British Journal of Management

Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note

This publication has been entered in Griffith Research Online as an advanced online version.

Access the data
Related item(s)
Subject

Time-series analysis

Persistent link to this record
Citation

Thomakos, D; Wood, G; Ioakimidis, M; Papagiannakis, G, ShoTS Forecasting: Short Time Series Forecasting for Management Research, British Journal of Management, 2022

Collections