DKformer: A Novel Transformer‐Based Model for Interval‐Valued Crude Oil Price Forecasting
Year: 2025
Type: article
Language: en
Topic: Stock Market Forecasting Methods
Authors and affiliations:
raw_author_name: Chuanmiao Yan
raw_affiliation_strings: School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation University of Chinese Academy of Sciences  Beijing China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science Chinese Academy of Sciences  Beijing China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing, China
raw_author_name: Xinyu Zhang
raw_affiliation_strings: School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation University of Chinese Academy of Sciences  Beijing China
School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing, China
raw_author_name: Ruhong Cui
raw_affiliation_strings: China Capital Market Society  Shanghai China
Post‐Doctoral Research Center China Securities Regulatory Commission  Beijing China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science Chinese Academy of Sciences  Beijing China
Post-Doctoral Research Center, China Securities Regulatory Commission, Beijing, China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
China Capital Market Society, Shanghai, China
raw_author_name: Yuying Sun
raw_affiliation_strings: School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation University of Chinese Academy of Sciences  Beijing China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science Chinese Academy of Sciences  Beijing China
School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
raw_author_name: Shouyang Wang
raw_affiliation_strings: School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation University of Chinese Academy of Sciences  Beijing China
School of Entrepreneurship and Management, ShanghaiTech University  Shanghai China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science Chinese Academy of Sciences  Beijing China
School of Economics and Management and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing, China
School of Entrepreneurship and Management, ShanghaiTech University, Shanghai, China
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China