TESTING VOLATILITY CHANGES USING GARCH MODELS IN THE CASE OF NETHERLANDS STOCK MARKET

Autor: JATIN TRIVEDI, Associate Professor, Ph.D, CRISTI SPULBAR, Professor Ph.D, RACHANA BAID, Professor Ph.D, RAMONA BIRAU, Lecturer Ph.D, ANCA IOANA IACOB (TROTO), PhD student
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, Iss 1, Pp 6-15 (2023)
Druh dokumentu: article
ISSN: 1844-7007
Popis: This study examines changes in volatility clusters and volatility patterns using GARCH class models in the Netherlands stock market in the context of the COVID-19 pandemic and global financial crisis (GFC) pandemic. The movement pattern of the AEX stock market index during the sample period from January 3, 2000 to December 2, 2022 a daily closing adjusted prices considered for the empirical investigation. The global financial crisis and the COVID-19 pandemic's effects are both included in the sample period. GARCH (1,1), GJR (1,1), and EGARCH (1,1) models are part of the econometric framework. By adding further empirical data on the long-term behavior of the Netherlands stock market, this empirical study adds to the body of current literature. We find changes in volatility after the COVID – 19 pandemic period, sharp rise in the index levels and presence of leverage effect in returns.
Databáze: Directory of Open Access Journals