Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
secondo semestre lauree magistrali dal Feb 25, 2019 al May 31, 2019.
The goal of the lecture is to present the theoretical foundations and the models employed by financial institutions to manage different sources of financial risk. A particular focus will be put on numerical methods (Monte Carlo simulations) and their implementation using modern IT-Tools (Java, Eclipse).
Part 1: Monte Carlo Methods
Basic notions: expectation, Lp spaces, classical inequalities (Markov, Chebychev etc...)
Classical numerical integration
Monte Carlo integration (code)
Generation of random draws and discretization of stochastic processes (code)
Variance reduction techniques (code)
Part 2: Market Risk
Introduction: IR, Equity, FX, Commodities, Options
Risk Measures: general theory
- Historical approach (code)
- Analytical approach
- Monte Carlo simulations (code)
Optional: Basel II regulations
Part 3: Credit Risk
Basic risks in a default-free setting: duration and convexity
Rating based models
Reduced form models
Optional: Basel II regulations
Part 4: Counterparty Credit Risk Funding and collateral (xVA)
Monte Carlo for xVA (code)
Optional: Basel III/Basel IV regulations
- A good working knowledge of mathematical analysis (limits/derivatives/integration). The ability to solve standard first and second order equations/inequations.
- A good working knowledge of basic statistics (probability distributions, conditional probabilities, random variables, central limit theorem, law of large numbers, statistical tests, conditional/unconditional expected values/moments).
- Programming: the lecture does not assume that students are experienced Java programmers, anyway attendance of the block-lecture Introduction to Java Programming, offered before the lectures starts, is recommended. It is assumed that students are able to write simple programs in any language such as Matlab, Python, Visual Basic, Turbo Pascal etc. In summary, it is assumed that students are able to think in an algorithmic way, independently of any programming language. Practical tutorials for the Java programming language will be provided.
|Baesens, B., Backiel, B. and Vanden Brouke, S.
||Beginning Java Programming: The Object-Oriented Approach
||Wrox Pr Inc
|Bielecki, T. and Rutkowski, M.
||Credit Risk: Modeling, Valuation and Hedging
|A. F. McNeil, R. Frey, P. Embrechts
||Quantitative Risk Management:Concepts, Techniques and Tools
||Princeton University Press
The exam consists of two parts: the first is a Project Work that has to be completed by using the Java programming language. The mark on the project work has a weight of 30% on the final grade.
The Project Work can be completed by groups consisting of up to 4 people.
Aims of the project work are:
- implement and deepen the understanding of the methods illustrated during the lecture.
- improve the ability to work in teams.
The grade of the project work is valid for all written exams during the current academic year and for the first two examinations of the next academic year.
Student get access to the written exam only if the project work has a positive valuation. Those who do not submit any solution will not be accepted to the exam.
The second part of the exam consists of a written exam on all topics of the lecture. The exam contain theoretical and practical exercises together with programming questions related to the Java programming language. The grade of the written exam has a weight of 70% on the final mark.