Modelling stock volatilities during financial crises: A time varying coefficient approach

Karanasos, Menelaos, Paraskevopoulos, Alexandros G, Menla Ali, Faek, Karoglou, Michail and Yfanti, Stavroula (2014) Modelling stock volatilities during financial crises: A time varying coefficient approach. Journal of Empirical Finance, 29. pp. 113-128. ISSN 0927-5398

[img] PDF - Published Version
Available under License Creative Commons Attribution.

Download (668kB)

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 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.

Item Type: Article
Schools and Departments: School of Business, Management and Economics > Business and Management
Depositing User: Joy Blake
Date Deposited: 07 Dec 2017 11:50
Last Modified: 06 Apr 2018 14:44
URI: http://sro.sussex.ac.uk/id/eprint/71703

View download statistics for this item

📧 Request an update