Volatility forecasting : the role of financial news in forecasting stock market volatility
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.14/22084 |
Resumo: | This article aims to provide a comprehensive analysis of the influence of financial news on the stock market implied volatility. We analyse each of the constituent stocks from the Dow Jones Industrial Average Index, the S&P 500 Index and use the number of firm-specific news released in the FT.com as a proxy for the information flow. To forecast the implied volatility we employ not only OLS regressions but also Neural Networks regressions. Our analysis reveals that the average number of news in the previous month is relevant in forecasting the volatility for the next month, leading to improved Out-of-Sample performances. |
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Volatility forecasting : the role of financial news in forecasting stock market volatilityDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis article aims to provide a comprehensive analysis of the influence of financial news on the stock market implied volatility. We analyse each of the constituent stocks from the Dow Jones Industrial Average Index, the S&P 500 Index and use the number of firm-specific news released in the FT.com as a proxy for the information flow. To forecast the implied volatility we employ not only OLS regressions but also Neural Networks regressions. Our analysis reveals that the average number of news in the previous month is relevant in forecasting the volatility for the next month, leading to improved Out-of-Sample performances.Cet article a pour objectif d’analyser l’influence des nouvelles financières sur la volatilité implicite du marché boursier. Nous analysons toutes les valeurs du DJII et le S&P 500 Index ainsi que le nombre de nouvelles publiées dans le FT.com comme une mesure du flux d’informations. Pour faire ces estimations, nous utilisons les régressions OLS et les régressions Neural Networks. Nos résultats montrent que la moyenne des nouvelles du mois précédent est pertinente pour prévoir la volatilité du prochain mois, conduisant à meilleures performances hors de l’échantillon analysé.Bunkanwanicha, PramuanKokkonen, JoniVeritati - Repositório Institucional da Universidade Católica PortuguesaDias, Tiago Bento da Rocha Baptista2017-04-27T08:13:34Z2015-07-2320142015-07-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/22084TID:201181835enginfo: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:RCAAP2024-02-06T01:36:05Zoai:repositorio.ucp.pt:10400.14/22084Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:18:25.597568Repositório 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 |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
title |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
spellingShingle |
Volatility forecasting : the role of financial news in forecasting stock market volatility Dias, Tiago Bento da Rocha Baptista Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
title_full |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
title_fullStr |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
title_full_unstemmed |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
title_sort |
Volatility forecasting : the role of financial news in forecasting stock market volatility |
author |
Dias, Tiago Bento da Rocha Baptista |
author_facet |
Dias, Tiago Bento da Rocha Baptista |
author_role |
author |
dc.contributor.none.fl_str_mv |
Bunkanwanicha, Pramuan Kokkonen, Joni Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Dias, Tiago Bento da Rocha Baptista |
dc.subject.por.fl_str_mv |
Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
This article aims to provide a comprehensive analysis of the influence of financial news on the stock market implied volatility. We analyse each of the constituent stocks from the Dow Jones Industrial Average Index, the S&P 500 Index and use the number of firm-specific news released in the FT.com as a proxy for the information flow. To forecast the implied volatility we employ not only OLS regressions but also Neural Networks regressions. Our analysis reveals that the average number of news in the previous month is relevant in forecasting the volatility for the next month, leading to improved Out-of-Sample performances. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2015-07-23 2015-07-23T00:00:00Z 2017-04-27T08:13:34Z |
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/10400.14/22084 TID:201181835 |
url |
http://hdl.handle.net/10400.14/22084 |
identifier_str_mv |
TID:201181835 |
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 |
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1799131874889564160 |