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Dataset for petroleum based stock markets and GAUSS codes for SAMEM
This article includes a unique data set of a balanced daily (Monday, Tuesday and Wednesday) for oil and natural gas volatility and the oil rich economies’ stock markets for Saudi Arabia, Qatar, Kuwait, Abu Dhabi, Dubai, Bahrain and Oman, using daily data over the period spanning Oct. 18, 2006–July 3...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192250/ https://www.ncbi.nlm.nih.gov/pubmed/28050584 http://dx.doi.org/10.1016/j.dib.2016.10.031 |
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author | Khalifa, Ahmed A.A. Bertuccelli, Pietro Otranto, Edoardo |
author_facet | Khalifa, Ahmed A.A. Bertuccelli, Pietro Otranto, Edoardo |
author_sort | Khalifa, Ahmed A.A. |
collection | PubMed |
description | This article includes a unique data set of a balanced daily (Monday, Tuesday and Wednesday) for oil and natural gas volatility and the oil rich economies’ stock markets for Saudi Arabia, Qatar, Kuwait, Abu Dhabi, Dubai, Bahrain and Oman, using daily data over the period spanning Oct. 18, 2006–July 30, 2015. Additionally, we have included unique GAUSS codes for estimating the spillover asymmetric multiplicative error model (SAMEM) with application to Petroleum-Based Stock Market. The data, the model and the codes have many applications in business and social science. |
format | Online Article Text |
id | pubmed-5192250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51922502017-01-03 Dataset for petroleum based stock markets and GAUSS codes for SAMEM Khalifa, Ahmed A.A. Bertuccelli, Pietro Otranto, Edoardo Data Brief Data Article This article includes a unique data set of a balanced daily (Monday, Tuesday and Wednesday) for oil and natural gas volatility and the oil rich economies’ stock markets for Saudi Arabia, Qatar, Kuwait, Abu Dhabi, Dubai, Bahrain and Oman, using daily data over the period spanning Oct. 18, 2006–July 30, 2015. Additionally, we have included unique GAUSS codes for estimating the spillover asymmetric multiplicative error model (SAMEM) with application to Petroleum-Based Stock Market. The data, the model and the codes have many applications in business and social science. Elsevier 2016-11-30 /pmc/articles/PMC5192250/ /pubmed/28050584 http://dx.doi.org/10.1016/j.dib.2016.10.031 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Khalifa, Ahmed A.A. Bertuccelli, Pietro Otranto, Edoardo Dataset for petroleum based stock markets and GAUSS codes for SAMEM |
title | Dataset for petroleum based stock markets and GAUSS codes for SAMEM |
title_full | Dataset for petroleum based stock markets and GAUSS codes for SAMEM |
title_fullStr | Dataset for petroleum based stock markets and GAUSS codes for SAMEM |
title_full_unstemmed | Dataset for petroleum based stock markets and GAUSS codes for SAMEM |
title_short | Dataset for petroleum based stock markets and GAUSS codes for SAMEM |
title_sort | dataset for petroleum based stock markets and gauss codes for samem |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192250/ https://www.ncbi.nlm.nih.gov/pubmed/28050584 http://dx.doi.org/10.1016/j.dib.2016.10.031 |
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