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Gold Price Forecasting Using LSTM, Bi-LSTM and GRU
16 references·0 citing·52 second hop
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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2020A CNN–LSTM model for gold price time-series forecasting869 cited
  • 2013Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold556 cited
  • 2010An overview of global gold market and gold price forecasting372 cited
  • 2019Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model337 cited
  • 2018Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions304 cited
  • 2004GOLD AS AN INFLATION HEDGE?283 cited
  • 2020A Gated Recurrent Unit Approach to Bitcoin Price Prediction230 cited
  • 2012Gold as an inflation hedge in a time-varying coefficient framework213 cited
  • 2021Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators196 cited
  • 2012Dynamic transmission effects between the interest rate, the US dollar, and gold and crude oil prices194 cited
  • 2019Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm189 cited
  • 2013The Golden Dilemma159 cited
  • 2015The Interactions among Gold, Oil, and Stock Market: Evidence from S&P500

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122 cited
  • 2008Forecasting gold price changes: Rolling and recursive neural network models105 cited
  • 2019Combining wavelet decomposition with machine learning to forecast gold returns103 cited
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