Capital asset pricing model using copula based sur for interval-valued energy index
© 2018 IEEE. The objective of this paper is to analyze risk, return and dependency of energy index based in CAPM with copula based Seemingly Unrelated Regression (SUR) model and convex combination interval-valued data. The data are daily maximum and minimum of MSCI US, UK and EU energy index start f...
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th-cmuir.6653943832-586032018-09-05T04:26:46Z Capital asset pricing model using copula based sur for interval-valued energy index Roengchai Tansuchat Decision Sciences © 2018 IEEE. The objective of this paper is to analyze risk, return and dependency of energy index based in CAPM with copula based Seemingly Unrelated Regression (SUR) model and convex combination interval-valued data. The data are daily maximum and minimum of MSCI US, UK and EU energy index start from Feb 12, 2001 to Dec 22, 2017 for a total of 4,404 observations. The results show that Gaussian is the most appropriate copula family for data with proper distribution of each CAPM equation is student-t. The copula dependency between EU-UK is positive and high value (0.7392) while EU- US and UK-US are positive and low value (0.0803 and 0.036, respectively). The beta risk of EU and UK is high 0.8 while of US is 1.05. 2018-09-05T04:26:46Z 2018-09-05T04:26:46Z 2018-06-21 Conference Proceeding 2-s2.0-85050126153 10.1109/INFOMAN.2018.8392803 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050126153&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58603 |
| institution |
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| building |
Chiang Mai University Library |
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Thailand |
| collection |
CMU Intellectual Repository |
| topic |
Decision Sciences |
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Decision Sciences Roengchai Tansuchat Capital asset pricing model using copula based sur for interval-valued energy index |
| description |
© 2018 IEEE. The objective of this paper is to analyze risk, return and dependency of energy index based in CAPM with copula based Seemingly Unrelated Regression (SUR) model and convex combination interval-valued data. The data are daily maximum and minimum of MSCI US, UK and EU energy index start from Feb 12, 2001 to Dec 22, 2017 for a total of 4,404 observations. The results show that Gaussian is the most appropriate copula family for data with proper distribution of each CAPM equation is student-t. The copula dependency between EU-UK is positive and high value (0.7392) while EU- US and UK-US are positive and low value (0.0803 and 0.036, respectively). The beta risk of EU and UK is high 0.8 while of US is 1.05. |
| format |
Conference Proceeding |
| author |
Roengchai Tansuchat |
| author_facet |
Roengchai Tansuchat |
| author_sort |
Roengchai Tansuchat |
| title |
Capital asset pricing model using copula based sur for interval-valued energy index |
| title_short |
Capital asset pricing model using copula based sur for interval-valued energy index |
| title_full |
Capital asset pricing model using copula based sur for interval-valued energy index |
| title_fullStr |
Capital asset pricing model using copula based sur for interval-valued energy index |
| title_full_unstemmed |
Capital asset pricing model using copula based sur for interval-valued energy index |
| title_sort |
capital asset pricing model using copula based sur for interval-valued energy index |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050126153&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58603 |
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