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  • 标题:Modeling Stock Price Volatility: Empirical Evidence from the Ho Chi Minh City Stock Exchange in Vietnam
  • 本地全文:下载
  • 作者:Cuong Thanh NGUYEN ; Manh Huu NGUYEN
  • 期刊名称:Journal of Asian Finance, Economics and Business
  • 印刷版ISSN:2288-4637
  • 电子版ISSN:2288-4645
  • 出版年度:2019
  • 卷号:6
  • 期号:3
  • 页码:19-26
  • DOI:10.13106/jafeb.2019.vol6.no3.19
  • 语种:English
  • 出版社:Korean Distribution Science Association
  • 摘要:The paper aims to measure stock price volatility on Ho Chi Minh stock exchange (HSX).We apply symmetric models (GARCH,GARCH-M) and asymmetry (EGARCH and TGARCH) to measure stock price volatility on HSX.We used time series data including the daily closed price of VN-Index during 1/03/2001–1/03/2019 with 4375 observations.The results show that GARCH (1,1) and EGARCH (1,1) models are the most suitable models to measure both symmetry and asymmetry volatility level of VN-Index.The study also provides evidence for the existence of asymmetric effects (leverage) through the parameters of TGARCH model (1,1),showing that positive shocks have a significant effect on the conditional variance (volatility).This result implies that the volatility of stock returns has a big impact on future market movements under the impact of shocks,while asymmetric volatility increase market risk,thus increase the attractiveness of the stock market.The research results are useful reference information to help investors in forecasting the expected profit rate of the HSX,and also the risks along with market fluctuations in order to take appropriate adjust to the portfolios.From this study’s results,we can see risk prediction models such as GARCH can be better used in risk forecasting especially.
  • 关键词:Volatility;GARCH (1;1);EGARCH;GARCH-M;TGARCH;VN-index
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