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T. Sakuma

5 papers hereh-index 222 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • q-fin.RM3
  • q-fin.CP1
  • q-fin.GN1
same name
  • T. Sakuma — 141 papers
  • T. Sakuma — 14 papers
  • T. Sakuma — 13 papers
  • T. Sakuma — 11 papers, h 109
  • T. Sakuma — 8 papers
  • T. Sakuma — 4 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

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

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.RM2026

Environmental CVA with KL-Robust Wrong-Way Risk

Takayuki Sakuma

Although climate and nature related scenario analysis is increasingly important in finance, operational implementations remain limited for translating long horizon environmental sc…

q-fin.CP2026

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

Takayuki Sakuma

We present a differential machine learning method for zero-days-to-expiry (0DTE) options under a stochastic-volatility jump-diffusion model. To handle the ultra-short-maturity regi…

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…

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