TAIL-SAFEHEDGING: EXPLAINABLE RISK-SENSITIVE REINFORCEMENT LEARNING WITH A WHITE-BOX CBF–QP SAFETY LAYER IN ARBITRAGE-FREE MARKETS

By Zhang Jian'an

Published 2025-10-06

Everscope rating

1392.4

Relevance to quantitative trading

9 / 10

Implementation complexity

9 / 10

Reproducibility

3 / 5

About this paper

Methodology: Tail-Safe (IQN–CVaR–PPO with White-Box CBF–QP Safety Layer). Problem types: Reinforcement Learning, Risk Management, Portfolio Optimization, Algorithmic Execution, Derivatives Hedging, Distributionally Robust Optimization, Safe Reinforcement Learning, Explainable AI, Optimization.

arXiv:2510.04555 · Paper rankings

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