Spillover effects between commodity and stock markets: A SDSES approach
In this paper, we use a state-dependent sensitivity expected shortfall (SDSES) approach using expectiles. This model enables us to quantify the direction, size, and persistence of risk spillovers among the US and emerging market stock indices and different individual commodities as a function of the...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/42645 |
| Acceso en línea: | https://doi.org/10.1016/j.resourpol.2022.102926 https://hdl.handle.net/10578/42645 |
| Access Level: | acceso embargado |
| Palabra clave: | CARE models Commodities Expected shortfall Financialization Risk spillovers |
| Sumario: | In this paper, we use a state-dependent sensitivity expected shortfall (SDSES) approach using expectiles. This model enables us to quantify the direction, size, and persistence of risk spillovers among the US and emerging market stock indices and different individual commodities as a function of the state of financial markets (tranquil, normal, and volatile). We obtain high and more significant spillovers and financialization process evidence in the volatile state of the post-Draghi speech and COVID-19 period, especially for the copper and wheat market. Market stock indices and commodity US market index appear to play a major role in the transmission of shocks to other markets, mainly to the wheat market. |
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