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DC Field | Value | Language |
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dc.contributor.author | Menla Ali, F | - |
dc.contributor.author | Karanasos, M | - |
dc.contributor.author | Paraskevopoulos, AG | - |
dc.contributor.author | Karoglou, M | - |
dc.contributor.author | Yfanti, S | - |
dc.date.accessioned | 2015-03-10T11:21:59Z | - |
dc.date.available | 2014 | - |
dc.date.available | 2015-03-10T11:21:59Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Journal of Empirical Finance, 29: 113 - 128, (December 2014) | en_US |
dc.identifier.issn | 0927-5398 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0927539814000760# | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/10372 | - |
dc.description.abstract | We examine how the most prevalent stochastic properties of key financial time series have been affected during the recent financial crises. In particular we focus on changes associated with the remarkable economic events of the last two decades in the volatility dynamics, including the underlying volatility persistence and volatility spillover structure. Using daily data from several key stock market indices, the results of our bivariate GARCH models show the existence of time varying correlations as well as time varying shock and volatility spillovers between the returns of FTSE and DAX, and those of NIKKEI and Hang Seng, which became more prominent during the recent financial crisis. Our theoretical considerations on the time varying modelwhich provides the platformupon which we integrate our multifaceted empirical approaches are also of independent interest. In particular, we provide the general solution for time varying asymmetric GARCH specifications, which is a long standing research topic. This enables us to characterize these models by deriving, first, their multistep ahead predictors, second, the first two time varying unconditional moments, and third, their covariance structure. | en_US |
dc.description.sponsorship | Open Access funded by European Research Council under a Creative Commons license. | en_US |
dc.format.extent | 113 - 128 | - |
dc.format.extent | 113 - 128 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Financial crisis | en_US |
dc.subject | Time varying GARCH models | en_US |
dc.subject | Structural breaks | en_US |
dc.subject | Volatility spillovers | en_US |
dc.title | Modelling stock volatilities during financial crises: A time varying coefficient approach | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.jempfin.2014.08.002 | - |
dc.relation.isPartOf | Journal of Empirical Finance | - |
dc.relation.isPartOf | Journal of Empirical Finance | - |
pubs.volume | 29 | - |
pubs.volume | 29 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance/Economics and Finance | - |
Appears in Collections: | Dept of Economics and Finance Research Papers |
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FullText.pdf | 584.26 kB | Adobe PDF | View/Open |
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