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We solve the $n$-marginal Skorokhod embedding problem for a continuous local martingale and a sequence of probability measures $\mu_1,...,\mu_n$ which are in convex order and satisfy an additional technical assumption. Our construction is…

Probability · Mathematics 2014-01-07 Jan Obłój , Peter Spoida

We consider the problem of superhedging under volatility uncertainty for an investor allowed to dynamically trade the underlying asset, and statically trade European call options for all possible strikes with some given maturity. This…

Probability · Mathematics 2014-01-17 A. Galichon , P. Henry-Labordère , N. Touzi

We study the joint laws of a continuous, uniformly integrable martingale, its maximum, and its minimum. In particular, we give explicit martingale inequalities which provide upper and lower bounds on the joint exit probabilities of a…

Probability · Mathematics 2015-03-31 Alexander M. G. Cox , Jan Obłój

The Skorokhod embedding problem aims to represent a given probability measure on the real line as the distribution of Brownian motion stopped at a chosen stopping time. In this paper, we consider an extension of the optimal Skorokhod…

Probability · Mathematics 2016-08-04 Gaoyue Guo , Xiaolu Tan , Nizar Touzi

In this paper, we provide some results on Skorokhod embedding with local time and its applications to the robust hedging problem in finance. First we investigate the robust hedging of options depending on the local time by using the…

Probability · Mathematics 2017-10-31 Julien Claisse , Gaoyue Guo , Pierre Henry-Labordere

We consider the optimal Skorokhod embedding problem (SEP) given full marginals over the time interval $[0,1]$. The problem is related to the study of extremal martingales associated with a peacock ("process increasing in convex order", by…

Probability · Mathematics 2015-03-03 Sigrid Kallblad , Xiaolu Tan , Nizar Touzi

We provide a complete characterisation of the Root solution to the Skorokhod embedding problem (SEP) by means of an optimal stopping formulation. Our methods are purely probabilistic and the analysis relies on a tailored time-reversal…

Probability · Mathematics 2017-03-27 Alexander M. G. Cox , Jan Obłój , Nizar Touzi

It is known that the Azema-Yor solution to the Skorokhod embedding problem maximizes the law of the running maximum of an uniformly integrable martingale with given terminal value distribution. Recently this optimality property has been…

Probability · Mathematics 2015-12-14 Nikolay Lysenko

We study the problem of stopping a Brownian motion at a given distribution $\nu$ while optimizing a reward function that depends on the (possibly randomized) stopping time and the Brownian motion. Our first result establishes that the set…

Probability · Mathematics 2020-04-15 Mathias Beiglböck , Marcel Nutz , Florian Stebegg

We introduce an efficient computational framework for solving a class of multi-marginal martingale optimal transport problems, which includes many robust pricing problems of large financial interest. Such problems are typically…

Computational Finance · Quantitative Finance 2025-03-21 Linn Engström , Sigrid Källblad , Johan Karlsson

The Az\'{e}ma-Yor solution (resp., the Perkins solution) of the Skorokhod embedding problem has the property that it maximizes (resp., minimizes) the law of the maximum of the stopped process. We show that these constructions have a wider…

Probability · Mathematics 2013-09-10 David Hobson , Martin Klimmek

Our main result is to establish stability of martingale couplings: suppose that $\pi$ is a martingale coupling with marginals $\mu, \nu$. Then, given approximating marginal measures $\tilde \mu \approx \mu, \tilde \nu\approx \nu$ in convex…

Probability · Mathematics 2023-08-28 Mathias Beiglböck , Benjamin Jourdain , William Margheriti , Gudmund Pammer

The Markowitz problem consists of finding in a financial market a self-financing trading strategy whose final wealth has maximal mean and minimal variance. We study this in continuous time in a general semimartingale model and under cone…

Portfolio Management · Quantitative Finance 2012-06-04 Christoph Czichowsky , Martin Schweizer

We study the problem of bounding path-dependent expectations (within any finite time horizon $d$) over the class of discrete-time martingales whose marginal distributions lie within a prescribed tolerance of a given collection of benchmark…

Probability · Mathematics 2021-12-01 Zhengqing Zhou , Jose Blanchet , Peter W. Glynn

We consider model-free pricing of digital options, which pay out if the underlying asset has crossed both upper and lower barriers. We make only weak assumptions about the underlying process (typically continuity), but assume that the…

Pricing of Securities · Quantitative Finance 2008-12-02 Alexander M. G. Cox , Jan K. Obłój

The dual representation of the martingale optimal transport problem in the Skorokhod space of multi dimensional cadlag processes is proved. The dual is a minimization problem with constraints involving stochastic integrals and is similar to…

Pricing of Securities · Quantitative Finance 2015-02-09 Y. Dolinsky , H. M. Soner

We pursue robust approach to pricing and hedging in mathematical finance. We consider a continuous time setting in which some underlying assets and options, with continuous paths, are available for dynamic trading and a further set of…

Mathematical Finance · Quantitative Finance 2015-07-07 Zhaoxu Hou , Jan Obloj

Recent work of Dupire and Carr and Lee has highlighted the importance of understanding the Skorokhod embedding originally proposed by Root for the model-independent hedging of variance options. Root's work shows that there exists a barrier…

Pricing of Securities · Quantitative Finance 2013-03-13 Alexander M. G. Cox , Jiajie Wang

A leveraged exchange traded fund (LETF) is an exchange traded fund that uses financial derivatives to amplify the price changes of a basket of goods. In this paper, we consider the robust hedging of European options on a LETF, finding…

Pricing of Securities · Quantitative Finance 2017-02-24 Alexander M. G. Cox , Sam M. Kinsley

The Skorokhod embedding problem is to represent a given probability as the distribution of Brownian motion at a chosen stopping time. Over the last 50 years this has become one of the important classical problems in probability theory and a…

Probability · Mathematics 2016-05-16 Mathias Beiglboeck , Alexander M. G. Cox , Martin Huesmann
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