DERIVATIVE PRICES AND RISK MANAGEMENT
The course aims to provide mathematical and probabilistic models and concepts for the study of continuous-time financial markets, in particular for
financial risk management, hedging and pricing of derivative securities, including credit derivatives.
The course aims to provide specific quantitative knowledge
- for professional figures operating in financial
markets, including the "Market risk analyst", the "risk manager" and the "credit risk analyst";
- for research activities in Finance;
- for the profession of Financial Advisors.
EXPECTED LEARNING RESULTS.
The student is expected to:
- understand the basic and advanced mathematical concepts for financial derivatives valuation and hedging;
- know the main stochastic models for financial markets;
KNOWLEDGE AND ABILITY TO UNDERSTAND:
At the end of the course, the student should: - know the basic probabilistic tools used in finance and some of the advanced ones as well;
- know modern mathematical finance methods for risk management, derivatives hedging and valuation.
JUDGEMENT ABILITY:
At the end of the course, the student should be able to apply the knowledge he/she has acquired to problems in quantitative finance.
COMMUNICATION ABILITY:
At the end of the course, the student should be able to summarize and expose the concepts and the theoretical results he/she has learned, as well as be able to motivate his/her choices in problem solving.
Stochastic processes in continuous time. Introduction to stochastic calculus.
Financial markets in continuous time: unidimensional and multidimensional Black & Scholes model. Derivatives hedging and risk neutral
pricing. Complete and incomplete financial markets. Intensity based credit risk models: pricing of DZCB and CDS.
Elements of stochastic calculus:
Stochastic processes in continuous time. Brownian motion. Filtrations and
conditional expectations. Martingales. Ito's integral. Geometric
Brownian motion. Ito's formula. The Girsanov Theorem.
Financial Markets in continuous time:
The Black & Scholes model. Valutations of derivatives: the Black & Scholes PDE. Risk-neutral pricing. Delta-hedging and Delta-Gamma hedging. The Greeks. Multi-dimensional financial market models. The market price of risk. Complete and incomplete markets.
Credit risk models: Intensity-based models. Pricing of DZCB and CDS.
- Tomas Bjork, Arbitrage Theory in Continuous Time, Oxford.
- Lecture notes and exercise sheets available on the teacher's website (https://economia.unich.it/)
- The on-line material is available in English, upon request.
The course is structured in 72 hours of frontal teaching, consisting of
theoretical lessons and exercises sessions. The exercises proposed by the
teacher are intended to verify the practical application of the topics seen
at a theoretical level.
The final exam will consist of both a written test and an oral exam. The
written test will be composed of exercises and problems and the oral
exam will be on theoretical topics.
Both the written text and the oral exam can be taken in English.
Weekly office hours (see the teacher web page https://economia.unich.it/)
Office hours can also be in English.