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dc.contributor.author안재윤*
dc.date.accessioned2018-11-22T16:30:33Z-
dc.date.available2018-11-22T16:30:33Z-
dc.date.issued2017*
dc.identifier.issn2300-2298*
dc.identifier.otherOAK-23828*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/246972-
dc.description.abstractHerd behavior is an important economic phenomenon, especially in the context of the recent financial crises. Prior studies propose several measures to quantify herd behavior. In this paper, we show that these measures reffiect different perspectives on this behavior, and hence, their interpretation requires great care. Taking a critical attitude toward existing herd behavior measures, we study their properties and pitfalls in detail. © 2017 Piotr Jaworski, published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.*
dc.languageEnglish*
dc.publisherDe Gruyter Open Ltd*
dc.subjectComonotonicity*
dc.subjectCopula*
dc.subjectHerd behavior*
dc.subjectHerd behavior index*
dc.titleMeasuring herd behavior: Properties and pitfalls*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume5*
dc.relation.indexSCOPUS*
dc.relation.startpage316*
dc.relation.lastpage329*
dc.relation.journaltitleDependence Modeling*
dc.identifier.doi10.1515/demo-2017-0019*
dc.identifier.scopusid2-s2.0-85044151861*
dc.author.googleLee W.*
dc.author.googleAhn J.Y.*
dc.contributor.scopusid안재윤(36472886700)*
dc.date.modifydate20260702140301*
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자연과학대학 > 통계학전공 > Journal papers
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