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Forecasting exchange rate using deep belief networks and conjugate gradient method
3 references·16 citing·50 second hopsampled
Forecasting exchange rate using deep belief networks and conjugate gradient method (2015)Forecasting exchange rate using deep beli…Neural network forecasting of the British Pound/US Dollar exchange rate (1998)Neural network forecasting of…Forecasting exchange rates using feedforward and recurrent neural networks (1995)Forecasting exchange rates us…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…Financial applications of machine learning: A literature review (2023)Financial applications of mac…StockNet—GRU based stock index prediction (2022)StockNet—GRU based stock inde…Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators (2021)Forecasting directional movem…Deep learning-based exchange rate prediction during the COVID-19 pandemic (2021)Deep learning-based exchange …A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)A comprehensive survey on dee…The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning (2020)The role of text-extracted in…Portfolio Optimization-Based Stock Prediction Using Long-Short Term Memory Network in Quantitative Trading (2020)Portfolio Optimization-Based …Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Financial time series forecas…Deep belief network for gold price forecasting (2020)Deep belief network for gold …A new ensemble deep learning approach for exchange rates forecasting and trading (2020)A new ensemble deep learning …Portfolio formation with preselection using deep learning from long-term financial data (2019)Portfolio formation with pres…Forecasting of Forex Time Series Data Based on Deep Learning (2019)Forecasting of Forex Time Ser…Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting (2019)Can deep learning predict ris…A hybrid modelling method for time series forecasting based on a linear regression model and deep learning (2019)A hybrid modelling method for…Forecasting Crude Oil Prices: a Deep Learning based Model (2017)Forecasting Crude Oil Prices:…Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms (2017)Financial time series predict…On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills (1981)Long Swings in the Dollar: Are They in the Data and Do Markets Know It? 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(1971)SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS (2002)SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting (2023)Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks (2023)Data-driven stock forecasting models based on neural networks: A review (2024)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression (2023)Machine learning in business and finance: a literature review and research opportunities (2024)Predicting financial distress using multimodal data: An attentive and regularized deep learning method (2024)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 1995Forecasting exchange rates using feedforward and recurrent neural networks428 cited
  • 1998Neural network forecasting of the British Pound/US Dollar exchange rate287 cited

Cited by

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  • 2023Financial applications of machine learning: A literature review230 cited
  • 2019Portfolio formation with preselection using deep learning from long-term financial data219 cited
  • 2021Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators196 cited
  • 2020Portfolio Optimization-Based Stock Prediction Using Long-Short Term Memory Network in Quantitative Trading191 cited
  • 2021Deep learning-based exchange rate prediction during the COVID-19 pandemic134 cited
  • 2022StockNet—GRU based stock index prediction133 cited
  • 2017Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms131 cited
  • 2017Forecasting Crude Oil Prices: a Deep Learning based Model127 cited
  • 2020The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning123 cited

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2019
Forecasting of Forex Time Series Data Based on Deep Learning
122 cited
  • 2019Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting120 cited
  • 2019A hybrid modelling method for time series forecasting based on a linear regression model and deep learning115 cited
  • 2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019112 cited
  • 2020A new ensemble deep learning approach for exchange rates forecasting and trading102 cited
  • 2020Deep belief network for gold price forecasting84 cited