The Political Economy of Volatility Dynamics in the Hong Kong Stock Market

Despite its obvious importance, little empirical research has examined the impact of political risk on stock market volatility. This paper uses data on the Hong Kong stock market over a long sample period to investigate whether political risk has induced regime shifts in stock market volatility. Reg...

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Main Authors: Fong, W. M., Koh, Seng Kee, Benedict
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2002
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2536
https://doi.org/10.1023/a:1024133632104
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spelling sg-smu-ink.lkcsb_research-35352016-02-12T02:46:29Z The Political Economy of Volatility Dynamics in the Hong Kong Stock Market Fong, W. M. Koh, Seng Kee, Benedict Despite its obvious importance, little empirical research has examined the impact of political risk on stock market volatility. This paper uses data on the Hong Kong stock market over a long sample period to investigate whether political risk has induced regime shifts in stock market volatility. Regime shifts are modelled via a Markov switching EGARCH model that allows for regime-dependent volatility asymmetry. We find strong evidence of regime shifts in conditional volatility as well as significant volatility asymmetry in high volatility periods. Major political uncertainties were reflected in a switch to the high-volatility regime. However, contrary to popular perceptions, we find no evidence that the Hong Kong stock market has become persistently more volatile since the start of Sino-British political negotiations in 1982. 2002-09-01T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2536 info:doi/10.1023/a:1024133632104 https://doi.org/10.1023/a:1024133632104 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Finance and Financial Management
Portfolio and Security Analysis
spellingShingle Finance and Financial Management
Portfolio and Security Analysis
Fong, W. M.
Koh, Seng Kee, Benedict
The Political Economy of Volatility Dynamics in the Hong Kong Stock Market
description Despite its obvious importance, little empirical research has examined the impact of political risk on stock market volatility. This paper uses data on the Hong Kong stock market over a long sample period to investigate whether political risk has induced regime shifts in stock market volatility. Regime shifts are modelled via a Markov switching EGARCH model that allows for regime-dependent volatility asymmetry. We find strong evidence of regime shifts in conditional volatility as well as significant volatility asymmetry in high volatility periods. Major political uncertainties were reflected in a switch to the high-volatility regime. However, contrary to popular perceptions, we find no evidence that the Hong Kong stock market has become persistently more volatile since the start of Sino-British political negotiations in 1982.
format text
author Fong, W. M.
Koh, Seng Kee, Benedict
author_facet Fong, W. M.
Koh, Seng Kee, Benedict
author_sort Fong, W. M.
title The Political Economy of Volatility Dynamics in the Hong Kong Stock Market
title_short The Political Economy of Volatility Dynamics in the Hong Kong Stock Market
title_full The Political Economy of Volatility Dynamics in the Hong Kong Stock Market
title_fullStr The Political Economy of Volatility Dynamics in the Hong Kong Stock Market
title_full_unstemmed The Political Economy of Volatility Dynamics in the Hong Kong Stock Market
title_sort political economy of volatility dynamics in the hong kong stock market
publisher Institutional Knowledge at Singapore Management University
publishDate 2002
url https://ink.library.smu.edu.sg/lkcsb_research/2536
https://doi.org/10.1023/a:1024133632104
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