Is Fintech M&A Value-additive? Evidence from acquirers stock returns
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.14/35250 |
Resumo: | The following dissertation present an analysis of the effect of the short-term and long-term performance in Fintech mergers and acquisitions. The analysis focus on the performance of acquirers that acquire Fintech firms between 2018 and 2019. A sample of 79 acquiring firms is analyzed in this research and an event study was performed. The short-term performance was measured by calculating the cumulative abnormal returns (CARs) around the announcement date in four different event windows estimated by three different models. The mean cumulative abnormal returns are positive around 2% and 3%. In the research was proven that the acquisition of targets of the Fintech industry lead in general to positive and significant market reactions only with few exceptions for the Market Model and Mean-Adjusted model in one of the event windows. The short-term performance negatively depends only on the deal amount acquisition. The long-term performance was measured by calculating the buy-and-hold abnormal returns (BHARs) for 1 day after the announcement date to 200 days after the announcement date. The same methods to calculate expected returns were used as in the calculation of CARs. The buy-and hold abnormal returns are negative for the three methods used. The long-term performance negatively depends on the short-term performance. |
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Is Fintech M&A Value-additive? Evidence from acquirers stock returnsFintechMergers and AcquisitionsShort-term performanceLong-term performanceDesempenho curto prazoDesempenho longo prazoDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe following dissertation present an analysis of the effect of the short-term and long-term performance in Fintech mergers and acquisitions. The analysis focus on the performance of acquirers that acquire Fintech firms between 2018 and 2019. A sample of 79 acquiring firms is analyzed in this research and an event study was performed. The short-term performance was measured by calculating the cumulative abnormal returns (CARs) around the announcement date in four different event windows estimated by three different models. The mean cumulative abnormal returns are positive around 2% and 3%. In the research was proven that the acquisition of targets of the Fintech industry lead in general to positive and significant market reactions only with few exceptions for the Market Model and Mean-Adjusted model in one of the event windows. The short-term performance negatively depends only on the deal amount acquisition. The long-term performance was measured by calculating the buy-and-hold abnormal returns (BHARs) for 1 day after the announcement date to 200 days after the announcement date. The same methods to calculate expected returns were used as in the calculation of CARs. The buy-and hold abnormal returns are negative for the three methods used. The long-term performance negatively depends on the short-term performance.A seguinte dissertação apresenta uma análise do efeito do desempenho a curto prazo e longo prazo de Fintech Mergers and Acquisitions. A análise incide sobre o desempenho dos compradores que adquirem empresas Fintech entre 2018 e 2019. Uma amostra de 79 compradores é analisada nesta pesquisa e foi realizado um event study. O desempenho a curto prazo foi medido através do cálculo dos cumulative abnormal returns (CARs) em torno da data do anúncio da compra em quatro event windows, estimadas por três modelos diferentes. As cumulative abnormal returns médias são positivas em torno de 2% e 3%. Na pesquisa foi provado que a aquisição de alvos da indústria Fintech levou em geral a reacções de mercado positivas e significativas apenas com poucas excepções para o Market Model e o Mean Adjusted Model numa das event windows. O desempenho a curto prazo depende apenas negativamente da aquisição do montante da compra. O desempenho a longo prazo foi medido através do cálculo das buy-and-hold abnormal returns (BHARs) durante 1 dia após a data do anúncio até 200 dias após a data do anúncio. Foram utilizados os mesmos métodos para calcular os retornos esperados que no cálculo das CARs. As buy-and-hold abnormal returns são negativos para os três métodos utilizados. O desempenho a longo prazo depende negativamente do desempenho a curto prazo.Andrade, João Guerreiro Freire deVeritati - Repositório Institucional da Universidade Católica PortuguesaCarvalhosa, João Maria Freire de Andrade2021-09-27T15:53:13Z2021-02-0520202021-02-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/35250TID:202657400enginfo: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:RCAAP2023-07-12T17:40:45Zoai:repositorio.ucp.pt:10400.14/35250Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:28:35.519958Repositório 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 |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
title |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
spellingShingle |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns Carvalhosa, João Maria Freire de Andrade Fintech Mergers and Acquisitions Short-term performance Long-term performance Desempenho curto prazo Desempenho longo prazo Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
title_full |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
title_fullStr |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
title_full_unstemmed |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
title_sort |
Is Fintech M&A Value-additive? Evidence from acquirers stock returns |
author |
Carvalhosa, João Maria Freire de Andrade |
author_facet |
Carvalhosa, João Maria Freire de Andrade |
author_role |
author |
dc.contributor.none.fl_str_mv |
Andrade, João Guerreiro Freire de Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Carvalhosa, João Maria Freire de Andrade |
dc.subject.por.fl_str_mv |
Fintech Mergers and Acquisitions Short-term performance Long-term performance Desempenho curto prazo Desempenho longo prazo Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Fintech Mergers and Acquisitions Short-term performance Long-term performance Desempenho curto prazo Desempenho longo prazo Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
The following dissertation present an analysis of the effect of the short-term and long-term performance in Fintech mergers and acquisitions. The analysis focus on the performance of acquirers that acquire Fintech firms between 2018 and 2019. A sample of 79 acquiring firms is analyzed in this research and an event study was performed. The short-term performance was measured by calculating the cumulative abnormal returns (CARs) around the announcement date in four different event windows estimated by three different models. The mean cumulative abnormal returns are positive around 2% and 3%. In the research was proven that the acquisition of targets of the Fintech industry lead in general to positive and significant market reactions only with few exceptions for the Market Model and Mean-Adjusted model in one of the event windows. The short-term performance negatively depends only on the deal amount acquisition. The long-term performance was measured by calculating the buy-and-hold abnormal returns (BHARs) for 1 day after the announcement date to 200 days after the announcement date. The same methods to calculate expected returns were used as in the calculation of CARs. The buy-and hold abnormal returns are negative for the three methods used. The long-term performance negatively depends on the short-term performance. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2021-09-27T15:53:13Z 2021-02-05 2021-02-05T00:00:00Z |
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/10400.14/35250 TID:202657400 |
url |
http://hdl.handle.net/10400.14/35250 |
identifier_str_mv |
TID:202657400 |
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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1799132004587929600 |