Publication:
Testing for central dominance: Method and application

cris.lastimport.scopus2025-05-25T21:53:09Z
cris.virtual.departmentFinanceen_US
cris.virtual.departmentInstitute of Statistics and Data Scienceen_US
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department67f7733c-a80a-473f-a640-b6e69fca4bb0
cris.virtualsource.department67f7733c-a80a-473f-a640-b6e69fca4bb0
cris.virtualsource.orcid67f7733c-a80a-473f-a640-b6e69fca4bb0
dc.contributor.authorChuang O.-C.en_US
dc.contributor.authorKuan C.-M.en_US
dc.contributor.authorCHUNG-MING KUANen_US
dc.creatorTzeng L.Y.;Kuan C.-M.;Chuang O.-C.
dc.date.accessioned2019-07-22T07:00:30Z
dc.date.available2019-07-22T07:00:30Z
dc.date.issued2017
dc.description.abstractCentral dominance (CD) introduced in Gollier (1995, Journal of Economic Theory) is a risk concept that differs from stochastic dominance (SD) in an important way. In particular, CD implies a deterministic comparative static of a change in decision when risk changes, but SD does not have such an implication. In this paper, we propose the first test of central dominance, which amounts to checking a functional inequality. We derive the asymptotic distribution of a lower bound of the proposed test and suggest a bootstrap procedure to compute the critical values. We also conduct simulations to evaluate the performance of this test. Our empirical study finds clear evidence of CD relations between the S&P 500 index return distributions during 2001¡V2013 and results in unambiguous implications for investment decisions. ? 2016 Elsevier B.V.
dc.identifier.doi10.1016/j.jeconom.2016.07.008
dc.identifier.issn03044076
dc.identifier.scopus2-s2.0-85028255696
dc.identifier.urihttps://scholars.lib.ntu.edu.tw/handle/123456789/414413
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028255696&doi=10.1016%2fj.jeconom.2016.07.008&partnerID=40&md5=1180228c14b7671fd5c4e4980aaf56b5
dc.languageEnglish
dc.relation.ispartofJournal of Econometrics
dc.relation.journalissue2
dc.relation.journalvolume196
dc.relation.pages368-378
dc.subjectCentral dominance
dc.subjectContact set
dc.subjectFunctional inequality
dc.subjectPortfolio selection
dc.subjectStochastic dominance
dc.subject.classification[SDGs]SDG10
dc.subject.otherInvestments; Stochastic systems; Asymptotic distributions; Central dominance; Comparative statics; Empirical studies; Functional inequalities; Investment decisions; Portfolio selection; Stochastic Dominance; Economics
dc.titleTesting for central dominance: Method and applicationen_US
dc.typejournal articleen
dspace.entity.typePublication

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