Dataset for petroleum based stock markets and GAUSS codes for SAMEM

Autor: Ahmed A.A. Khalifa, Pietro Bertuccelli, Edoardo Otranto
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Data in Brief, Vol 10, Iss C, Pp 421-425 (2017)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2016.10.031
Popis: 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.
Databáze: Directory of Open Access Journals