Autor segons l'article: Aslanidis, N; Christiansen, C; Kouretas, GP
Departament: Economia
Autor/s de la URV: Aslanidis, Nektarios
Paraules clau: International stock returns Factor models Economic policy uncertainty Downside risk
Resum: We conduct an international analysis of the cross-sectional risk premiums of uncertainty risk factors in addition to traditional risk factors. We consider international stock markets in five regions separately. We measure uncertainty by the local and US economic policy uncertainty indices. Economic policy uncertainty risk has negative risk premiums. This implies that investors get lower returns for assets with high uncertainty betas. We further analyze a nonlinear relationship between excess returns and uncertainty risk by adding the downside economic policy uncertainty risk factor which captures high levels of uncertainty, similar to downside market risk. The downside uncertainty risk factor has negative risk premiums.
Àrees temàtiques: Saúde coletiva Operations research & management science Medicina i Matemática / probabilidade e estatística Management science and operations research Interdisciplinar General decision sciences Ensino Engenharias iv Engenharias iii Engenharias i Economia Decision sciences (miscellaneous) Decision sciences (all) Ciencias sociales Ciências agrárias i Ciência da computação Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: nektarios.aslanidis@urv.cat nektarios.aslanidis@urv.cat
Identificador de l'autor: 0000-0001-8990-920X 0000-0001-8990-920X
Data d'alta del registre: 2023-12-17
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Referència a l'article segons font original: Annals Of Operations Research.
Referència de l'ítem segons les normes APA: Aslanidis, N; Christiansen, C; Kouretas, GP (2023). The effects of high uncertainty risk on international stock markets. Annals Of Operations Research, (), -. DOI: 10.1007/s10479-023-05664-0
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1007/s10479-023-05664-0
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2023
Tipus de publicació: Journal Publications