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A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting
16 references·0 citing·54 second hopsampled
A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting (2023)A new LASSO-BiLSTM-based ensemble learnin…Adaptability of Financial Time Series Prediction Based on BiLSTM (2022)Adaptability of Financial Tim…NGCU: A New RNN Model for Time-Series Data Prediction (2021)NGCU: A New RNN Model for Tim…The Disease Outbreak Channel of Exchange Rate Return Predictability: Evidence from COVID-19 (2020)The Disease Outbreak Channel …Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Clustering-Based Speech Emoti…Bayesian BILSTM approach for tourism demand forecasting (2020)Bayesian BILSTM approach for …A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)The Performance of LSTM and B…Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico (2019)Return and volatility linkage…Impact of economic policy uncertainty on exchange rate volatility of China (2019)Impact of economic policy unc…Exchange rate expectations and economic policy uncertainty (2016)Exchange rate expectations an…Dynamic linkages among oil price, gold price, exchange rate, and stock market in India (2016)Dynamic linkages among oil pr…Exchange Rate Predictability (2013)Exchange Rate PredictabilityExchange rate forecasting, order flow and macroeconomic information (2009)Exchange rate forecasting, or…Comparison of Volatility Measures: a Risk Management Perspective (2009)Comparison of Volatility Meas…A hybrid model for exchange rate prediction (2005)A hybrid model for exchange r…Commodity currencies and the real exchange rate (2004)Commodity currencies and the …Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Can Exchange Rates Forecast Commodity Prices? * (2010)How to Understand High Food Prices (2010)Natural Resources: Curse or Blessing? 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References

  • 2019The Performance of LSTM and BiLSTM in Forecasting Time Series1,767 cited
  • 2013Exchange Rate Predictability654 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction654 cited
  • 2004Commodity currencies and the real exchange rate482 cited
  • 2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM402 cited
  • 2016Dynamic linkages among oil price, gold price, exchange rate, and stock market in India367 cited
  • 2009Exchange rate forecasting, order flow and macroeconomic information281 cited
  • 2019Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico276 cited
  • 2020Bayesian BILSTM approach for tourism demand forecasting235 cited
  • 2020The Disease Outbreak Channel of Exchange Rate Return Predictability: Evidence from COVID-19229 cited
  • 2016Exchange rate expectations and economic policy uncertainty217 cited
  • 2019Impact of economic policy uncertainty on exchange rate volatility of China207 cited
  • 2022Adaptability of Financial Time Series Prediction Based on BiLSTM202 cited
  • 2009Comparison of Volatility Measures: a Risk Management Perspective195 cited
  • 2021

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NGCU: A New RNN Model for Time-Series Data Prediction
173 cited
  • 2005A hybrid model for exchange rate prediction155 cited
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