Abstract

The paper concerns a piecewise linear process controlled by the set of velocities {cn}n≥0 consecutively switched after exponentially distributed, Exp(λn), n ≥ 0, time intervals. The distribution of such process is studied in detail, including the distribution of the first passage time through the constant boundary. The processes which moves by alternating patterns and with a double jump component are also studied

Highlights

  • A class of random processes with excitation at random times is studied for a long time in various aspects

  • The telegraph processes describing noninteracting particles, which move with finite constant velocities switchable over an exponentially distributed random time intervals have been studied by many authors beginning with Taylor (1922)

  • In this paper we study the continuous piecewise linear process L = L(t), t ≥ 0, L(t) =

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Summary

Introduction

A class of random processes with excitation at random times is studied for a long time in various aspects. In the context of market model based on Hawkes processes the optimal execution problem is solved explicitly by Alfonsi and Blanc (2016) This presentation continues the author’s paper Ratanov (2014), where the explicit formula for the moment generating function of the piecewise linear process L(t), t > 0, was given. This model involves switching tendencies (accompanied by jumps of random amplitude) due to the internal market forces (small investors). It turns out that a certain policy of the strategic investor could provoke arbitrage

Jump-telegraph processes with distinct parameters
Processes of alternating patterns with a double jump component
Market model

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