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Exchange rate prediction using hybrid neural networks and trading indicators · Study

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ArticleExchange rate prediction using hybrid neural networks and trading indicators

Ni He2009

Article2009

Exchange rate prediction using hybrid neural networks and trading indicators

Ni He · Hujun Yin

94 citations·0/0 files stored·Neurocomputing

No readable copy stored yet — this record is metadata only.

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

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 94 citations exist upstream.

References

1986Generalized autoregressive conditional heteroskedasticity 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation 1983Empirical exchange rate models of the seventies 1973A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices 1999Using genetic algorithms to find technical trading rules 2006The Copula-GARCH model of conditional dependencies: An international stock market application 2003Why is it so difficult to beat the random walk forecast of exchange rates?1996High-Frequency Data and Volatility in Foreign-Exchange Rates

Cited by

2018Soft computing hybrids for FOREX rate prediction: A comprehensive review 2016Heuristic based trading system on Forex data using technical indicator rules 2021Machine Learning Algorithm for Cryptocurrencies Price Prediction 2018Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction 2016Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models 2018Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System

Details

Year2009

Typearticle

Published2009-04-17

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations94

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.neucom.2008.09.023

openalex_workW2158960338

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