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5 papers

q-fin.RM2026

Robust Hedging Valuation Adjustment for Deep Hedging Policies under Market Frictions

Takayuki Sakuma

Hedging a derivative position under transaction costs and market frictions requires a trading rule that adapts to changing conditions. Deep hedging trains a neural policy for this…

q-fin.RM2026

Environmental CVA with KL-Robust Wrong-Way Risk

Takayuki Sakuma

The paper proposes a framework for incorporating long‑term climate and biodiversity scenarios into counterparty credit risk valuation (CVA) by mapping environmental drivers to haza…

q-fin.CP2026

Differential Machine Learning for 0DTE Options with Stochastic Volatility and Jumps

Takayuki Sakuma

The paper introduces a differential machine learning framework that jointly learns option prices and Greeks for zero‑day‑to‑expiry options under stochastic‑volatility jump‑diffusio…

q-fin.RM2026

Robust Hedging Valuation Adjustment under Liquidity--Demand Stress

Takayuki Sakuma

This paper develops a robust hedging valuation adjustment (HVA) measure for dynamic hedging. Simulated rebalancing and maturity-unwind trades generate a loss distribution for each…

q-fin.GN2025

Diagram-to-Circuit QNLP for Financial Sentiment Analysis

Takayuki Sakuma

We study a \emph{QDisCoCirc}-inspired, chunked diagram-to-circuit quantum natural language processing (QNLP) model for three-class sentiment classification of financial texts. In o…