activity
20202026
most citedDetecting and repairing arbitrage in traded option prices

26 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

q-fin.CP2026

Universal Diffusion Models for Implied Volatility Surfaces: Learning Shared Dynamics Across Stocks

Mingzhi Yang, Sheng Wang, Chao Zhang +1

Modeling the dynamics of option implied volatility surface (IVS) is crucial for pricing, hedging, and risk-managing option portfolios. We develop a universal conditional diffusion…

q-fin.CP2022

Hedging option books using neural-SDE market models

Samuel N. Cohen, Christoph Reisinger, Sheng Wang

We study the capability of arbitrage-free neural-SDE market models to yield effective strategies for hedging options. In particular, we derive sensitivity-based and minimum-varianc…

q-fin.CP2022

Estimating risks of option books using neural-SDE market models

Samuel N. Cohen, Christoph Reisinger, Sheng Wang

In this paper, we examine the capacity of an arbitrage-free neural-SDE market model to produce realistic scenarios for the joint dynamics of multiple European options on a single u…

q-fin.CP2021

Arbitrage-free neural-SDE market models

Samuel N. Cohen, Christoph Reisinger, Sheng Wang

Modelling joint dynamics of liquid vanilla options is crucial for arbitrage-free pricing of illiquid derivatives and managing risks of option trade books. This paper develops a non…

q-fin.PR2020★ 26 cited

Detecting and repairing arbitrage in traded option prices

Samuel N. Cohen, Christoph Reisinger, Sheng Wang

Option price data are used as inputs for model calibration, risk-neutral density estimation and many other financial applications. The presence of arbitrage in option price data ca…