Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54402
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dc.contributor.authorPhachongchit Tibprasornen_US
dc.contributor.authorKittawit Autchariyapanitkulen_US
dc.contributor.authorSomsak Chaniamen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-04T10:12:54Z-
dc.date.available2018-09-04T10:12:54Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-84951733163en_US
dc.identifier.other10.1007/978-3-319-25135-6_15en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951733163&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54402-
dc.description.abstract© Springer International Publishing Switzerland 2015. We use the concept of a stochastic frontier in production to analyses the problem of pricing in stock markets. By modifying the classical stochastic frontier model to accommodate for errors dependency, using copulas, we show that our extended stochastic frontier model is more suitable for financial analyses. The validation is achieved by using AIC in our model selection problem.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleA copula-based stochastic frontier model for financial pricingen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume9376en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsMaejo Universityen_US
Appears in Collections:CMUL: Journal Articles

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