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Neural network forecasts of Canadian stock returns using accounting ratios · Study

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ArticleNeural network forecasts of Canadian stock returns using accounting ratios

Dennis O. Olson2003

Article2003

Neural network forecasts of Canadian stock returns using accounting ratios

Dennis O. Olson · Charles E. Mossman

182 citations·0/0 files stored·International Journal of Forecasting

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Forecasting Techniques and Applications

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References

1989Financial statement analysis and the prediction of stock returns 1998How effective are neural networks at forecasting and prediction? A review and evaluation 1994Artificial neural network models for forecasting and decision making 1995Forecasting exchange rates using feedforward and recurrent neural networks 2000Forecasting stock indices: a comparison of classification and level estimation models 1994Stock performance modeling using neural networks: A comparative study with regression models 1992The prediction of stock returns using financial statement information 2001Neural network forecasting of Canadian GDP growth

Cited by

2010Predicting stock returns by classifier ensembles 2015Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks 2010Stock market value prediction using neural networks 2016Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations 2018Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer

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Details

Year2003

Typearticle

Published2003-01-17

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations182

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/s0169-2070(02)00058-4

openalex_workW2023959308

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2014Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models

2019Demand forecasting in retail operations for fashionable products: methods, practices, and real case study

2018Deep Learning for Forecasting Stock Returns in the Cross-Section