Parisian Time of Reflected Brownian Motion with Drift on Rays and Its Application in Banking

Angelos Dassios and Junyi Zhang
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Angelos Dassios: Department of Statistics, London School of Economics, Houghton Street, London WC2A 2AE, UK
Junyi Zhang: Department of Statistics, London School of Economics, Houghton Street, London WC2A 2AE, UK

Risks, 2020, vol. 8, issue 4, 1-14

Abstract: In this paper, we study the Parisian time of a reflected Brownian motion with drift on a finite collection of rays. We derive the Laplace transform of the Parisian time using a recursive method, and provide an exact simulation algorithm to sample from the distribution of the Parisian time. The paper was motivated by the settlement delay in the real-time gross settlement (RTGS) system. Both the central bank and the participating banks in the system are concerned about the liquidity risk, and are interested in the first time that the duration of settlement delay exceeds a predefined limit. We reduce this problem to the calculation of the Parisian time. The Parisian time is also crucial in the pricing of Parisian type options; to this end, we will compare our results to the existing literature.

Keywords: Brownian motion; Parisian time; exact simulation; real-time gross settlement system (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:8:y:2020:i:4:p:127-:d:454257

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