Stochastic frontier model in financial econometrics: A copula-based approach

© Springer International Publishing AG 2017. This study applies the principle of stochastic frontier model (SFM) to calculate the optimal frontier of the stock prices in a stock market. We use copula to measure dependence between the error terms in SFM by examining several stocks in Down Jones indus...

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Main Authors: Tibprasorn P., Autchariyapanitkul K., Sriboonchitta S.
Format: Book Series
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887682&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40797
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Institution: Chiang Mai University
id th-cmuir.6653943832-40797
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spelling th-cmuir.6653943832-407972017-09-28T04:11:30Z Stochastic frontier model in financial econometrics: A copula-based approach Tibprasorn P. Autchariyapanitkul K. Sriboonchitta S. © Springer International Publishing AG 2017. This study applies the principle of stochastic frontier model (SFM) to calculate the optimal frontier of the stock prices in a stock market. We use copula to measure dependence between the error terms in SFM by examining several stocks in Down Jones industrial. The results show that our modified stochastic frontier model is more applicable for financial econometrics. Finally, we use AIC for model selection. 2017-09-28T04:11:30Z 2017-09-28T04:11:30Z Book Series 1860949X 2-s2.0-85012887682 10.1007/978-3-319-50742-2_35 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887682&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40797
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © Springer International Publishing AG 2017. This study applies the principle of stochastic frontier model (SFM) to calculate the optimal frontier of the stock prices in a stock market. We use copula to measure dependence between the error terms in SFM by examining several stocks in Down Jones industrial. The results show that our modified stochastic frontier model is more applicable for financial econometrics. Finally, we use AIC for model selection.
format Book Series
author Tibprasorn P.
Autchariyapanitkul K.
Sriboonchitta S.
spellingShingle Tibprasorn P.
Autchariyapanitkul K.
Sriboonchitta S.
Stochastic frontier model in financial econometrics: A copula-based approach
author_facet Tibprasorn P.
Autchariyapanitkul K.
Sriboonchitta S.
author_sort Tibprasorn P.
title Stochastic frontier model in financial econometrics: A copula-based approach
title_short Stochastic frontier model in financial econometrics: A copula-based approach
title_full Stochastic frontier model in financial econometrics: A copula-based approach
title_fullStr Stochastic frontier model in financial econometrics: A copula-based approach
title_full_unstemmed Stochastic frontier model in financial econometrics: A copula-based approach
title_sort stochastic frontier model in financial econometrics: a copula-based approach
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887682&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40797
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