FINANCIAL ECONOMICS - 2
- Academic year
- 2019/2020 Syllabus of previous years
- Official course title
- FINANCIAL ECONOMICS - 2
- Course code
- EM5021 (AF:304082 AR:167968)
- Modality
- On campus classes
- ECTS credits
- 6 out of 12 of FINANCIAL ECONOMICS
- Degree level
- Master's Degree Programme (DM270)
- Educational sector code
- SECS-P/02
- Period
- 4th Term
- Course year
- 1
- Where
- VENEZIA
- Moodle
- Go to Moodle page
Contribution of the course to the overall degree programme goals
Expected learning outcomes
In detail:
1. Knowledge and understanding
1.1 - understanding of economic / financial phenomena concerning financial markets and investment choices with particular attention to portfolio management;
1.2 - Understanding of the mechanisms of price formation and of the returns of the shares starting from the theory of the portfolio through the classical pricing models such as the Capital Asset Pricing Model and the Arbitrage Pricing Theory;
1.3 understending of the causes of financial crises and the role of long term investors (Private and Pubblic)
2. Ability to apply knowledge and understanding
2.1 Identify the sources of information necessary to support investment choices.
2.2 Use and analyze financial databases such as Bloomberg to acquire time series of financial asset prices and then determine the yield, volatility and expected correlation.
2.3 Use Excel or other programming languages such as R, Stata, Gretel or Matlab to determine the efficient border.
2.4 Use Excel or other programming languages such as R, Stata or Matlab to estimate the beta of shares or equity portfolios
3. Ability to make judgements:
3.1 to interpret the functioning of financial markets in the light of investment choices and macroeconomic variables
3.2 to recognize the implications that portfolio choices have on price formation
3.3 To identify and evaluate risk factors and on potential or presumed arbitrage opportunities.
Pre-requirements
Basics of interest rates; separability. Annuities. Amortization of a debt.
References:
S.Romagnoli, “Mathematical Finance. Theory”, Esculapio, edition no. 2, 2016, chapters 1, 2, 3 (only p. 82-103), 7.
Statistics
Exploratory data analysis (univariate distributions, location and variability summaries, graphical representations). Probability (interpreting probability, probability rules, univariate random variables,
law of large numbers and central limit theorem). Basic techniques of statistical inference (point and interval estimation, hypothesis testing)
References
Newbold P., Carlson W.L., Thorne B., Statistics for Business and Economics, 8th ed. Pearson, 2013, ch. 1-10.
Levine D.M., Krehbiel T.C., Berenson M.L., Business Statistics, A first course, 6th ed., ch. 1-9.
Ross S.M., Introductory Statistics, 3rd ed. Elsevier, ch. 1-3, 7-9, 12.
Students should also be familiar with basic concepts of Microeconomics, Macroeconomics, and Math.
Contents
- Introduction: Types of Equity Securities and Their Characteristics/Equity Markets: Characteristics and Institutions
- Equity Market Valuation and Return Analysis
- Standard portfolio selection problem and mean-variance approach
- Equity Portfolio Benchmarks
- The Capital Asset Pricing Model (CAPM).
- The Arbitrage Pricing Theory (APT)
- Equity Portfolio Management Strategies
- The Investment Policy Statement
- Modern Portfolio Management Concepts/Equity Portfolio Management Strategies
- Asset Allocation
- Performance Evaluation
- ETF and Structured products
Part II
- Financial crisis
- Management of Institutional and Individual/Family Investor Portfolios
- Economic Analysis and Setting Capital Market Expectations
- Private Equity/Venture Capital Valuation
- Types of Alternative Investments and Their Characteristics/Hedge Funds Strategies
- Fintech
Referral texts
Assessment methods
Teaching methods
b) Case studies
c) Experts testimonial
Teaching language
Further information
Type of exam
2030 Agenda for Sustainable Development Goals
This subject deals with topics related to the macro-area "Human capital, health, education" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development