Finanças Comportamentais

Código:

2MiF22

Sigla:

FC

Áreas Científicas
Classificação	Área Científica
OFICIAL	Estudos de Gestão

Ocorrência: 2021/2022 - 2S

Ativa?	Sim
Curso/CE Responsável:	Mestrado em Finanças

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
MIF	53	Plano Oficial a partir de 2020-2021	1	-	3	21	81
MIM	5	Plano Oficial a partir de 2021/2022	1	-	3	21	81

Língua de trabalho

Inglês

Objetivos

Over the past several decades, financial theory has been based on the assumption that investors and managers are generally rational and that the prices of securities are generally efficient. However, recent studies suggest that markets are not efficient and that investors and managers are not fully rational. Behavioral finance offers a more realistic view of economic agents’ decision making. It argues that many facts about asset prices, investor behavior, and managerial behavior are best understood using models where at least some agents are not fully rational. In particular, behavioral finance uses psychological evidence to model investor and manager behavior in order to get a better understanding of the financial phenomena. The purpose of this course is to introduce the students to the new field of behavioral finance.

Resultados de aprendizagem e competências

Upon completion of this course, students will be able to have a good understanding of the major concepts of behavioral finance and to apply these concepts across a range of different economic environments.

Modo de trabalho

Presencial

Programa

 

1. Behavioral Finance vs. Rational Finance

1.1. How do we decide?

1.2. Definition of behavioral finance

1.3. A brief history of behavioral finance

1.4. The behavioral-rational debate in financial economics

 

2. Weaknesses of the Rational Paradigm

2.1. Concepts of market efficiency

2.2. The impact of information on prices

2.3. Weaknesses of the rational paradigm

2.4. Empirical evidence

 

3. Investor Behavior

3.1. Emotional and cognitive biases

3.2. The role of emotion in decision-making

3.3. The impact of external factors

3.4. Herding behavior

3.5. Empirical evidence

 

4. Limits to Arbitrage

4.1. The importance of arbitrage

4.2. Limits to arbitrage

4.3. Empirical evidence

4.4. An assessment: theories in Finance

 

5. Alternative Asset Pricing Models

5.1. The impact of heterogeneous investors

5.2. The survival of non-rational investors in the market

5.3. Behavioral models

5.4. Models with heterogeneous expectations

 

6. The Human Factor in Corporate Finance

6.1. Biased managers

6.2. Biased Entrepreneurs

6.3. Biased financial decisions in the firm

6.3.1. Capital budgeting decisions

6.3.2. Financing decisions

6.3.3. Dividend decisions

6.3.4. Mergers and acquisitions

6.4. Rational managers and non-rational investors

 

7. The Behavioral Perspective (way) beyond Finance

 

 

Bibliografia Obrigatória

Lobão, Júlio; O Factor Humano na Decisão Empresarial, Editora Actual, 2013
Lobão, Júlio; Finanças Comportamentais – Quando a Economia encontra a Psicologia , Editora Actual, 2012
Lobão, Júlio; Behavioural Corporate Finance, Cambridge Scholars Publishing, 2016. ISBN: 978-1-4438-8517-1
Baker, Kent; Nofsinger, John; Behavioral Finance: Investors, Corporations, and Markets, John Wiley & Sons, 2010

Bibliografia Complementar

Shleifer, Andrei; Inefficient Markets: An Introduction to Behavioral Finance, Oxford University Press, 2000
Shiller, Robert; Irrational Exuberance, Crown Business, 2006

Métodos de ensino e atividades de aprendizagem

The class will be a mixture of lecture and discussion. Theories, practices, and real-world examples will be examined.

Tipo de avaliação

Avaliação distribuída com exame final

Componentes de Avaliação

Designação	Peso (%)
Exame	50,00
Participação presencial	10,00
Trabalho escrito	40,00
Total:	100,00

Componentes de Ocupação

Designação	Tempo (Horas)
Frequência das aulas	0,00
Total:	0,00

Obtenção de frequência

Distributed evaluation with no final exam.

Fórmula de cálculo da classificação final

Distributed evaluation with final exam. Grades will be based on the final exam (50%), group work (40%) and class participation (10%). The students are required to have done the group work in order to have access to the final exam (article 9, n. 1, a) of the grading rules)