Provide students with skills to:
OG1- Acquiring habits of critical reflection and developing research skills, synthesis, structuring and presentation of information from data processing;
OG2- Perspect statistics as a tool for decision making;
OG3- Handle statistical software.
Upon completion of this course unit, the student should be able to:
SO1- Recognize and identify the different statistical methodologies, their potentialities and limitations;
SO2- Acquire knowledge of probabilistic nature;
SO3- Correctly identify a probabilistic model and apply it in practical cases;
SO4- Know how to use inferential statistics in concrete problems;
OE5- Identify, define and apply the most appropriate parametric and nonparametric hypothesis test;
SO6- Use free software for problem solving, analysis and interpretation involving data analysis.
|C1- Introduction to the foundations of statistics: Descriptive statistics; data pre-processing; outliers detection; Detection of relevant information and leverage values; variables association.|
C2- Elements of sampling theory: Data collection technique; Definition of samples;
C3- Main theoretical distributions of random variables: discrete theoretical distributions; continuous theoretical distribution; data fit models
C4- Statistical inference: Hypothesis tests, parametric and nonparametric;
C5- Use of free statistical software and de Free visualization tools.
1. Understand the purpose of a company’s financial function and the role played by the financial manager
2. Understand the relationship between profitability and risk
3. Know the fundamental elements for an economic and financial analysis of a company and make decisions based on these elements.
4. Analyze and reflect on a instrument to finance a company and make decisions for an optimal financial structure.
5. Understand the importance of dividend distribution policy in the firm’s value
6. Analyze financial and accounting information from a management perspective
1.Introduction: finance and the role of the financial manager;
2. The value of money over time;
3. Portfolio theory and CAPM;
4. capital structure;
5. Dividend Policy;
6. Financial Analysis and Value Creation
1. To know the main theories of management and administration;
2. To understand the management process based on its explanatory theories;
3. to structure critical thinking about the process associated with management;
4. To know the process of scientific investigation in the area of the management;
5. To, critically, evaluate the fundamentals of management based on your theory and research.
I. Research Methodologies:
– techniques and context
– qualitative research
– To search, organize, write and present
II. Management Theories:
– Resource-based theory
– Transaction costs theory
– Agency theory
– Governance theory
– Knowledge-based theory
– Network theory
– Stakeholders theory
– Production Planning and Control
A – To recognize potential applications of Linear Optimization in Finance, Economics and Management.
B – To know the methodology and techniques of Linear Optimization commonly used to support the processes of decision making.
C – Learn to select and apply the techniques of Linear Optimization in solving these problems.
D – To formulate Linear Programming models to describe real problems, and sometimes unstructured, taking into account the main characteristics of the studied situation.
E – To apply the Linear Optimization methods in solving instances of small size.
F – To implement a model using appropriate software, and to find solutions for instances of moderate size.
G – To validate the models and interpret the obtained solutions in order to make recommendations to the system under analysis.
1. Linear Programming (PL)
1.1. Basic concepts in linear optimization
1.2. Graphic resolution of linear programming problems
1.3. Primal simplex method
1.4. Artificial variables
1.5. Revised simplex method
1.6. Duality and economic interpretation of the dual problem
1.7. Dual simplex method
2. Integer Programming (IP)
2.1. Introduction to integer programming
2.2. Branch-and-bound method
2.3. Formulation of constraints using integer and binary variables
3. Model formulation of LP, IP and MILP
3.1. Introduction to Graph Theory
3.2. Classical Problems (Knapsack, Selection of Investments, Assignment , Traveling Salesman Problem, …)
-Promote the acquisition of specific knowledge of advanced level models in decision support in organizations
-Contribute to the promotion of research in the area of decision support models
-Acquire / update / complement theoretical knowledge of nonlinear optimization
-Modeling and classify problems
-Select and use the methods / software most appropriate for each type of problem
-Formulate and model optimization problems
-Use and select scientific software for solving optimization problems
|C1. Introduction to Nonlinear Optimization|
1.1. General form of optimization problems
1.2. Presentation and classification of problems.
1.4. Optimization conditions
1.3. Problem modeling
C2. Troubleshooting Methods:
2.1. Quadratic problems, without restrictions and with restrictions
2.2. Use of Scilab functions to solve specific problems.
C3 – Industrial Simulation
3.1. Location of the scope of the simulation technique in systems analysis. Types of Simulation models. Simulation software.
3.2. Identification of the Philosophies of Process Flow and Planning of Events. Clock advance mechanism in discrete simulation and manual simulation.
3.3. Statistical aspects of the simulation. Generation of random numbers.
3.4 Verification and validation of simulation models
3.5 Modeling of systems (goods and services) with a professional simulation tool – SIMIO. Results analysis and iterative process of generating alternative scenarios.
– To know the behavioural theories of uncertainty and strategic interaction on the part of rational economics agents environments;
– To know how to apply the key concepts of Game Theory.
– To understand the notion of strategic behaviour;
– To learn and to distinguish the different types of equilibrium;
– To determine the equilibrium solution in static and dynamic games
– To apply the Game Theory to the theoretical models;
1. Basics of Game Theory
1.1 Historical Note on Game Theory
1.2 Elements of Game Theory: basic definitions and concepts
1.3 Actions, strategies and return balance
1.4 Pure strategies
2. Static games with complete information
2.1 Static games and Nash equilibrium
2.3 Mixed Strategies
3. Dynamic games of complete information and subgame perfect equilibrium
3.1 Dynamic games of complete information: representation and subgame perfect equilibrium
3.2 The model of Stackelberg duopoly
3.3 Finitely and infinitely repeated games
4. Static games of incomplete information and imperfect information
4.1 Imperfect information and incomplete information
4.2 Representation of a game of incomplete information and Bayes-Nash equilibrium
GENERAL OBJECTIVES: 1. Apply multidisciplinary and interdisciplinary knowledge acquired throughout the formative process; 2. Prepare a technical / scientific text; 3. Develop a thesis / advanced project with a view to obtaining the Master degree.
O1. To know methods and techniques of literature search;
O2. To know and correctly apply the standards for reporting/projects;
O3. To know qualitative analysis techniques and quantitative analysis.
S1. Research Design
S2. Qualitative methods
S3. Quantitative methods
S4. Combining qualitative and quantitative methods.
1. Mastering the basic concepts and techniques of economic and financial evaluation of investment projects.
2. Measure the profitability and risk of investments, and identify and integrate the analysis of the specific risk of investments.
3. Decide on the best medium and long-term financing options, alerting to the potential inadequacy of financing short-term
4. Build and develop adequate financial planning.
5. Understand investment typologies and investment decisions within the overall business planning.
6. Knowing about the different models of evaluation, making use of the critical capacities in relation to their forms of casuistic
7. Integrate risk analysis methodologies in the design of investment projects.
8. Analyze the relative advantages between different financing options for own funds and others, with different maturities.
9. Determine the cost of capital of a company: Cost of debt; Cost of equity.
1. Introduction to the evaluation of investments (AI)
1.1 Generic concepts
1.2 The time value of money
1.3 Maximizing the value and cost of capital opportunity
1.4 Typology of investment projects (IP)
1.5 Phases of development of an IP
1.6 Determinants of an IP and previous studies
2. Cash flow (CF)
2.1 Concepts of CF and its calculation
2.2 Incremental CF and relevant FC
3. Criteria for evaluation and selection of investments
3.1 Problems of the replacement rate and the cost of capital
3.2 Net present value (NPV) and adjusted NPV
3.3 Internal rate of return (IRR) and modified IRR
3.4 Other criteria
3.5 Problems of AI
4. Risk and Uncertainty in the Investment Decision
4.1 Sensitivity and scenario analysis
4.2 Monte Carlo Simulation
4.3 AI and the theory of real options
5. Financing the IP
5.1 Shareholders’ equity
5.2 Foreign capital
5.3 Cost of long-term financing
5.4 Long-term financial planning
5.5 Short-term financing
It’s fundamental objective the acquisition by students of reading ability, interpretation and evaluation of elementary econometric results. Strengthening the capacity of incorporating the postulates of economic theory in mathematical and statistical models are accessories goals, in order to quantify, learning the methods and techniques of linear regression analysis and familiarity with computer tools which support the production of econometric analysis .
1) Read and interpret statistical summaries and financial models published in the literature.
2) Build statistical and econometric methods to the development of applied financial studies models.
4) Understand the importance of financial information systems and its methodological interest (databases, types of samples).
5) Using professional software for quantitative and financial analysis.
6) Research in management.
0. SCOPE AND METHOD OF ECONOMETRICS
1. CLASSIC MODEL OF LINEAR REGRESSION
2. STATISTICAL ANALYSIS OF LINEAR REGRESSION MODEL
3. SOME EXTENSIONS OF LINEAR REGRESSION MODEL
6. THE GENERALIZED LEAST SQUARES REGRESSION MODEL
O1 – To distinguish tools to support scientific research in different problematic situations;
O2 – To know and to apply multivariate data analysis methods to support decision making;
O3 – To select, from a variety of statistical methods, those that best apply to specific situations;
O4 – To interpret the results obtained from the application of the statistical methods.
C1. Factor Analisys – Principal components Analysis
C2. Discriminant analisys
C3. Cluster analisys: hierarquical and non hierarquical methods
C4. Logistic and multinomial regression
C5. Neural networks
1) Understand and recognize the role of operations and logistics in business performance;
2) Develop decision-making capacities within the scope of the strategies to be followed within the scope of logistics operations and the supply chain.
3) Identify Logistics Operations as a factor of organizational competitiveness and their integration in the value chain;
4) Critically analyze and understand the characteristics and implications of demand forecasting models in supply chain management;
5) Critically analyze and understand how the inventory works, as well as its main implications for supply chain management;
6) Evaluate the different means of transport at the disposal of logistical solutions and their implications for supply chain management.
7) To Know the new trends in Operations and Logistics management.
Chap.1 – Operations and Logistics Management
1.1 Operations Management: Definition, Objectives and Relevance of the Operations Management Study
1.2 Historical background of Operations Management
1.3 The role of Logistics Management: systemic view
1.4 Future Trends in Operations and Logistics Management
Cap2. Supply Chain Management
2.1 Strategic Alignment in Supply Chains
2.2 Planning in supply chain management
2.3 Information Systems for Supply Chain Management
2.4 Procurement management in the supply chain
2.5 Inventory management along the supply chain
2.6 Transport management in the supply chain
– To promote the acquisition of specific advanced level knowledge in quantitative models of decision support
– To understand the importance of Financial Mathematics for organizations, providing an in-depth and integrated view of financial
operations and their interrelationship with the overall management of the company
– To understand and produce technical and scientific information, researching on relevant subjects
Upon completion of this course, students should be able to:
O1 – calculate and interpret probabilities and functions relevant to life insurance
O2 – know how to use mortality tables
O3 – know and understand basic concepts of financial series
O4 – apply techniques and methods of financial data analysis and interpret critically the results
O5 – select and use the most appropriate methodologies and software to solve practical problems arising from business activity, in the context of underlying uncertainty
M1. Topics of Actuarial Mathematics
1.1. Survival and mortality models
1.2. Mortality tables
M2. Introduction to Analysis of Financial Series
2.1. Financial times series and their characteristics
2.2. Linear Time Series Analysis
2.3. Multivariate Time Series Analysis
Upon completion of this course, students should be able to:
1. Know the main products made available by financial sector entities;
2. Understand the importance of money and finance for current economic activity;
3. Understand the importance of the Financial System for economic activity
Upon completion of this course, students should be able to:
1. Know the functioning and rules of the monetary policy of the euro zone and in particular the role of the European Central Bank in financing the economy
2. Know the main financial products used by the companies for financing;
3. Understand the logic of derivatives markets;
4. Perceiving the logic of stock and bond valuation
1. OVERVIEW OF THE FINANCIAL SYSTEM
1.1. Financial Flows
1.2. Financial Markets and Evolution of the Portuguese Market
1.3. Financial instruments
1.4. Hedging with options (Supplementary Subchapter)
2. FINANCIAL INTERMEDIATION
2.1. Economics of Financial Intermediation
2.2. Financial and Systemic Crises
2.3. Banking Regulation
3. MONETARY SYSTEM AND POLICY
3.1. Currency and Monetary Multiplier
3.2. Eurozone Monetary Policy