A Financial Time-Series Prediction Model Based on Multiplex Attention and Linear Transformer Structure
Author:
Affiliation:
1. School of Management, Wuhan Institute of Technology, Wuhan 430205, China
2. Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
3. School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK
Abstract
Funder
National Key R&D Program of China
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/8/5175/pdf
Reference41 articles.
1. The use of ARIMA models for reliability forecasting and analysis;Ho;Comput. Ind. Eng.,1998
2. Dynamic forecasts of qualitative variables: A Qual VAR model of US recessions;Dueker;J. Bus. Econ. Stat.,2005
3. Non–Gaussian GARCH option pricing models and their diffusion limits;Badescu;Eur. J. Oper. Res.,2015
4. Forecasting stock indices with back propagation neural network;Wang;Expert Syst. Appl.,2011
5. Financial time series forecasting using support vector machines;Kim;Neurocomputing,2003
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