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Modelling stock volatilities during financial crises: A time varying coefficient approach
journal contribution
posted on 2023-06-09, 09:07 authored by Menelaos Karanasos, Alexandros G Paraskevopoulos, Faek Menla AliFaek Menla Ali, Michail Karoglou, Stavroula YfantiWe 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 model which provides the platform upon 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. © 2014.
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- Published
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- Published version
Journal
Journal of Empirical FinanceISSN
0927-5398Publisher
ElsevierExternal DOI
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29Page range
113-128Department affiliated with
- Business and Management Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-12-07First Open Access (FOA) Date
2017-12-07First Compliant Deposit (FCD) Date
2017-12-07Usage metrics
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