Abstract

Given a deterministically time-changed Brownian motion $Z$ startingfrom $1$, whose time-change $V(t)$ satisfies $V(t) > t$ for all $t > 0$, we perform an explicit construction of a process $X$ which is Brownian motion in its own filtration and that hits zero for the first time at $V(\tau)$, where $\tau := \inf\{t>0: Z_t =0\}$. We also provide the semimartingale decomposition of $X$ under the filtration jointly generated by $X$ and $Z$. Our construction relies on a combination of enlargement of filtration and filtering techniques. The resulting process $X$ may be viewed as the analogue of a $3$-dimensional Bessel bridge starting from $1$ at time $0$ and ending at $0$ at the random time $V(\tau)$. We call this a dynamic Bessel bridge since $V(\tau)$ is not known in advance. Our study is motivated by insider trading models with default risk, where the insider observes the firm's value continuously on time. The financial application, which uses results proved in the present paper, has been developed in a companion paper.

Highlights

  • We are interested in constructing a Brownian motion starting from 1 at time t = 0 and conditioned to hit the level 0 for the first time at a given random time

  • Three agents act in the market of a defaultable bond issued by a firm, whose value process is modelled under the risk-neutral probability as a Brownian motion and whose default time is set to be the first time that the firm’s value hits a given constant default barrier

  • Finding the equilibrium demand in this more realistic model corresponds to answering the question we formulated at the beginning of this introduction, i.e. build a process X hitting the default barrier 0 for the first time at time V (τ ) and being a Brownian motion in its own filtration

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Summary

Introduction

For the precise modeling assumptions we refer to [2] It has been shown in [2] that the equilibrium total demand is a process X∗ which is a translation of a 3-dimensional Bessel bridge in insider’s filtration but is a Brownian motion in its own filtration. Finding the equilibrium demand in this more realistic model corresponds to answering the question we formulated at the beginning of this introduction, i.e. build a process X hitting the default barrier 0 for the first time at time V (τ ) and being a Brownian motion in its own filtration. Several technical results used along our proofs have been relegated in the Appendix for reader’s convenience

Formulation of the main result
Proof of the main result
Conditional density of Z
A Appendix
Xs2 ds
Rs2 ds

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