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Article: Optimal portfolio and consumption for a Markovian regime-switching jump-diffusion process

TitleOptimal portfolio and consumption for a Markovian regime-switching jump-diffusion process
Authors
Keywordsportfolio and consumption
jump-diffusion process
regime switching
Hamilton–Jacobi–Bellman equation
stochastic maximum principle
Issue Date2021
PublisherCambridge University Press. The Journal's web site is located at http://journal.austms.org.au/ojs/index.php/ANZIAMJ/index
Citation
The ANZIAM Journal, 2021, v. 63 n. 3, p. 308-332 How to Cite?
AbstractWe consider the optimal portfolio and consumption problem for a jump-diffusion process with regime switching. Under the criterion of maximizing the expected discounted total utility of consumption, two methods, namely, the dynamic programming principle and the stochastic maximum principle, are used to obtain the optimal result for the general objective function, which is the solution to a system of partial differential equations. Furthermore, we investigate the power utility as a specific example and analyse the existence and uniqueness of the optimal solution. Under the constraints of no-short-selling and nonnegative consumption, closed-form expressions for the optimal strategy and the value function are derived. Besides, some comparisons between the optimal results for the jump-diffusion model and the pure diffusion model are carried out. Finally, we discuss our optimal results in some special cases.
Persistent Identifierhttp://hdl.handle.net/10722/306883
ISSN
2022 Impact Factor: 0.9
2020 SCImago Journal Rankings: 0.221
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, C-
dc.contributor.authorLiang, Z-
dc.contributor.authorYuen, KC-
dc.date.accessioned2021-10-22T07:40:59Z-
dc.date.available2021-10-22T07:40:59Z-
dc.date.issued2021-
dc.identifier.citationThe ANZIAM Journal, 2021, v. 63 n. 3, p. 308-332-
dc.identifier.issn1446-1811-
dc.identifier.urihttp://hdl.handle.net/10722/306883-
dc.description.abstractWe consider the optimal portfolio and consumption problem for a jump-diffusion process with regime switching. Under the criterion of maximizing the expected discounted total utility of consumption, two methods, namely, the dynamic programming principle and the stochastic maximum principle, are used to obtain the optimal result for the general objective function, which is the solution to a system of partial differential equations. Furthermore, we investigate the power utility as a specific example and analyse the existence and uniqueness of the optimal solution. Under the constraints of no-short-selling and nonnegative consumption, closed-form expressions for the optimal strategy and the value function are derived. Besides, some comparisons between the optimal results for the jump-diffusion model and the pure diffusion model are carried out. Finally, we discuss our optimal results in some special cases.-
dc.languageeng-
dc.publisherCambridge University Press. The Journal's web site is located at http://journal.austms.org.au/ojs/index.php/ANZIAMJ/index-
dc.relation.ispartofThe ANZIAM Journal-
dc.rightsThe ANZIAM Journal. Copyright © Cambridge University Press.-
dc.rightsThis article has been published in a revised form in [Journal] [http://doi.org/XXX]. This version is free to view and download for private research and study only. Not for re-distribution, re-sale or use in derivative works. © copyright holder.-
dc.subjectportfolio and consumption-
dc.subjectjump-diffusion process-
dc.subjectregime switching-
dc.subjectHamilton–Jacobi–Bellman equation-
dc.subjectstochastic maximum principle-
dc.titleOptimal portfolio and consumption for a Markovian regime-switching jump-diffusion process-
dc.typeArticle-
dc.identifier.emailYuen, KC: kcyuen@hku.hk-
dc.identifier.authorityYuen, KC=rp00836-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1017/S1446181121000122-
dc.identifier.scopuseid_2-s2.0-85111070999-
dc.identifier.hkuros328391-
dc.identifier.volume63-
dc.identifier.issue3-
dc.identifier.spage308-
dc.identifier.epage332-
dc.identifier.isiWOS:000716994800004-
dc.publisher.placeUnited Kingdom-

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