Publication:

Brownian excursions and Parisian barrier options

Date

Date

Date
1997
Journal Article
Published version

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Chesney, M., Jeanblanc-Picqué, M., & Yor, M. (1997). Brownian excursions and Parisian barrier options. Advances in Applied Probability, 29(1), 165–184. https://doi.org/10.2307/1427865

Abstract

Abstract

Abstract

In this paper we study a new kind of option, called hereinafter a Parisian barrier option. This option is the following variant of the so-called barrier option: a down-and-out barrier option becomes worthless as soon as a barrier is reached, whereas a down-and-out Parisian barrier option is lost by the owner if the underlying asset reaches a prespecified level and remains constantly below this level for a time interval longer than a fixed number, called the window. Properties of durations of Brownian excursions play an essential role.

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67 since deposited on 2023-08-31
Acq. date: 2025-11-12

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Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
29

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
165

Page end

Page end

Page end
184

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Brownian excurison, Brownian meander, barrier options

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
1997

Date available

Date available

Date available
2023-08-31

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0001-8678

OA Status

OA Status

OA Status
Closed

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:13230

Metrics

Views

67 since deposited on 2023-08-31
Acq. date: 2025-11-12

Citations

Citation copied

Chesney, M., Jeanblanc-Picqué, M., & Yor, M. (1997). Brownian excursions and Parisian barrier options. Advances in Applied Probability, 29(1), 165–184. https://doi.org/10.2307/1427865

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