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Dive into the research topics where Mikhail Urusov is active.

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Featured researches published by Mikhail Urusov.


Mathematical Finance | 2014

Optimal Trade Execution and Price Manipulation in Order Books with Time‐Varying Liquidity

Antje Fruth; Torsten Schöneborn; Mikhail Urusov

In financial markets, liquidity is not constant over time but exhibits strong seasonal patterns. In this article we consider a limit order book model that allows for time-dependent, deterministic depth and resilience of the book and determine optimal portfolio liquidation strategies. In a first model variant, we propose a trading dependent spread that increases when market orders are matched against the order book. In this model no price manipulation occurs and the optimal strategy is of the wait region - buy region type often encountered in singular control problems. In a second model, we assume that there is no spread in the order book. Under this assumption we find that price manipulation can occur, depending on the model parameters. Even in the absence of classical price manipulation there may be transaction triggered price manipulation. In specific cases, we can state the optimal strategy in closed form.


Stochastics An International Journal of Probability and Stochastic Processes | 2007

Optimal stopping via measure transformation: the Beibel–Lerche approach

Hans Rudolf Lerche; Mikhail Urusov

Optimal stopping of diffusions and related processes is usually done by solving a free boundary problem. In this paper, we propagate an alternative way, which has already been described in two earlier papers of Beibel and Lerche; we call it the B–L approach. It can be viewed as optimal stopping via measure transformation. While we emphasized in Beibel and Lerche a rather algebraic view, we describe here more the analytic side of the approach. Finally, it is related to some recent Jamshidians results on a duality in optimal stopping.


Annals of Applied Probability | 2008

On a class of optimal stopping problems for diffusions with discontinuous coefficients

Ludger Rüschendorf; Mikhail Urusov

In this paper, we introduce a modification of the free boundary problem related to optimal stopping problems for diffusion processes. This modification allows the application of this PDE method in cases where the usual regularity assumptions on the coefficients and on the gain function are not satisfied. We apply this method to the optimal stopping of integral functionals with exponential discount of the form


Finance and Stochastics | 2012

Deterministic criteria for the absence of arbitrage in one-dimensional diffusion models

Aleksandar Mijatović; Mikhail Urusov

E_x\int_0^{\tau}e^{-\lambda s}f(X_s) ds


Journal of Mathematical Analysis and Applications | 2018

Variance reduction for discretised diffusions via regression

Denis Belomestny; Stefan Häfner; Tigran Nagapetyan; Mikhail Urusov

,


arXiv: Probability | 2012

Martingale Property of Generalized Stochastic Exponentials

Aleksandar Mijatović; Nika Novak; Mikhail Urusov

\lambda\ge0


Proceedings of the Steklov Institute of Mathematics | 2014

On the submartingale/supermartingale property of diffusions in natural scale

Alexander A. Gushchin; Mikhail Urusov; Mihail Zervos

for one-dimensional diffusions


Ima Journal of Applied Mathematics | 2014

A note on delta hedging in markets with jumps

Aleksandar Mijatović; Mikhail Urusov

X


Mathematical Finance | 2018

Optimal trade execution in order books with stochastic liquidity

Antje Fruth; Torsten Schöneborn; Mikhail Urusov

. We prove a general verification theorem which justifies the modified version of the free boundary problem. In the case of no drift and discount, the free boundary problem allows to give a complete and explicit discussion of the stopping problem.


Annales De L Institut Henri Poincare-probabilites Et Statistiques | 2017

A functional limit theorem for irregular SDEs

Stefan Ankirchner; Thomas Kruse; Mikhail Urusov

We obtain a deterministic characterisation of the no free lunch with vanishing risk, the no generalised arbitrage and the no relative arbitrage conditions in the one-dimensional diffusion setting and examine how these notions of no-arbitrage relate to each other.

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Thomas Kruse

University of Duisburg-Essen

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Antje Fruth

Technical University of Berlin

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Mihail Zervos

London School of Economics and Political Science

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