Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour
Autor(a) principal: | |
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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/10362/133423 |
Resumo: | Traditional finance theory rests on the assumption that investors are rational in aggregation. However, a wealth of behavioural finance research has shown this not to be the case. This paper examines whether biases that have been evidenced to impact individual’s behaviour can be witnessed in the stock market as a whole, and whether these can be utilised as a bellwether to future price changes. The results mirror the findings of the behaviourists, evidencing a susceptibility to biases among investors, and a promising forecasting ability when incorporated into a systematic volatility trading model. |
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Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviourAsset pricingInvestingDomínio/Área Científica::Ciências Sociais::Economia e GestãoTraditional finance theory rests on the assumption that investors are rational in aggregation. However, a wealth of behavioural finance research has shown this not to be the case. This paper examines whether biases that have been evidenced to impact individual’s behaviour can be witnessed in the stock market as a whole, and whether these can be utilised as a bellwether to future price changes. The results mirror the findings of the behaviourists, evidencing a susceptibility to biases among investors, and a promising forecasting ability when incorporated into a systematic volatility trading model.Ribeiro, Gonçalo SommerRUNAndrews, Pete2022-02-23T11:48:57Z2021-06-292021-05-202021-06-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/133423TID:202769674enginfo: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:RCAAP2024-03-11T05:12:02Zoai:run.unl.pt:10362/133423Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:47.590150Repositório 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 |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
title |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
spellingShingle |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour Andrews, Pete Asset pricing Investing Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
title_full |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
title_fullStr |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
title_full_unstemmed |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
title_sort |
Trading on mood? Analysing the efficacy of sentiment and behavioural biases in predicting stock market movements and investor behaviour |
author |
Andrews, Pete |
author_facet |
Andrews, Pete |
author_role |
author |
dc.contributor.none.fl_str_mv |
Ribeiro, Gonçalo Sommer RUN |
dc.contributor.author.fl_str_mv |
Andrews, Pete |
dc.subject.por.fl_str_mv |
Asset pricing Investing Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Asset pricing Investing Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Traditional finance theory rests on the assumption that investors are rational in aggregation. However, a wealth of behavioural finance research has shown this not to be the case. This paper examines whether biases that have been evidenced to impact individual’s behaviour can be witnessed in the stock market as a whole, and whether these can be utilised as a bellwether to future price changes. The results mirror the findings of the behaviourists, evidencing a susceptibility to biases among investors, and a promising forecasting ability when incorporated into a systematic volatility trading model. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-29 2021-05-20 2021-06-29T00:00:00Z 2022-02-23T11:48:57Z |
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/10362/133423 TID:202769674 |
url |
http://hdl.handle.net/10362/133423 |
identifier_str_mv |
TID:202769674 |
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 |
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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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1799138080754499584 |