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What is GARCH

Applied Econometric Analysis: Emerging Research and Opportunities
Generalized Autoregressive Conditional Heteroskedasticity (GARCH) process is an econometric term developed in 1982 by Robert F. Engle to describe an approach to estimate volatility in financial markets.
Published in Chapter:
Macroeconomic Suprises and the Turkish Financial Market
Ayşegül İşcanoğlu Çekiç (Trakya University, Turkey) and Havva Gültekin (Trakya University, Turkey)
Copyright: © 2020 |Pages: 29
DOI: 10.4018/978-1-7998-1093-3.ch004
Abstract
In the study, the authors investigate the impacts of macroeconomic news originating from Turkey, US, Euro Zone, and China on the Turkish financial market. They consider Purchasing Managers Indices and Gross Domestic Product growth rates as macroeconomic news. The study covers the period from May 4, 2015 to January 1, 2019, and six sectoral indices are included into the analysis. The findings show that impacts of macroeconomic surprises on abnormal returns are significant for all the sectors except Holdings and Investments and Insurance. The authors also provide evidence that the impacts of macroeconomic surprises on volatilities are significant for only Holdings and Investments and Technology.
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Determinants of Carbon Emission Prices: Evidence From the European Union
Generalized autoregressive conditionally heteroscedastic.
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