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In a discrete-time financial market, a generalized duality is established for model-free superhedging, given marginal distributions of the underlying asset. Contrary to prior studies, we do not require contingent claims to be upper…

Pricing of Securities · Quantitative Finance 2019-09-17 Arash Fahim , Yu-Jui Huang , Saeed Khalili

We discuss martingales, detrending data, and the efficient market hypothesis for stochastic processes x(t) with arbitrary diffusion coefficients D(x,t). Beginning with x-independent drift coefficients R(t) we show that Martingale stochastic…

Physics and Society · Physics 2009-11-13 Joseph L. McCauley , Kevin E. Bassler , Gemunu H. Gunaratne

This paper studies an equity market of stochastic dimension, where the number of assets fluctuates over time. In such a market, we develop the fundamental theorem of asset pricing, which provides the equivalence of the following statements:…

Mathematical Finance · Quantitative Finance 2023-09-06 Erhan Bayraktar , Donghan Kim , Abhishek Tilva

We study scaled trinomial models converging to the Black--Scholes model, and analyze exponential certainty-equivalent prices for path-dependent European options. As the number of trading dates $n$ tends to infinity and the risk aversion is…

Mathematical Finance · Quantitative Finance 2026-04-01 Yan Dolinsky , Xin Zhang

The classical discrete time model of proportional transaction costs relies on the assumption that a feasible portfolio process has solvent increments at each step. We extend this setting in two directions, allowing for convex transaction…

Mathematical Finance · Quantitative Finance 2021-01-15 Emmanuel Lepinette , Ilya Molchanov

In this paper, we consider a class of stochastic optimal control problems with risk constraints that are expressed as bounded probabilities of failure for particular initial states. We present here a martingale approach that diffuses a risk…

Systems and Control · Computer Science 2015-07-09 Vu Anh Huynh , Leonid Kogan , Emilio Frazzoli

This paper does not suppose a priori that the evolution of the price of a financial asset is a semimartingale. Since possible strategies of investors are self-financing, previous prices are forced to be finite quadratic variation processes.…

Probability · Mathematics 2014-06-30 Rosanna Coviello , Cristina Di Girolami , Francesco Russo

Distributionally robust optimization has been shown to offer a principled way to regularize learning models. In this paper, we find that Tikhonov regularization is distributionally robust in an optimal transport sense (i.e., if an adversary…

Optimization and Control · Mathematics 2022-10-05 Jiajin Li , Sirui Lin , Jose Blanchet , Viet Anh Nguyen

Trading a financial asset pushes its price as well as the prices of other assets, a phenomenon known as cross-impact. We consider a general class of kernel-based cross-impact models and investigate suitable parameterisations for trading…

Trading and Market Microstructure · Quantitative Finance 2021-07-20 Mathieu Rosenbaum , Mehdi Tomas

We consider a general class of diffusion-based models and show that, even in the absence of an Equivalent Local Martingale Measure, the financial market may still be viable, in the sense that strong forms of arbitrage are excluded and…

Portfolio Management · Quantitative Finance 2013-02-12 Claudio Fontana , Wolfgang J. Runggaldier

In this paper we introduce and study the concept of optimal and surely optimal dual martingales in the context of dual valuation of Bermudan options, and outline the development of new algorithms in this context. We provide a…

Computational Finance · Quantitative Finance 2012-02-14 John Schoenmakers , Junbo Huang , Jianing Zhang

In a discrete-time setting, we study arbitrage concepts in the presence of convex trading constraints. We show that solvability of portfolio optimization problems is equivalent to absence of arbitrage of the first kind, a condition weaker…

Mathematical Finance · Quantitative Finance 2022-02-21 Claudio Fontana , Wolfgang J. Runggaldier

We consider the multiple quantile hedging problem, which is a class of partial hedging problems containing as special examples the quantile hedging problem (F{\"o}llmer \& Leukert 1999) and the PnL matching problem (introduced in Bouchard…

Probability · Mathematics 2025-10-15 Cyril Bénézet , Jean-François Chassagneux , Mohan Yang

We are interested in the existence of equivalent martingale measures and the detection of arbitrage opportunities in markets where several multi-asset derivatives are traded simultaneously. More specifically, we consider a financial market…

Pricing of Securities · Quantitative Finance 2021-11-23 Antonis Papapantoleon , Paulo Yanez Sarmiento

We study a multi-marginal optimal transportation problem on a Riemannian manifold, with cost function given by the average distance squared from multiple points to their barycenter. Under a standard regularity condition on the first…

Analysis of PDEs · Mathematics 2013-03-26 Young-Heon Kim , Brendan Pass

We construct a data-driven statistical indicator for quantifying the tail risk perceived by the EURGBP option market surrounding Brexit-related events. We show that under lognormal SABR dynamics this tail risk is closely related to the…

Pricing of Securities · Quantitative Finance 2020-03-30 Petteri Piiroinen , Lassi Roininen , Martin Simon

In this article, we develop a semigroup-theoretic framework for the analytic characterisation of martingales with path-dependent terminal conditions. Our main result establishes that a measurable adapted process of the form \[ V(t) -…

Probability · Mathematics 2025-07-03 Robert Denk , Markus Kunze , Michael Kupper

We solve the martingale optimal transport problem for cost functionals represented by optimal stopping problems. The measure-valued martingale approach developed in ArXiv: 1507.02651 allows us to obtain an equivalent infinite-dimensional…

Probability · Mathematics 2017-11-27 Erhan Bayraktar , Alexander Cox , Yavor Stoev

We consider the classical problem of building an arbitrage-free implied volatility surface from bid-ask quotes. We design a fast numerical procedure, for which we prove the convergence, based on the Sinkhorn algorithm that has been recently…

Computational Finance · Quantitative Finance 2023-07-18 Hadrien De March , Pierre Henry-Labordere

The martingale expansion provides a refined approximation to the marginal distributions of martingales beyond the normal approximation implied by the martingale central limit theorem. We develop a martingale expansion framework specifically…

Probability · Mathematics 2026-02-06 Masaaki Fukasawa
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