has been cited by the following article(s):
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Stability of GARCH models for prediction the exchange rate based on machine learning with time-varying
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2021 |
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[2]
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Моделирование взаимосвязи волатильности финансовых рынков и экономического роста развитых и развивающихся стран
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2021 |
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CSI300 volatility predicting by internet users' searching behavior
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2020 |
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NELINEĀRU UN NESTACIONĀRU NORMALIZĒTA VEĢETĀCIJAS INDEKSA LAIKA RINDU PROGNOZĒŠANAS SISTĒMAS IZSTRĀDĀŠANA
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2019 |
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Forecasting System Development for Nonlinear and Nonstationary Time Series of Normalized Difference Vegetation Index
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2019 |
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[6]
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Machine learning-aided modeling of fixed income instruments
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2018 |
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Discrete representation strategies for foreign exchange prediction
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Journal of Intelligent Information Systems,
2017 |
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遥感与气象数据结合预测小麦灌浆期白粉病
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2016 |
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An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction
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Applied Soft Computing,
2016 |
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遥感与气象数据结合预测小麦灌浆期白粉病.
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Transactions of the Chinese Society of Agricultural Engineering,
2016 |
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A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA
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Neural Computing and Applications,
2016 |
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Wheat powdery mildew forecasting in filling stage based on remote sensing and meteorological data
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Transactions of the Chinese Society of Agricultural Engineering,
2016 |
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Evaluating a Simple String Representation for Intra-day Foreign Exchange Prediction
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New Frontiers in Mining Complex Patterns,
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BIG DATA ANALYTICS IN FINANCIAL MARKET
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2015 |
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A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction
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International Journal of Approximate Reasoning,
2015 |
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Stock market trend prediction using a sparse Bayesian framework
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Neural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on,
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[17]
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Option pricing using artificial neural networks: an Australian perspective
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NULL
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Optimization of Intraday Trading Strategy Based on ACD Rules and Pivot Point System in Chinese Market
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Journal of Intelligent Learning Systems and Applications,
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Estudo comparativo de previsão entre redes neurais, máquina de suporte vetorial e modelos lineares: uma aplicação à estrutura a termo das taxas de juros
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2012 |
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Estudo comparativo de previsão entre redes neurais, máquina de suporte vetorial e modelos lineares: uma aplicação à estrutura a termo das taxas de …
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2012 |
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[1]
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A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning
IEEE Access,
2023
DOI:10.1109/ACCESS.2023.3278790
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[2]
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Commodity and Stock Price Prediction using ML Time Series Regression, LSTM
International Journal of Advanced Research in Science, Communication and Technology,
2023
DOI:10.48175/IJARSCT-13644
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[3]
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Stability of GARCH models for prediction the exchange rate based on machine learning with time-varying
Journal of Physics: Conference Series,
2021
DOI:10.1088/1742-6596/1897/1/012013
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CSI300 volatility predicting by internet users’ searching behavior
Current Psychology,
2020
DOI:10.1007/s12144-020-00812-2
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Discrete representation strategies for foreign exchange prediction
Journal of Intelligent Information Systems,
2017
DOI:10.1007/s10844-017-0445-8
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Stock market trend prediction using a sparse Bayesian framework
12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL),
2014
DOI:10.1109/NEUREL.2014.7011508
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Optimization of Intraday Trading Strategy Based on ACD Rules and Pivot Point System in Chinese Market
Journal of Intelligent Learning Systems and Applications,
2012
DOI:10.4236/jilsa.2012.44029
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