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Article: On Correlated Defaults and Incomplete Information

TitleOn Correlated Defaults and Incomplete Information
Authors
KeywordsCorrelated defaults
Brownian motions
incomplete information
intensity models
Issue Date2021
PublisherAmerican Institute of Mathematical Sciences. The Journal's web site is located at https://www.aimsciences.org/journal/1547-5816
Citation
Journal of Industrial and Management Optimization, 2021, v. 17 n. 2, p. 889-908 How to Cite?
AbstractIn this paper, we study a continuous time structural asset value model for two correlated firms using a two-dimensional Brownian motion. We consider the situation of incomplete information, where the information set available to the market participants includes the default time of each firm and the periodic asset value reports. In this situation, the default time of each firm becomes a totally inaccessible stopping time to the market participants. The original structural model is first transformed to a reduced-form model. Then the conditional distribution of the default time together with the asset value of each name are derived. We prove the existence of the intensity processes of default times and also give the explicit form of the intensity processes. Numerical studies on the intensities of the two correlated names are conducted for some special cases.
DescriptionBronze open access
Persistent Identifierhttp://hdl.handle.net/10722/300867
ISSN
2021 Impact Factor: 1.411
2020 SCImago Journal Rankings: 0.325
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChing, WK-
dc.contributor.authorGu, JW-
dc.contributor.authorZhang, H-
dc.date.accessioned2021-07-06T03:11:19Z-
dc.date.available2021-07-06T03:11:19Z-
dc.date.issued2021-
dc.identifier.citationJournal of Industrial and Management Optimization, 2021, v. 17 n. 2, p. 889-908-
dc.identifier.issn1547-5816-
dc.identifier.urihttp://hdl.handle.net/10722/300867-
dc.descriptionBronze open access-
dc.description.abstractIn this paper, we study a continuous time structural asset value model for two correlated firms using a two-dimensional Brownian motion. We consider the situation of incomplete information, where the information set available to the market participants includes the default time of each firm and the periodic asset value reports. In this situation, the default time of each firm becomes a totally inaccessible stopping time to the market participants. The original structural model is first transformed to a reduced-form model. Then the conditional distribution of the default time together with the asset value of each name are derived. We prove the existence of the intensity processes of default times and also give the explicit form of the intensity processes. Numerical studies on the intensities of the two correlated names are conducted for some special cases.-
dc.languageeng-
dc.publisherAmerican Institute of Mathematical Sciences. The Journal's web site is located at https://www.aimsciences.org/journal/1547-5816-
dc.relation.ispartofJournal of Industrial and Management Optimization-
dc.rightsJournal of Industrial and Management Optimization. Copyright © American Institute of Mathematical Sciences.-
dc.rightsThis is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here].-
dc.subjectCorrelated defaults-
dc.subjectBrownian motions-
dc.subjectincomplete information-
dc.subjectintensity models-
dc.titleOn Correlated Defaults and Incomplete Information-
dc.typeArticle-
dc.identifier.emailChing, WK: wching@hku.hk-
dc.identifier.authorityChing, WK=rp00679-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.3934/jimo.2020003-
dc.identifier.scopuseid_2-s2.0-85101528703-
dc.identifier.hkuros323248-
dc.identifier.volume17-
dc.identifier.issue2-
dc.identifier.spage889-
dc.identifier.epage908-
dc.identifier.isiWOS:000607872800019-
dc.publisher.placeUnited States-

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