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Economics and Management Analysis Techniques 2017/2018

  • 4 ECTS
  • Taught in Portuguese
  • Continuous Assessment

Objectives

Students should be able to develop a descriptive analysis of the statistical data collected doing their processing and interpreting its meaning. Should still be able to apply the rules of financial mathematics in order to determine the final capital, nominal and effective interest rates, the terms of an annuity, etc..
Students should be able to apply Microsoft Excel and R software to solve problems associated with financial mathematics, concentration measures, and time series.

Recommended Prerequisites

Basic knowledge of descriptive statistics

Teaching Metodology

A methodology characterized by the coexistence of the exhibition model with interactive model will-take-it.
The active participation of students in classes shall be encouraged-.
There will be a more active participation of students in classes in computer room through the use of computer applications (Microsoft Excel and R) to solve problems within the UC that may occur in their professional future.
As a strategy for achieving the objectives of the discipline, practical exercises with presentation and correction in class itself-will be promoted.
In practical classes independence shall be encouraged-in reasoning and solving practical exercises

Body of Work

part I
1. Basics of Financial Mathematics
1.1. General Framework
1.2. Capital, Time and Interest. Financial Operations
1.3. Financial Functions in Microsoft Excel.
2. Capitalization and Discount Regimes
2.1. Regime of Simple Interest
2.2. Regime Said Simple
2.3. Regime of Compound Interest
3. Asynchrony between Capitalization and Interest Rate
3.1. Equivalent and Proportional Rates
3.2. Effective and Nominal Rates
4. rents
4.1. Introductory Concepts: Definition of rent; Moments of a rent, Classification of rents
4.2. A value of a rent with any terms: Constant Terms
part II
5. Applications of Microsoft Excel
1. Basics of Descriptive Statistics
1.1. Measures of Concentration
2. Indexes Numbers
2.1. Simple indices
2.2. Indexes aggregates or Compounds
2.2.1. Laspeyres index
2.2.2. Paasche index
2.2.3. Deflation Time Series
2.2.3.1. IPC
2.2.3.2. Real / Nominal Values
3. Applications of Microsoft Excel and R

Recommended Bibliography

Parte I :
- Laureano, R., Santos, L., (2011. Fundamentos do Cálculo Financeiro, Edições Sílabo, Lisboa.
- Matias, Rogério (2009), Cálculo Financeiro- Teoria e Prática, Escolar Editora, Lisboa.
Lisboa, J., Augusto, M., (2008. Cálculo Financeiro. Vida Económica, Porto.
- Quelhas, A.; Correia, F. (2014). Manual de Matemática Financeira. Edições Almedina, Coimbra.

Parte II :
- Santos, C., (2010). Estatística descritiva, Edições Sílabo, Lisboa.
- Moreira, A., Macedo, P., Costa, M., Moutinho, V., (2011). Exercícios de Estatística com Recurso ao SPSS, Edições Sílabo, Lisboa.
- Reis, E. (2008). Estatística Descritiva, Edições Sílabo, Lisboa.

Complementary Bibliography

Parte I:
- Mateus, A. (1999), Cálculo Financeiro, 5ª ed., Edições Sílabo, Lisboa

Parte II:
- B.Murteira, Análise Exploratória de Dados- Estatística Descritiva, McGraw-Hill, Lisboa, 1993
- Newbold, P., Carlson,W., Thorne, B. (2003), Statistics for Business and Economics, Prentice-Hall- Pearson Education (International Edition)

Weekly Planning

1 - Basics of Financial Mathematics (Applications in Microsoft Excel)
2 - Capitalization and Discount Schemes (introduction) (Applications in Microsoft Excel)
3 - Compound Interest Scheme, "Mixed" Regime (Applications in Microsoft Excel)
4 - Asynchronism between Capitalization and Interest Rate (Applications in Microsoft Excel)
5 - Resolution of practical exercises (Applications in Microsoft Excel)
6 - Compound interest Rents; amortization Rents (Applications in Microsoft Excel)
7 - Accumulation Rents (Applications in Microsoft Excel)
8 - Realization of the 1st test
9 - Introduction to Descriptive Statistics (Applications in Microsoft Excel and R)
10- Measures of Concentration (Applications in Microsoft Excel and R)
11- Measures of Concentration (Applications in Microsoft Excel and R)
12- Index Numbers: Simple index, aggregates or Compound index (Applications in Microsoft Excel and R)
13- Deflation Time Series (Applications in Microsoft Excel and R)
14- Practical exercises
15- Realization of the 2nd test

Demonstration of the syllabus coherence with the curricular unit's objectives

The contents are consistent with the goals to be achieved. Thus, for the purpose of being able to develop a descriptive analysis of the statistical data collected by treating them and interpreting their meaning, are studied and conducted practical exercises on the basic concepts and measures of descriptive statistics and index numbers.
As for the goal of getting to apply the rules of financial mathematics with the goal of determining the final capital, interest, effective and nominal rates and the terms of an annuity, are studied and made practical exercises about the concepts of financial mathematics on schemes and capitalization and discount on rents.
Practical cases with resolution in Microsoft Excel and/or R are linked to the application capability of Microsoft Excel and R software in solving problems associated with UC.

Demonstration of the teaching methodologies coherence with the curricular unit's objectives

For all learning objectives the expository method with brainstorming and reasoned opinion expression is used. Through the use of a methodology exhibition, an interactive model and encourage the participation of students aims to operationalize concepts and knowledge of the basic concepts of financial mathematics and capitalization and discount schemes.
  Students are encouraged to develop a permanent research activity, develop skills within the asynchrony of capitalization and interest rate, particularly in the area of understanding the aspects of equal and proportional rates of nominal and effective rates and rents.
Through brainstorming and permanent resolution of problems, we aim to understand the index numbers and to assess the importance of their knowledge.
The fact that 50% of the lecture component is held in a computer room using the use of applications (Microsoft Excel and R) connected to the application capability of Microsoft Excel and R software in solving problems associated with UC.

relevant generic skillimproved?assessed?
Achieving practical application of theoretical knowledgeYesYes
IT and technology proficiencyYes 
Problem-solvingYesYes
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