Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103309
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dc.contributorDepartment of Building and Real Estate-
dc.creatorHui, ECMen_US
dc.creatorChen, Jen_US
dc.creatorChan, KKKen_US
dc.date.accessioned2023-12-11T00:33:04Z-
dc.date.available2023-12-11T00:33:04Z-
dc.identifier.issn0378-4371en_US
dc.identifier.urihttp://hdl.handle.net/10397/103309-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2019 Elsevier B.V. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Hui, E. C., Chen, J., & Chan, K. K. K. (2019). House Hedging Model—which income group is more affected by risk?. Physica A: Statistical Mechanics and its Applications, 529, 121537 is available at https://doi.org/10.1016/j.physa.2019.121537.en_US
dc.subjectAgent-based simulationen_US
dc.subjectDynamic optimizationen_US
dc.subjectHomeowneren_US
dc.subjectHousing tenure choiceen_US
dc.subjectTenanten_US
dc.titleHouse hedging model : which income group is more affected by risk?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume529en_US
dc.identifier.doi10.1016/j.physa.2019.121537en_US
dcterms.abstractThis paper investigates the housing market dynamics based on the individual choices of tenants and homeowners. We integrate Han (2008)’s individual homeowners’ transaction choice model with tenants’ housing tenure choice into a single, new model, and take tenants’ and homeowners’ decision into account jointly. As a result, our new model can capture the interaction between the transaction and rental markets and hence is more realistic. The model is applicable to Hong Kong and other countries of which the rental market is a significant proportion of the whole property market. We solve the new model in an analytical way. In addition, we conduct an agent-based simulation on the model. Compared with Han (2008)’s hump-shaped life-cycle paths, our results show that the life-cycle paths are irregular. Nevertheless, the middle-income households are least affected by housing price risk. Moreover, the average Time on Market (TOM) is significantly positively affected by housing vacancy rate under the exogenous price assumption. Finally, the trend of homeownership rate in a relatively closed market is not significantly affected by the specific housing price or rent process. Policy makers can make use of our model to implement more appropriate housing policies to regulate the housing market.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysica A. Statistical mechanics and its applications, 1 Sept 2019, v. 529, 121537en_US
dcterms.isPartOfPhysica A. Statistical mechanics and its applicationsen_US
dcterms.issued2019-09-01-
dc.identifier.scopus2-s2.0-85066403445-
dc.identifier.eissn1873-2119en_US
dc.identifier.artn121537en_US
dc.description.validate202312 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0520-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe PolyU Internal Research Grantsen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24523676-
dc.description.oaCategoryGreen (AAM)en_US
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