Volatility Estimation and Forecasting During Crisis Periods: A Study Comparing GARCH Models with Semiparametric Additive Models

In this paper, we compare semiparametric additive models with GARCH models in terms of their capability to estimate and forecast volatility during crisis periods. Our Monte Carlo studies indicate a better performance for GARCH models when their functional forms do not differ from that of the specifi...

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Bibliographic Details
Main Authors: Douglas Gomes dos Santos, Flávio Augusto Ziegelmann
Format: Article
Language:English
Published: Brazilian Society of Finance 2012-04-01
Series:Revista Brasileira de Finanças
Subjects:
Online Access:http://bibliotecadigital.fgv.br/ojs/index.php/rbfin/article/view/3321/2451