Option pricing model based on a Markov-modulated diffusion with jumps

The paper proposes a class of financial market models which are based on inhomogeneous telegraph processes and jump diffusions with alternating volatilities. It is assumed that the jumps occur when the tendencies and volatilities are switching. Such a model captures well the stock price dynamics und...

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Autores:
Tipo de recurso:
Fecha de publicación:
2010
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23606
Acceso en línea:
https://doi.org/10.1214/09-BJPS037
https://repository.urosario.edu.co/handle/10336/23606
Palabra clave:
Markov-modulated diffusion
Option pricing
Telegraph process
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repository_id_str
spelling 4ab98391-ba48-4790-b0fb-e3a748e4361b-12020-05-26T00:03:34Z2020-05-26T00:03:34Z2010The paper proposes a class of financial market models which are based on inhomogeneous telegraph processes and jump diffusions with alternating volatilities. It is assumed that the jumps occur when the tendencies and volatilities are switching. Such a model captures well the stock price dynamics under periodic financial cycles. The distribution of this process is described in detail.We also provide a closed form of the structure of risk-neutral measures. This incomplete model can be completed by adding another asset based on the same sources of randomness. For completed market model we obtain explicit formulae for call prices. © 2010, Brazilian Statistical Association. All rights reserved.application/pdfhttps://doi.org/10.1214/09-BJPS0371030752https://repository.urosario.edu.co/handle/10336/23606eng431No. 2413Brazilian Journal of Probability and StatisticsVol. 24Brazilian Journal of Probability and Statistics, ISSN:1030752, Vol.24, No.2 (2010); pp. 413-431https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051651832&doi=10.1214%2f09-BJPS037&partnerID=40&md5=1c14cdeb9af3296e067e8987bf0e8119Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURMarkov-modulated diffusionOption pricingTelegraph processOption pricing model based on a Markov-modulated diffusion with jumpsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ratanov N.10336/23606oai:repository.urosario.edu.co:10336/236062022-05-02 07:37:21.105509https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Option pricing model based on a Markov-modulated diffusion with jumps
title Option pricing model based on a Markov-modulated diffusion with jumps
spellingShingle Option pricing model based on a Markov-modulated diffusion with jumps
Markov-modulated diffusion
Option pricing
Telegraph process
title_short Option pricing model based on a Markov-modulated diffusion with jumps
title_full Option pricing model based on a Markov-modulated diffusion with jumps
title_fullStr Option pricing model based on a Markov-modulated diffusion with jumps
title_full_unstemmed Option pricing model based on a Markov-modulated diffusion with jumps
title_sort Option pricing model based on a Markov-modulated diffusion with jumps
dc.subject.keyword.spa.fl_str_mv Markov-modulated diffusion
Option pricing
Telegraph process
topic Markov-modulated diffusion
Option pricing
Telegraph process
description The paper proposes a class of financial market models which are based on inhomogeneous telegraph processes and jump diffusions with alternating volatilities. It is assumed that the jumps occur when the tendencies and volatilities are switching. Such a model captures well the stock price dynamics under periodic financial cycles. The distribution of this process is described in detail.We also provide a closed form of the structure of risk-neutral measures. This incomplete model can be completed by adding another asset based on the same sources of randomness. For completed market model we obtain explicit formulae for call prices. © 2010, Brazilian Statistical Association. All rights reserved.
publishDate 2010
dc.date.created.spa.fl_str_mv 2010
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:03:34Z
dc.date.available.none.fl_str_mv 2020-05-26T00:03:34Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1214/09-BJPS037
dc.identifier.issn.none.fl_str_mv 1030752
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23606
url https://doi.org/10.1214/09-BJPS037
https://repository.urosario.edu.co/handle/10336/23606
identifier_str_mv 1030752
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 431
dc.relation.citationIssue.none.fl_str_mv No. 2
dc.relation.citationStartPage.none.fl_str_mv 413
dc.relation.citationTitle.none.fl_str_mv Brazilian Journal of Probability and Statistics
dc.relation.citationVolume.none.fl_str_mv Vol. 24
dc.relation.ispartof.spa.fl_str_mv Brazilian Journal of Probability and Statistics, ISSN:1030752, Vol.24, No.2 (2010); pp. 413-431
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051651832&doi=10.1214%2f09-BJPS037&partnerID=40&md5=1c14cdeb9af3296e067e8987bf0e8119
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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