RARSGAN: Risk-Aware, Regime-Structured Generative Framework for Peer-Group Revenue Scenario Generation under High Firm Similarity

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Silu Li, Tian Tian
DOI: 10.2139/ssrn.6336573
Cited by: 0
References: 16

Fields of Study & Subjects

Generative Adversarial Networks and Image Synthesis Financial Risk and Volatility Modeling Stock Market Forecasting Methods

Publication details

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