FinFormer: A Novel Transformer Architecture with Probabilistic Sparse Attention and Temporal Decay for Long-Range Stock Price Forecasting

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Dr. Anuj Kumar Singh, Neha Kumari, Kashish Dwivedi, Priya Agarwal
DOI: 10.2139/ssrn.6355498
Cited by: 0

Fields of Study & Subjects

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

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint