Stock market volatility and structural breaks: An empirical analysis of fragile five countries using GARCH and EGARCH models

被引:0
|
作者
Yildirim, Durmus [1 ]
Celik, Ali Kemal [2 ]
机构
[1] Ondokuz Mayis Univ, Samsun, Turkey
[2] Ardahan Univ, Ardahan, Turkey
来源
关键词
Fragile Five; Volatility; Structural Break; GARCH; EGARCH; SUDDEN CHANGES; RETURNS; IMPACT; RISK;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study aims to investigate the potential effects of structural breaks on volatility permanence and asymmetry in stock exchanges of fragile five countries. The study covers the stock market index of 12 countries that were evaluated as fragile fives by various investment institutions on different dates between January 2013 and November 2019. The GARCH and EGARCH models are used for volatility estimates, and ICSS iteration algorithm is used to detect sfructural breaks. Results of the study reveals that among the 12 stock exchanges Indonesia, India, Brazil, Russia and Turkey are the top five countries with persistent volatility in their stock market indices. According to the empirical results from the study, volatility models in which sfructural breaks were not included depicts that the permanence effect is high in Indonesia and India, however, it is relatively lower in Argentina and Egypt. In addition, asymmetric volatility and leverage effect was observed in all country indices except Argentina. While where the response to negative shocks are strongest the indices ofPakistan, Qatar, South Africa and India, the response in Russia is lower. No structural breaks were observed in South Africa, Mexico, Argentina and Qatar exchanges during the period considered in study. In addition, it wasfound that using sfructural breaks in volatility estimates increased the predictive performance of the models.
引用
收藏
页码:148 / 163
页数:16
相关论文
共 50 条
  • [1] Volatility Analysis for Chinese Stock Market Using GARCH Type Models
    Yin Zehua
    Zhang Lei
    Liu David
    [J]. DATA PROCESSING AND QUANTITATIVE ECONOMY MODELING, 2010, : 186 - 193
  • [2] Empirical Analysis of Chinese Stock Market Volatility Based on GARCH Models and Markov Switching Models
    Zou, Na
    Zhu, Jiahui
    Cai, Yanli
    [J]. PROCEEDINGS OF THE 2019 4TH INTERNATIONAL CONFERENCE ON SOCIAL SCIENCES AND ECONOMIC DEVELOPMENT (ICSSED 2019), 2019, 314 : 490 - 497
  • [3] Modeling and Forecasting Stock Market Volatility by Gaussian Processes based on GARCH, EGARCH and GJR Models
    Ou, PhichHang
    Wang, Hengshan
    [J]. WORLD CONGRESS ON ENGINEERING, WCE 2011, VOL I, 2011, : 338 - 342
  • [4] Structural breaks and GARCH models of stock return volatility: The case of South Africa
    Babikir, Ali
    Gupta, Rangan
    Mwabutwa, Chance
    Owusu-Sekyere, Emmanuel
    [J]. ECONOMIC MODELLING, 2012, 29 (06) : 2435 - 2443
  • [5] MODELLING VOLATILITY OF MALAYSIAN STOCK MARKET USING GARCH MODELS
    Omar, Nor Alwani Binti
    Halim, Faridah Abdul
    [J]. 2015 INTERNATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES AND COMPUTING RESEARCH (ISMSC), 2015, : 447 - 452
  • [6] Volatility of pakistan stock market: A comparison of Garch type models with five distribution
    Naseem, Sobia
    Fu, Gao Lei
    Mohsin, Muhammad
    Zia-ur-Rehman, Muhammad
    Baig, Sajjad Ahmad
    [J]. AMAZONIA INVESTIGA, 2018, 7 (17): : 486 - 504
  • [7] Analysis of Istanbul Stock Market Returns Volatility with ARCH and GARCH Models
    Yurttaguler, Ipek M.
    [J]. ISTANBUL IKTISAT DERGISI-ISTANBUL JOURNAL OF ECONOMICS, 2024, 74 (01): : 37 - 58
  • [8] Structural breaks and GARCH models of exchange rate volatility
    Rapach, David E.
    Strauss, Jack K.
    [J]. JOURNAL OF APPLIED ECONOMETRICS, 2008, 23 (01) : 65 - 90
  • [9] Performance of GARCH models in forecasting stock market volatility
    Chong, CW
    Ahmad, MI
    Abdullah, MY
    [J]. JOURNAL OF FORECASTING, 1999, 18 (05) : 333 - 343
  • [10] Empirical Study on Volatility of Shanghai Stock Market with GARCH Model
    Wan Zhen-zhen
    Yan Guang-le
    [J]. PROCEEDINGS OF 2009 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE & SYSTEM DYNAMICS, VOL 7, 2009, : 139 - 142