The asymmetry effect on volatility during the global financial crisis

Detalhes bibliográficos
Autor(a) principal: Kovalchuk, Svyatoslav
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/19550
Resumo: The main objective of this dissertation is to investigate the asymmetric effects of shocks on volatility during the Global Financial Crisis of 2007 – 2009. Using daily logarithmic returns, we estimate univariate EGARCH and GJR models assuming three different conditional distributions: the Gaussian normal, Student’s t and Generalized Error Distribution. The stock indices under analysis, which include largest companies in the world, are S&P 500, NASDAQ, FTSE 100, DAX, CAC 40, NIKKEI 225 and HSI. The data ranges from September 15, 2006 to September 15, 2010, being split in two subsamples by the collapse of Lehman Brothers on September 15, 2008. Our results suggest that asymmetric effects are present in all stock markets analysed. In most cases, the impact becomes weaker after the Lehman Brothers bankruptcy, indicating that the negative shocks did not raise volatility as much as they did before the bankruptcy. EGARCH model with fatter tailed distributions appears to be the best in-sample predictive model. Moreover, we test the statistical significance of the change between asymmetry coefficient estimates of the EGARCH model, and conclude that the majority are not statistically significant, suggesting that the asymmetry coefficients do not depend on the sample period.
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spelling The asymmetry effect on volatility during the global financial crisisVolatilityAsymmetry effectsGlobal financial crisisStock market indicesVolatilidadeEfeito assimétricoCrise financeiraÍndices de açõesThe main objective of this dissertation is to investigate the asymmetric effects of shocks on volatility during the Global Financial Crisis of 2007 – 2009. Using daily logarithmic returns, we estimate univariate EGARCH and GJR models assuming three different conditional distributions: the Gaussian normal, Student’s t and Generalized Error Distribution. The stock indices under analysis, which include largest companies in the world, are S&P 500, NASDAQ, FTSE 100, DAX, CAC 40, NIKKEI 225 and HSI. The data ranges from September 15, 2006 to September 15, 2010, being split in two subsamples by the collapse of Lehman Brothers on September 15, 2008. Our results suggest that asymmetric effects are present in all stock markets analysed. In most cases, the impact becomes weaker after the Lehman Brothers bankruptcy, indicating that the negative shocks did not raise volatility as much as they did before the bankruptcy. EGARCH model with fatter tailed distributions appears to be the best in-sample predictive model. Moreover, we test the statistical significance of the change between asymmetry coefficient estimates of the EGARCH model, and conclude that the majority are not statistically significant, suggesting that the asymmetry coefficients do not depend on the sample period.O principal objetivo desta dissertação é investigar os efeitos assimétricos dos choques na volatilidade durante a Crise Financeira de 2007 – 2009. Usando rendibilidades logarítmicas diárias, são estimados dois modelos univariados, EGARCH e GJR, que assumem três distribuições condicionais: distribuição Gaussiana normal, Student’s t e Generalized Error Distribution. Os índices de ações analisados, que incluem grandes empresas mundiais, são S&P 500, NASDAQ, FTSE 100, DAX, CAC 40, NIKKEI 225 e HSI. O período temporal dos dados começa a 15 de setembro de 2006 até 15 de setembro de 2010, sendo dividido em dois sub-períodos pela falência do Lehman Brothers no dia 15 de setembro de 2008. Os resultados sugerem que o efeito assimétrico está presente em todos os mercados acionistas que foram analisados. De um modo geral, o impacte torna-se mais fraco depois da falência do Lehman Brothers, indicando que os choques negativos não aumentam a volatilidade tanto como aumentam antes da falência. O modelo EGARCH com distribuições de caudas pesadas, é o melhor modelo para a previsão in-sample. Adicionalmente, é testada a significância estatística das diferenças entre as estimativas dos coeficientes de assimetria do modelo EGARCH. Concluiu-se que a maioria das diferenças não é estatisticamente significativa, sugerindo assim que os coeficientes de assimetria não dependem do período temporal dos dados.2022-12-16T00:00:00Z2019-12-17T00:00:00Z2019-12-172019-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/19550TID:202359549engKovalchuk, Svyatoslavinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:30:32Zoai:repositorio.iscte-iul.pt:10071/19550Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:13:43.434668Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The asymmetry effect on volatility during the global financial crisis
title The asymmetry effect on volatility during the global financial crisis
spellingShingle The asymmetry effect on volatility during the global financial crisis
Kovalchuk, Svyatoslav
Volatility
Asymmetry effects
Global financial crisis
Stock market indices
Volatilidade
Efeito assimétrico
Crise financeira
Índices de ações
title_short The asymmetry effect on volatility during the global financial crisis
title_full The asymmetry effect on volatility during the global financial crisis
title_fullStr The asymmetry effect on volatility during the global financial crisis
title_full_unstemmed The asymmetry effect on volatility during the global financial crisis
title_sort The asymmetry effect on volatility during the global financial crisis
author Kovalchuk, Svyatoslav
author_facet Kovalchuk, Svyatoslav
author_role author
dc.contributor.author.fl_str_mv Kovalchuk, Svyatoslav
dc.subject.por.fl_str_mv Volatility
Asymmetry effects
Global financial crisis
Stock market indices
Volatilidade
Efeito assimétrico
Crise financeira
Índices de ações
topic Volatility
Asymmetry effects
Global financial crisis
Stock market indices
Volatilidade
Efeito assimétrico
Crise financeira
Índices de ações
description The main objective of this dissertation is to investigate the asymmetric effects of shocks on volatility during the Global Financial Crisis of 2007 – 2009. Using daily logarithmic returns, we estimate univariate EGARCH and GJR models assuming three different conditional distributions: the Gaussian normal, Student’s t and Generalized Error Distribution. The stock indices under analysis, which include largest companies in the world, are S&P 500, NASDAQ, FTSE 100, DAX, CAC 40, NIKKEI 225 and HSI. The data ranges from September 15, 2006 to September 15, 2010, being split in two subsamples by the collapse of Lehman Brothers on September 15, 2008. Our results suggest that asymmetric effects are present in all stock markets analysed. In most cases, the impact becomes weaker after the Lehman Brothers bankruptcy, indicating that the negative shocks did not raise volatility as much as they did before the bankruptcy. EGARCH model with fatter tailed distributions appears to be the best in-sample predictive model. Moreover, we test the statistical significance of the change between asymmetry coefficient estimates of the EGARCH model, and conclude that the majority are not statistically significant, suggesting that the asymmetry coefficients do not depend on the sample period.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-17T00:00:00Z
2019-12-17
2019-10
2022-12-16T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/19550
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dc.language.iso.fl_str_mv eng
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