Using a neural network to forecast inflation-Reference-Cited by-同舟云学术

Using a neural network to forecast inflation

Published:1999-11-01 Issue:7 Volume:99 Page:296-301
ISSN:0263-5577
Container-title:Industrial Management & Data Systems
language:en
Short-container-title:

Author:

Aiken Milam

Abstract

Forecasting inflation is a major concern for economists and businessmen. Most researchers have relied upon statistical techniques with their stringent data assumptions and low accuracy rates to predict changes in inflation, but only a few have investigated how neural networks can improve forecasts. Here, we show the results of Consumer Price Index (CPI) forecasts from an artificial neural network using leading economic indicator data in the USA. Results show that the neural network predicts the level of the CPI with a high degree of accuracy.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems

Reference9 articles.

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3. Collins, E., Ghosh, S. and Scofield, C. (1988), “An application of a multiple neural‐network learning system to emulation of mortgage underwriting judgments”, Proceedings of the IEEE International Conference on Neural Networks, Vol. 2, pp. 459‐66.

4. Moore, G. (1986), A Revised Leading Index of Inflation, Center for International Business Cycle Research, Graduate School Business, Columbia University, February.

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