Double Telegraph Processes and Complete Market Models
The traditional jump-telegraph processes are based on a Poisson process with alternating intensities. We develop a new model based on an alternating doubly stochastic Poisson process with random intensities of jumps. Moreover, in this model the jump-telegraph process performs additional jumps each t...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23337
- Acceso en línea:
- https://doi.org/10.1080/07362994.2014.899914
https://repository.urosario.edu.co/handle/10336/23337
- Palabra clave:
- Complete market models
Doubly stochastic Poisson process
Jump-telegraph process
Markov flow
Martingale
- Rights
- License
- Abierto (Texto Completo)
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3203526002020-05-26T00:01:14Z2020-05-26T00:01:14Z2014The traditional jump-telegraph processes are based on a Poisson process with alternating intensities. We develop a new model based on an alternating doubly stochastic Poisson process with random intensities of jumps. Moreover, in this model the jump-telegraph process performs additional jumps each time when the intensity changes at random. Martingale measures for this type of processes are described by using Girsanov's transformation. The market model based on the doubly stochastic jump-telegraph process is studied. A class of complete models is also considered. 2014 © Taylor and Francis Group, LLC.application/pdfhttps://doi.org/10.1080/07362994.2014.8999141532935607362994https://repository.urosario.edu.co/handle/10336/23337engTaylor and Francis Inc.574No. 4555Stochastic Analysis and ApplicationsVol. 32Stochastic Analysis and Applications, ISSN:15329356, 07362994, Vol.32, No.4 (2014); pp. 555-574https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902505171&doi=10.1080%2f07362994.2014.899914&partnerID=40&md5=e40b7f8628133009e37ee24bd313cc52Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURComplete market modelsDoubly stochastic Poisson processJump-telegraph processMarkov flowMartingaleDouble Telegraph Processes and Complete Market ModelsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ratanov, Nikita10336/23337oai:repository.urosario.edu.co:10336/233372021-06-10 23:06:21.363https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Double Telegraph Processes and Complete Market Models |
title |
Double Telegraph Processes and Complete Market Models |
spellingShingle |
Double Telegraph Processes and Complete Market Models Complete market models Doubly stochastic Poisson process Jump-telegraph process Markov flow Martingale |
title_short |
Double Telegraph Processes and Complete Market Models |
title_full |
Double Telegraph Processes and Complete Market Models |
title_fullStr |
Double Telegraph Processes and Complete Market Models |
title_full_unstemmed |
Double Telegraph Processes and Complete Market Models |
title_sort |
Double Telegraph Processes and Complete Market Models |
dc.subject.keyword.spa.fl_str_mv |
Complete market models Doubly stochastic Poisson process Jump-telegraph process Markov flow Martingale |
topic |
Complete market models Doubly stochastic Poisson process Jump-telegraph process Markov flow Martingale |
description |
The traditional jump-telegraph processes are based on a Poisson process with alternating intensities. We develop a new model based on an alternating doubly stochastic Poisson process with random intensities of jumps. Moreover, in this model the jump-telegraph process performs additional jumps each time when the intensity changes at random. Martingale measures for this type of processes are described by using Girsanov's transformation. The market model based on the doubly stochastic jump-telegraph process is studied. A class of complete models is also considered. 2014 © Taylor and Francis Group, LLC. |
publishDate |
2014 |
dc.date.created.spa.fl_str_mv |
2014 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:01:14Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:01:14Z |
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/10.1080/07362994.2014.899914 |
dc.identifier.issn.none.fl_str_mv |
15329356 07362994 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/23337 |
url |
https://doi.org/10.1080/07362994.2014.899914 https://repository.urosario.edu.co/handle/10336/23337 |
identifier_str_mv |
15329356 07362994 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
574 |
dc.relation.citationIssue.none.fl_str_mv |
No. 4 |
dc.relation.citationStartPage.none.fl_str_mv |
555 |
dc.relation.citationTitle.none.fl_str_mv |
Stochastic Analysis and Applications |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 32 |
dc.relation.ispartof.spa.fl_str_mv |
Stochastic Analysis and Applications, ISSN:15329356, 07362994, Vol.32, No.4 (2014); pp. 555-574 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902505171&doi=10.1080%2f07362994.2014.899914&partnerID=40&md5=e40b7f8628133009e37ee24bd313cc52 |
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 |
dc.publisher.spa.fl_str_mv |
Taylor and Francis Inc. |
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 |
_version_ |
1814167486007869440 |