Autor según el artículo: Lovcha Y; Perez-Laborda A
Departamento: Economia
Autor/es de la URV: Lovcha Lovcha, Yuliya / Perez Laborda, Alejandro
Palabras clave: Stock markets evidence Persistence Oil Frequency domain Diebold-yilmaz Connectedness time-series range-based estimation price persistence oil natural-gas frequency dynamics frequency domain energy markets diebold-yilmaz crude-oil connectedness clean energy
Resumen: Return volatility usually presents a degree of persistence, which, although still consistent with an essential stationary process, cannot be adequately captured by standard autoregressive specifications. In this study, we examine the transmission mechanism across petroleum volatilities accounting for this stylized fact. To do so, we compute both time and frequency domain measures of connectedness based on variance decompositions from a fractionally integrated VAR (FIVAR). Our main findings summarize: (1) there is strong evidence of long-memory in petroleum volatilities, but no evidence of infinite variances; (2) an adequate quantification of spillovers must consider long-memory persistence explicitly; (3) spillovers are relatively high, but considerably lower than predicted in the traditional short-memory framework, especially at low frequencies. Thus, accounting for long-memory has asymmetric implications for different market participants.
Áreas temáticas: Thermodynamics Renewable energy, sustainability and the environment Química Pollution Modeling and simulation Medicina iii Medicina ii Mechanical engineering Materiais Management, monitoring, policy and law Interdisciplinar Industrial and manufacturing engineering Geografía Geociências General energy Fuel technology Engineering, chemical Engenharias iv Engenharias iii Engenharias ii Engenharias i Energy engineering and power technology Energy (miscellaneous) Energy (all) Energy & fuels Electrical and electronic engineering Economia Civil and structural engineering Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Building and construction Biotecnología Biodiversidade Administração pública e de empresas, ciências contábeis e turismo
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: alejandro.perez@urv.cat yuliya.lovcha@urv.cat
Identificador del autor: 0000-0003-4247-598X 0000-0002-0481-7785
Fecha de alta del registro: 2024-02-25
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0360544221031996
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Energy. 243
Referencia de l'ítem segons les normes APA: Lovcha Y; Perez-Laborda A (2022). Long-memory and volatility spillovers across petroleum futures. Energy, 243(), -. DOI: 10.1016/j.energy.2021.122950
DOI del artículo: 10.1016/j.energy.2021.122950
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV