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Asymmetries in volatility and perturbations in volatility models

Grant number: 11/02881-9
Support Opportunities:Scholarships in Brazil - Master
Start date: August 01, 2011
End date: July 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Statistics
Principal Investigator:Luiz Koodi Hotta
Grantee:Daniel de Almeida
Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated scholarship(s):12/09597-7 - Asymmetries in volatility and perturbations in multivariate GARCH models, BE.EP.MS

Abstract

The dissertation considers two type of asymmetry found in financial time series, the asymmetry of the perturbations and in the volatility, known as leverage effect. The first asymmetry consider one of the stylized facts found in most financial time series, where the left tails is heavier than the right tail. The leverage effect comes from the fact that the market react differently from losses and gains. It is considered the most popular volatility models, the GARCH and Stochastic Volatility models. The asymmetries will be considered separately and jointly, both for the univariate and multivariate cases. The application will consider simulated and real data. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DANIEL DE ALMEIDA; LUIZ K. HOTTA. THE LEVERAGE EFFECT AND THE ASYMMETRY OF THE ERROR DISTRIBUTION IN GARCH-BASED MODELS: THE CASE OF BRAZILIAN MARKET RELATED SERIES. Pesquisa Operacional, v. 34, n. 2, p. 237-250, . (08/51097-6, 11/02881-9)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
ALMEIDA, Daniel de. Leverage effect and asymmetry of the error distribution in volatility models. 2013. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica Campinas, SP.