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Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures
16 references·1 citing·43 second hop
Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures (2020)Deep multi-hybrid forecasting system with…Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Improving forecasting accurac…Improved EEMD-based crude oil price forecasting using LSTM networks (2018)Improved EEMD-based crude oil…Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Forecasting the volatility of…Forecasting volatility of oil price using an artificial neural network-GARCH model (2016)Forecasting volatility of oil…Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition (2015)Time Series Forecasting Using…Forecasting the COMEX copper spot price by means of neural networks and ARIMA models (2015)Forecasting the COMEX copper …Volatility clustering and long memory of financial time series and financial price model (2012)Volatility clustering and lon…Integration of nonlinear independent component analysis and support vector regression for stock price forecasting (2012)Integration of nonlinear inde…OPTIMAL TRADE EXECUTION UNDER GEOMETRIC BROWNIAN MOTION IN THE ALMGREN AND CHRISS FRAMEWORK (2011)OPTIMAL TRADE EXECUTION UNDER…Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling (2011)Crude oil price forecasting: …Forecasting model of global stock index by stochastic time effective neural network (2009)Forecasting model of global s…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…A Test for Superior Predictive Ability (2005)A Test for Superior Predictiv…The integral of geometric Brownian motion (2001)The integral of geometric Bro…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyA New Hybrid Forecasting Model Based on SW‐LSTM and Wavelet Packet Decomposition: A Case Study of Oil Futures Prices (2021)A New Hybrid Forecasting Mode…Time Series Analysis Forecasting and Control. 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136 cited
  • 2001The integral of geometric Brownian motion132 cited
  • 2012Volatility clustering and long memory of financial time series and financial price model116 cited
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    • 2021A New Hybrid Forecasting Model Based on SW‐LSTM and Wavelet Packet Decomposition: A Case Study of Oil Futures Prices29 cited