Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/107039
Campo DC Valoridioma
dc.contributor.authorZhou, Xinmiaoen_US
dc.contributor.authorQian, Huanhuanen_US
dc.contributor.authorPérez Rodríguez, Jorge Vicenteen_US
dc.contributor.authorGonzález Lopez-Valcarcel, Beatrizen_US
dc.date.accessioned2021-04-28T07:58:48Z-
dc.date.available2021-04-28T07:58:48Z-
dc.date.issued2020en_US
dc.identifier.issn1062-9408en_US
dc.identifier.urihttp://hdl.handle.net/10553/107039-
dc.description.abstractThis paper analyses risk-integration and the degree of dependence between the Values-at-Risk (VaRs) estimates for the two major pharmaceutical stock markets in the world: USA and China. To do this, we study the dependence and fractional cointegration properties among risks. Using daily returns for an eleven-year period, we estimated the VaRs obtained for pharmaceutical market portfolios in China (Shanghai) and the USA (NYSE) using the market model and considering both long and short trading positions. We conclude that the Shanghai pharmaceutical market is riskier than NYSE, although is predictable and losses in both markets exhibit tail dependence between VaR estimates. Particularly, there is lower tail VaR dependence for long position and upper tail dependence for short positions, both being small and fairly constant. On the other hand, we have not found fractional cointegration between risks, suggesting that China’s pharmaceutical sector is not integrated into the global pharmaceutical market.en_US
dc.languageengen_US
dc.relation.ispartofNorth American Journal of Economics and Financeen_US
dc.sourceNorth American Journal of Economics and Finance [ISSN 1062-9408], n. 52, (Abril 2020)en_US
dc.subject531207 Sanidaden_US
dc.subject.otherPharmaceutical indexesen_US
dc.subject.otherValue-at-Risken_US
dc.subject.otherCopula modelen_US
dc.subject.otherFractional cointegrationen_US
dc.titleRisk dependence and cointegration between pharmaceutical stock markets: the case of China and the USAen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typearticleen_US
dc.identifier.doi10.1016/j.najef.2020.101175en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,607
dc.description.jcr2,772
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.ssciSSCI
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-6738-9191-
crisitem.author.orcid0000-0002-5571-3257-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNamePérez Rodríguez, Jorge Vicente-
crisitem.author.fullNameGonzález Lopez-Valcarcel, Beatriz-
Colección:Artículos
Vista resumida

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.