Financial Management I

Code:

2FIF01

Acronym:

FI I

Keywords
Classification	Keyword
OFICIAL	Management Studies

Instance: 2012/2013 - 1S

Active?	Yes
Responsible unit:	Management
Course/CS Responsible:	Master in Finance and Taxation

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
FINF	27	Bologna Official Syllabus	1	-	7,5	56	202,5
MIF	2	Bologna Official Syllabus	1	-	7,5	56	202,5

Teaching language

Portuguese

Objectives

The main objectives of this unit are:

● Assist students in the acquisition of skills for modeling  financial statements and its application in case studies.

● Study of theoretical issues and practical tools for managing the company's risk and its application in case studies.

● Assist students in analyzing case studies using theories and tools of Univariate Analysis and Multivariate Analysis.

● The unit aims to motivate and assist students in the research in order to write a paper and develop their dissertation project.

● Prepare students for using the Datastream database, and collect a sample in order to develop an empirical study on financial distress.

● Conduct empirical studies with market and accounting data for publicly traded companies: credit risk models like BSM and Z-Score; study on market efficiency, detection and evaluation of anomalies in stock markets.

Learning outcomes and competences

Results and skills   

Working method

Presencial

Program

1. Univariate Financial Analysis

 Economic and financial ratios and financial flows

 Economic and financial diagnostic

 Case Study: Economic and financial diagnostic

 

2. Risk Management

 Risk Management Strategy

 Mechanisms for risk Management

 Arguments for and against active risk management by the company

 Case Study: Risk associated with production capacity expansion

 

3. Modeling of financial statements

 Forecasting financial statements

 Sensitivity Analysis

 Case Study: forecasting earnings and external financing needs

 

4. Financial multivariate analysis

 Multivariate analysis techniques

 Software for multidimensional analysis

 

5 Financial distress models

 Models based on market data

 Models based on accounting data

 

6. Empirical study of financial distress

 Database "Datastream"

 Static and "time-series" request

 Users lists

 Sample formation, running tests and results analysis

 

7. Credit-risk and market efficiency empirical studies        

Mandatory literature

Elísio Brandão; Finanças
Hair, Joseph; Multivariate data analysis
Higgins, Robert; Analysis for Financial Management
Bodie e Merton; Finance
Datastream Advance - 4.0 SP9

Complementary Bibliography

Stephen A. Ross, Randolph W. Westerfield, Jeffrey Jaffe; Corporate finance

Teaching methods and learning activities

Classes are based on case studies. The teacher presents the theoretical points and tools and the students develop case studies based on computer applications, including data analysis software, spreadsheets and Datastream.

Distributed evaluation and final exam

Distributed evaluation consists of: classroom participation and an exam.

Software

Folha de Cálculo
Análise de dados
Datastream

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Exam	Exame		70,00
Classroom participation	Participação presencial		30,00
	Total:	-	100,00

Eligibility for exams

                       

Calculation formula of final grade

 Distributed evaluation and final exam

 

Examinations or Special Assignments

                       

Internship work/project

                 

Special assessment (TE, DA, ...)

             

Classification improvement

                      

Observations