Business Forecasting with Artificial Neural Networks

G. Peter Zhang

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Forecasting Techniques and Applications Neural Networks and Applications Stock Market Forecasting Methods

Abstract

Artificial neural networks have emerged as an important quantitative modeling tool for business forecasting. This chapter provides an overview of forecasting with neural networks. We provide a brief description of neural networks, their advantages over traditional forecasting models, and their applications for business forecasting. In addition, we address several important modeling issues for forecasting applications.

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1977Time Series Analysis: Forecasting and Control 1998Forecasting with artificial neural networks:1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 1996Designing a neural network for forecasting financial and economic time series 2000Time-Series Forecasting 2001Principles of forecasting : a handbook for researchers and practitioners 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis

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