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A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting · Study

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ArticleA new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting

Siyuan Liu2023

Article2023

A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting

Siyuan Liu · Qiqian Huang · Mingchen Li · Yunjie Wei

27 citations·0/0 files stored·Engineering Applications of Artificial Intelligence

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

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References

2019The Performance of LSTM and BiLSTM in Forecasting Time Series 2013Exchange Rate Predictability 2020A CNN-BiLSTM-AM method for stock price prediction 2004Commodity currencies and the real exchange rate 2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM 2016Dynamic linkages among oil price, gold price, exchange rate, and stock market in India 2009Exchange rate forecasting, order flow and macroeconomic information 2019Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico

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Details

Year2023

Typearticle

Published2023-10-31

VenueEngineering Applications of Artificial Intelligence

ISSN-L0952-1976

Languageen

Citations27

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.engappai.2023.107305

openalex_workW4388070989

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