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ArticleFinancial time series prediction using polynomial pipelined neural networks

Abir Jaafar Hussain2007

Article2007

Financial time series prediction using polynomial pipelined neural networks

Abir Jaafar Hussain · Paulo J.G. Lisboa · Wael El‐Deredy

56 citations·0/0 files stored·Expert Systems with Applications

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

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References

1998Forecasting with artificial neural networks:1989Business conditions and expected returns on stocks and bonds 1988Dividend yields and expected stock returns 1977Asset returns and inflation 1978Some anomalous evidence regarding market efficiency 2003Support vector machine with adaptive parameters in financial time series forecasting 1964Smoothing, Forecasting and Prediction of Discrete Time Series.1989Modeling Heteroscedasticity in Daily Foreign-Exchange Rates

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2022Stock Trading Strategies Based on Deep Reinforcement Learning 2020A novel hybrid model based on recurrent neural networks for stock market timing 2019A novel error-output recurrent neural network model for time series forecasting 2010Knowledge Management and Acquisition for Smart Systems and Services

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Year2007

Typearticle

Published2007-08-14

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations56

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2007.08.038

openalex_workW2094560950

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