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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Detalles Bibliográficos
Autores: Chen, Jinghui, Kobayashi, Masahito, McAleer, Michael
Tipo de recurso: informe técnico
Fecha de publicación:2016
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/27561
Acceso en línea:https://hdl.handle.net/20.500.14352/27561
Access Level:acceso abierto
Palabra clave:C12
C58
G01
G11
Volatility comovement
Cross-market hedging
Spillovers
Contagion.
Econometría (Economía)
Finanzas
5302 Econometría
Descripción
Sumario: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.