The valuation game : an empirical study of Portuguese startups’ success factors

Detalhes bibliográficos
Autor(a) principal: Cardoso, Maria Inês Mestre
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/41461
Resumo: Valuing startups is a complex task, as these companies often have limited financial history and uncertain future cash flows. In addition, startups are typically high­risk ventures, requiring valuation techniques that consider this higher level of risk. In this study, I examine the impact of some factors in the valuation of Portuguese startups. To do this, I developed a multiple linear regression model and created nine hypotheses on the effects of each variable on valuations. The study is based on a Portuguese startup sample and uses multiple regression analysis to test the hypotheses. The study results provide insights into the factors most important in the valuation of Portuguese startups and can inform the development of more effective valuation techniques for these companies. The factors that were found to increase valuations included having a B2B focus, having a headquarters outside of Portugal, having a SaaS business model, having registered patents, and being a Fintech company. It was also found that having a female founder or attending a top university was associated with higher valuations. However, having prior startup experience or investing in R&D did not positively impact valuations.
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spelling The valuation game : an empirical study of Portuguese startups’ success factorsVenture capitalValuationPre­money valuationStartup valuationInvestment criteriaDecision­making processScreening criteriaCapital de riscoAvaliaçãoAvaliação pre­moneyAvaliação de startupCritérios de investimentoProcesso de tomada de decisãoCritérios de triagemDomínio/Área Científica::Ciências Sociais::Economia e GestãoValuing startups is a complex task, as these companies often have limited financial history and uncertain future cash flows. In addition, startups are typically high­risk ventures, requiring valuation techniques that consider this higher level of risk. In this study, I examine the impact of some factors in the valuation of Portuguese startups. To do this, I developed a multiple linear regression model and created nine hypotheses on the effects of each variable on valuations. The study is based on a Portuguese startup sample and uses multiple regression analysis to test the hypotheses. The study results provide insights into the factors most important in the valuation of Portuguese startups and can inform the development of more effective valuation techniques for these companies. The factors that were found to increase valuations included having a B2B focus, having a headquarters outside of Portugal, having a SaaS business model, having registered patents, and being a Fintech company. It was also found that having a female founder or attending a top university was associated with higher valuations. However, having prior startup experience or investing in R&D did not positively impact valuations.A valorização de startups é uma tarefa complexa, uma vez que estas empresas têm frequentemente uma história financeira limitada e fluxos de caixa futuros incertos. Além disso, as startups são tipicamente empreendimentos de alto risco, exigindo técnicas de avaliação que consideram este nível de risco mais elevado. Neste estudo, examino o impacto de alguns fatores na avaliação de startups portuguesas. Para tal, desenvolvi um modelo de regressão linear múltipla e criei nove hipóteses sobre os efeitos de cada variável nas avaliações. O estudo baseia se numa amostra inicial portuguesa e utiliza a análise de regressão múltipla para testar as hipóteses. Os resultados do estudo fornecem informações sobre os fatores mais importantes na avaliação das empresas portuguesas em fase de arranque e podem ajudar no desenvolvimento de técnicas de avaliação mais eficazes para estas empresas. Os fatores que se verificou aumentarem as avaliações incluíram ter um foco B2B, ter uma sede fora de Portugal, ter um modelo de negócio SaaS, ter patentes registadas, e ser uma empresa Fintech. Verificou­se também que ter uma fundadora (sexo feminino) ou frequentar uma universidade de topo estava associado a avaliações mais elevadas. Contudo, ter experiência prévia de criação de startup ou investir em I&D não teve um impato positivo nas avaliações.Andrade, João Freire deVeritati - Repositório Institucional da Universidade Católica PortuguesaCardoso, Maria Inês Mestre2023-06-28T13:27:07Z2023-01-262023-012023-01-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/41461TID:203252853enginfo: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:RCAAP2023-07-12T17:47:02Zoai:repositorio.ucp.pt:10400.14/41461Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:34:09.080851Repositório 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 valuation game : an empirical study of Portuguese startups’ success factors
title The valuation game : an empirical study of Portuguese startups’ success factors
spellingShingle The valuation game : an empirical study of Portuguese startups’ success factors
Cardoso, Maria Inês Mestre
Venture capital
Valuation
Pre­money valuation
Startup valuation
Investment criteria
Decision­making process
Screening criteria
Capital de risco
Avaliação
Avaliação pre­money
Avaliação de startup
Critérios de investimento
Processo de tomada de decisão
Critérios de triagem
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short The valuation game : an empirical study of Portuguese startups’ success factors
title_full The valuation game : an empirical study of Portuguese startups’ success factors
title_fullStr The valuation game : an empirical study of Portuguese startups’ success factors
title_full_unstemmed The valuation game : an empirical study of Portuguese startups’ success factors
title_sort The valuation game : an empirical study of Portuguese startups’ success factors
author Cardoso, Maria Inês Mestre
author_facet Cardoso, Maria Inês Mestre
author_role author
dc.contributor.none.fl_str_mv Andrade, João Freire de
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Cardoso, Maria Inês Mestre
dc.subject.por.fl_str_mv Venture capital
Valuation
Pre­money valuation
Startup valuation
Investment criteria
Decision­making process
Screening criteria
Capital de risco
Avaliação
Avaliação pre­money
Avaliação de startup
Critérios de investimento
Processo de tomada de decisão
Critérios de triagem
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Venture capital
Valuation
Pre­money valuation
Startup valuation
Investment criteria
Decision­making process
Screening criteria
Capital de risco
Avaliação
Avaliação pre­money
Avaliação de startup
Critérios de investimento
Processo de tomada de decisão
Critérios de triagem
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Valuing startups is a complex task, as these companies often have limited financial history and uncertain future cash flows. In addition, startups are typically high­risk ventures, requiring valuation techniques that consider this higher level of risk. In this study, I examine the impact of some factors in the valuation of Portuguese startups. To do this, I developed a multiple linear regression model and created nine hypotheses on the effects of each variable on valuations. The study is based on a Portuguese startup sample and uses multiple regression analysis to test the hypotheses. The study results provide insights into the factors most important in the valuation of Portuguese startups and can inform the development of more effective valuation techniques for these companies. The factors that were found to increase valuations included having a B2B focus, having a headquarters outside of Portugal, having a SaaS business model, having registered patents, and being a Fintech company. It was also found that having a female founder or attending a top university was associated with higher valuations. However, having prior startup experience or investing in R&D did not positively impact valuations.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-28T13:27:07Z
2023-01-26
2023-01
2023-01-26T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/41461
TID:203252853
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dc.language.iso.fl_str_mv eng
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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
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