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DC Field | Value | Language |
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dc.contributor.author | Phachongchit Tibprasorn | en_US |
dc.contributor.author | Kittawit Autchariyapanitkul | en_US |
dc.contributor.author | Somsak Chaniam | en_US |
dc.contributor.author | Songsak Sriboonchitta | en_US |
dc.date.accessioned | 2018-09-04T10:12:53Z | - |
dc.date.available | 2018-09-04T10:12:53Z | - |
dc.date.issued | 2015-01-01 | en_US |
dc.identifier.issn | 03029743 | en_US |
dc.identifier.other | 2-s2.0-84951194376 | en_US |
dc.identifier.other | 10.1007/978-3-319-25135-6-15 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951194376&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/54400 | - |
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.subject | Computer Science | en_US |
dc.subject | Mathematics | en_US |
dc.title | A copula-based stochastic frontier model for financial pricing | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) | en_US |
article.volume | 9376 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | Maejo University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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