Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?

This paper investigates the presence of time-varying causal linkages in mean and variance between oil price changes and stock returns for six major oil-importing countries (France, Germany, Italy, Spain, the UK and the US) in a multiscale framework that combines wavelet analysis and a modified versi...

ver descrição completa

Detalhes bibliográficos
Autores: Jammazi, Rania, Ferrer Lapeña, Román, Jareño Cebrián, Francisco, Shahzad, Syed Jawad Hussain
Tipo de documento: artigo
Data de publicação:2017
País:España
Recursos:Universidad de Castilla-La Mancha
Repositório:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/14611
Acesso em linha:https://doi.org/10.1016/j.iref.2017.03.007
http://hdl.handle.net/10578/14611
Access Level:Acceso aberto
Palavra-chave:Oil price
Stock returns
Wavelet analysis
Granger causality
Descrição
Resumo:This paper investigates the presence of time-varying causal linkages in mean and variance between oil price changes and stock returns for six major oil-importing countries (France, Germany, Italy, Spain, the UK and the US) in a multiscale framework that combines wavelet analysis and a modified version of the dynamic causality test of Lu et al. (2014). The results show significant bidirectional causal relations between oil and stock markets at the different time horizons for all countries. The causal links tend to be stronger at coarser scales and in periods of financial turmoil, mainly during the recent global financial and European sovereign debt crises. This evidence provides useful insights to participants in oil and stock markets and to policymakers