First-Passage Time Model Driven by Lévy Process for Pricing CoCos

Contingent convertible bonds (CoCos) are typical form of contingent capital that converts into equity of issuing firm or writes down if a prespecified trigger occurs. This paper proposes a general Lévy framework for pricing CoCos. The Lévy framework indicates that the difficulty in giving closed-for...

Full description

Bibliographic Details
Main Authors: Xiaoshan Su, Manying Bai
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/5171470
id doaj-af8dd03636bd463488cfb59c931413cf
record_format Article
spelling doaj-af8dd03636bd463488cfb59c931413cf2020-11-24T22:31:30ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/51714705171470First-Passage Time Model Driven by Lévy Process for Pricing CoCosXiaoshan Su0Manying Bai1Department of Finance, Beihang University, Beijing 100191, ChinaDepartment of Finance, Beihang University, Beijing 100191, ChinaContingent convertible bonds (CoCos) are typical form of contingent capital that converts into equity of issuing firm or writes down if a prespecified trigger occurs. This paper proposes a general Lévy framework for pricing CoCos. The Lévy framework indicates that the difficulty in giving closed-form expression for CoCos price is the possible introduction of the Lévy process whose first-passage time problem has not been solved. According to characteristics of new Lévy measure after the measure transform, three specific Lévy models driven by drifted Brownian motion, spectrally negative Lévy process, and double exponential jump diffusion process are proposed to give the solution keeping the form of the driving process unchanged under the measure transform. These three Lévy models provide closed-form expressions for CoCos price while the latter two possess them up to Laplace transform, whose pricing results are given by combining with numerical Fourier inversion and Laplace inversion. Numerical results show that negative jumps have large influence on CoCos pricing and the Black-Scholes model would overestimate CoCos price by simply compressing jumps information into volatility while the other two models would give more accurate CoCos price by taking jump risk into consideration.http://dx.doi.org/10.1155/2017/5171470
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoshan Su
Manying Bai
spellingShingle Xiaoshan Su
Manying Bai
First-Passage Time Model Driven by Lévy Process for Pricing CoCos
Mathematical Problems in Engineering
author_facet Xiaoshan Su
Manying Bai
author_sort Xiaoshan Su
title First-Passage Time Model Driven by Lévy Process for Pricing CoCos
title_short First-Passage Time Model Driven by Lévy Process for Pricing CoCos
title_full First-Passage Time Model Driven by Lévy Process for Pricing CoCos
title_fullStr First-Passage Time Model Driven by Lévy Process for Pricing CoCos
title_full_unstemmed First-Passage Time Model Driven by Lévy Process for Pricing CoCos
title_sort first-passage time model driven by lévy process for pricing cocos
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description Contingent convertible bonds (CoCos) are typical form of contingent capital that converts into equity of issuing firm or writes down if a prespecified trigger occurs. This paper proposes a general Lévy framework for pricing CoCos. The Lévy framework indicates that the difficulty in giving closed-form expression for CoCos price is the possible introduction of the Lévy process whose first-passage time problem has not been solved. According to characteristics of new Lévy measure after the measure transform, three specific Lévy models driven by drifted Brownian motion, spectrally negative Lévy process, and double exponential jump diffusion process are proposed to give the solution keeping the form of the driving process unchanged under the measure transform. These three Lévy models provide closed-form expressions for CoCos price while the latter two possess them up to Laplace transform, whose pricing results are given by combining with numerical Fourier inversion and Laplace inversion. Numerical results show that negative jumps have large influence on CoCos pricing and the Black-Scholes model would overestimate CoCos price by simply compressing jumps information into volatility while the other two models would give more accurate CoCos price by taking jump risk into consideration.
url http://dx.doi.org/10.1155/2017/5171470
work_keys_str_mv AT xiaoshansu firstpassagetimemodeldrivenbylevyprocessforpricingcocos
AT manyingbai firstpassagetimemodeldrivenbylevyprocessforpricingcocos
_version_ 1725736818869010432