Dynamics in stock return volatility and spillover effects: Does firm size matter?

Detalhes bibliográficos
Autor(a) principal: Antunes, Francisco da Silva
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/24210
Resumo: This dissertation explores the relationship between firm size and equity volatility. Working from a solid ground that indicates the existence of a size effect in Banz (1981) and Reinganum (1981), we test two related topics. At first, whether an asymmetric effect in returns’ volatility is linked to firm size and firm’s industrial sector. Secondly, the existence of spillover effects between large and small market capitalization firms. By comparing different ARCH type models, we find that good and bad news have different impacts on volatility, as the asymmetric specifications outperform the symmetric GARCH model. In addition, our empirical results show that such dynamic is stronger in large-cap firms, but it may vary according to the firm’s sector. This study also signals a strong co-movement between large and small firms, as both display a similar dynamic in volatility and a strong correlation, especially in periods of financial turmoil. Using multivariate GARCH models, we end up unveiling an asymmetric behaviour not only in volatility but also in conditional correlation. All ARCH type models are employed to the returns’ volatility of S&P500 Index, Russel 2000 Index, and their respective industry sectors over the 2006-2020 period.
id RCAP_5f02ea5debde3edf14d462ebe74495ae
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/24210
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Dynamics in stock return volatility and spillover effects: Does firm size matter?Volatilidade -- VolatilitySpillover effectsUnivariate GARCHMultivariate GARCHDimensão da empresa -- Size of the companyEfeitos de repercussãoGARCH univariadoGARCH multivariadoThis dissertation explores the relationship between firm size and equity volatility. Working from a solid ground that indicates the existence of a size effect in Banz (1981) and Reinganum (1981), we test two related topics. At first, whether an asymmetric effect in returns’ volatility is linked to firm size and firm’s industrial sector. Secondly, the existence of spillover effects between large and small market capitalization firms. By comparing different ARCH type models, we find that good and bad news have different impacts on volatility, as the asymmetric specifications outperform the symmetric GARCH model. In addition, our empirical results show that such dynamic is stronger in large-cap firms, but it may vary according to the firm’s sector. This study also signals a strong co-movement between large and small firms, as both display a similar dynamic in volatility and a strong correlation, especially in periods of financial turmoil. Using multivariate GARCH models, we end up unveiling an asymmetric behaviour not only in volatility but also in conditional correlation. All ARCH type models are employed to the returns’ volatility of S&P500 Index, Russel 2000 Index, and their respective industry sectors over the 2006-2020 period.Esta dissertação investiga a relação entre a dimensão de uma empresa e a volatilidade das ações. Partindo de uma base sólida de conhecimentos que indicam a existência de um fator dimensão em Banz (1981) e Reinganum (1981), testamos dois temas conexos. Inicialmente, se a assimetria na volatilidade das rendibilidades está associada ao tamanho da empresa e ao setor em que opera. Posteriormente, a existência de efeitos de repercussão entre empresas com elevado e baixo valor de mercado. Ao comparar diferentes modelos ARCH, descobrimos que boas e más notícias geram impactos distintos na volatilidade, já que as especificações assimétricas são superiores ao modelo GARCH simétrico. Os resultados mostram ainda que esta dinâmica é mais significativa em grandes empresas, mas que pode variar conforme o setor. Este estudo revela também um elevado co-movimento entre grandes e pequenas empresas, já que ambas demonstram dinâmicas similares na volatilidade e uma forte correlação, especialmente em períodos de forte instabilidade financeira. Desta forma, através de um GARCH multivariado, acabamos por confirmar um comportamento assimétrico não só na volatilidade, mas também na correlação. Os modelos ARCH implementados modelam a volatilidade dos retornos do índice S&P500, do índice Russel 2000 e dos respetivos sectores para o período 2006-2020.2022-01-20T14:43:11Z2021-12-15T00:00:00Z2021-12-152021-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/24210TID:202841936engAntunes, Francisco da Silvainfo: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:RCAAP2023-11-09T17:52:07Zoai:repositorio.iscte-iul.pt:10071/24210Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:25:56.264559Repositório 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 Dynamics in stock return volatility and spillover effects: Does firm size matter?
title Dynamics in stock return volatility and spillover effects: Does firm size matter?
spellingShingle Dynamics in stock return volatility and spillover effects: Does firm size matter?
Antunes, Francisco da Silva
Volatilidade -- Volatility
Spillover effects
Univariate GARCH
Multivariate GARCH
Dimensão da empresa -- Size of the company
Efeitos de repercussão
GARCH univariado
GARCH multivariado
title_short Dynamics in stock return volatility and spillover effects: Does firm size matter?
title_full Dynamics in stock return volatility and spillover effects: Does firm size matter?
title_fullStr Dynamics in stock return volatility and spillover effects: Does firm size matter?
title_full_unstemmed Dynamics in stock return volatility and spillover effects: Does firm size matter?
title_sort Dynamics in stock return volatility and spillover effects: Does firm size matter?
author Antunes, Francisco da Silva
author_facet Antunes, Francisco da Silva
author_role author
dc.contributor.author.fl_str_mv Antunes, Francisco da Silva
dc.subject.por.fl_str_mv Volatilidade -- Volatility
Spillover effects
Univariate GARCH
Multivariate GARCH
Dimensão da empresa -- Size of the company
Efeitos de repercussão
GARCH univariado
GARCH multivariado
topic Volatilidade -- Volatility
Spillover effects
Univariate GARCH
Multivariate GARCH
Dimensão da empresa -- Size of the company
Efeitos de repercussão
GARCH univariado
GARCH multivariado
description This dissertation explores the relationship between firm size and equity volatility. Working from a solid ground that indicates the existence of a size effect in Banz (1981) and Reinganum (1981), we test two related topics. At first, whether an asymmetric effect in returns’ volatility is linked to firm size and firm’s industrial sector. Secondly, the existence of spillover effects between large and small market capitalization firms. By comparing different ARCH type models, we find that good and bad news have different impacts on volatility, as the asymmetric specifications outperform the symmetric GARCH model. In addition, our empirical results show that such dynamic is stronger in large-cap firms, but it may vary according to the firm’s sector. This study also signals a strong co-movement between large and small firms, as both display a similar dynamic in volatility and a strong correlation, especially in periods of financial turmoil. Using multivariate GARCH models, we end up unveiling an asymmetric behaviour not only in volatility but also in conditional correlation. All ARCH type models are employed to the returns’ volatility of S&P500 Index, Russel 2000 Index, and their respective industry sectors over the 2006-2020 period.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-15T00:00:00Z
2021-12-15
2021-10
2022-01-20T14:43:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/24210
TID:202841936
url http://hdl.handle.net/10071/24210
identifier_str_mv TID:202841936
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134822618103808