Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models

The paper considers the problem as to whether financial returns have a common volatility process in the framework of stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH test proposed by Engle and Susmel (1993), who investig...

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Detalhes bibliográficos
Autores: Chen, Jinghui, Kobayashi, Masahito, McAleer, Michael
Tipo de documento: relatório científico
Data de publicação:2016
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/27561
Acesso em linha:https://hdl.handle.net/20.500.14352/27561
Access Level:Acceso aberto
Palavra-chave:C12
C58
G01
G11
Volatility comovement
Cross-market hedging
Spillovers
Contagion.
Econometría (Economía)
Finanzas
5302 Econometría
Descrição
Resumo:The paper considers the problem as to whether financial returns have a common volatility process in the framework of stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH test proposed by Engle and Susmel (1993), who investigated whether international equity markets have a common volatility process. The paper also checks the hypothesis of frictionless cross-market hedging, which implies perfectly correlated volatility changes, as suggested by Fleming et al. (1998). The paper uses the technique of Chesher (1984) in differentiating an integral that contains a degenerate density function in deriving the Lagrange Multiplier test statistic.