Search Results for author: Jan Obloj

Found 8 papers, 1 papers with code

The Measure Preserving Martingale Sinkhorn Algorithm

no code implementations20 Oct 2023 Benjamin Joseph, Gregoire Loeper, Jan Obloj

We link it with the semimartingale optimal transport and deduce an alternative way to arrive at the dual formulation recently obtained in Backhoff-Beraguas et al. (2023).

Joint Calibration of Local Volatility Models with Stochastic Interest Rates using Semimartingale Optimal Transport

no code implementations28 Aug 2023 Benjamin Joseph, Gregoire Loeper, Jan Obloj

We develop and implement a non-parametric method for joint exact calibration of a local volatility model and a correlated stochastic short rate model using semimartingale optimal transport.

Wasserstein distributional robustness of neural networks

1 code implementation NeurIPS 2023 Xingjian Bai, Guangyi He, Yifan Jiang, Jan Obloj

To evaluate the distributional robustness of neural networks, we propose a first-order AA algorithm and its multi-step version.

Calibration of Local Volatility Models with Stochastic Interest Rates using Optimal Transport

no code implementations29 Apr 2023 Gregoire Loeper, Jan Obloj, Benjamin Joseph

We develop a non-parametric, optimal transport driven, calibration methodology for local volatility models with stochastic interest rate.

Optimal transport for model calibration

no code implementations5 Jul 2021 Ivan Guo, Gregoire Loeper, Jan Obloj, Shiyi Wang

We provide a survey of recent results on model calibration by Optimal Transport.

Distributionally robust portfolio maximisation and marginal utility pricing in one period financial markets

no code implementations3 May 2021 Jan Obloj, Johannes Wiesel

We consider the optimal investment and marginal utility pricing problem of a risk averse agent and quantify their exposure to a small amount of model uncertainty.

When to Quit Gambling, if You Must!

no code implementations5 Feb 2021 Sang Hu, Jan Obloj, Xun Yu Zhou

We develop an approach to solve Barberis (2012)'s casino gambling model in which a gambler whose preferences are specified by the cumulative prospect theory (CPT) must decide when to stop gambling by a prescribed deadline.

Joint Modelling and Calibration of SPX and VIX by Optimal Transport

no code implementations5 Apr 2020 Ivan Guo, Gregoire Loeper, Jan Obloj, Shiyi Wang

This paper addresses the joint calibration problem of SPX options and VIX options or futures.

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