Improving the Forecasting function for a Credit Hire operator in the UK

N. Savio; K Bozos; K Nikolopoulos

doi:10.1504/IJBFMI.2009.028452

Improving the Forecasting function for a Credit Hire operator in the UK

N. Savio, K Bozos, K Nikolopoulos

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Abstract

This study aims to test on the predictability of Credit Hire services for the Automobile & Insurance Industry; a relatively sophisticated time-series forecasting procedure, which conducts a competition among exponential smoothing models, is utilised as to forecast demand for a leading UK Credit Hire Operator (CHO) and the generated forecasts are compared with the Naïve method, resulting that demand for CHO services is indeed extremely hard to forecast as the underlying variable is the number of road accidents – a true stochastic variable.

Original language	English
Pages (from-to)	134-138
Journal	International Journal of Business Forecasting and Marketing Intelligence
Volume	1
Issue number	2
DOIs	https://doi.org/10.1504/IJBFMI.2009.028452
Publication status	Published - Jun 2009

Keywords

Forecasting, Exponential Smoothing, Credit Hire Operators, Automobile & Insurance Industry, United Kingdom

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Cite this

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Improving the Forecasting function for a Credit Hire operator in the UK

Abstract

Keywords

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