This paper studies the performance of GARCH model and its modiยฎcations, using the rate of returns from the daily stock market indices of the Kuala Lumpur Stock Exchange (KLSE) including Composite Index, Tins Index, Plantations Index, Properties Index, and Finance Index. The models are stationary GAR
Forecasting Stock Market Volatility with Regime-Switching GARCH Models
โ Scribed by Marcucci, Juri
- Book ID
- 121423341
- Publisher
- The Berkeley Electronic Press,Walter de Gruyter GmbH & Co. KG
- Year
- 2005
- Tongue
- English
- Weight
- 616 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1081-1826
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## Abstract This paper investigates inference and volatility forecasting using a Markov switching heteroscedastic model with a fatโtailed error distribution to analyze asymmetric effects on both the conditional mean and conditional volatility of financial time series. The motivation for extending t