98729 - MATHEMATICAL FINANCE, ASSET PRICING AND DERIVATIVES

Learning outcomes

At the end of the course the student masters the main concepts of financial mathematics. The course will cover the stochastic dynamics of asset prices assumed under the efficient market theory, the concept of arbitrage-free pricing and replicating strategies, leading to the PDE approach to pricing.

Course contents

1. Stochastic calculus principles: stochastic process, discrete and continuous martingale, diffusion and Ito's process, Markov 's process, exponential martingale and probability changing, Girsanov's theorem, stochastic integration and Ito's lemma, SDE and PDE, Kolmogorov's PDE, Feynman-Kac's theorem;
2. Plain vanilla contingent claims's pricing and hedging: forward and future, european and american options, pricing and hedging by arbitrage, self-financing portfolio, CRR's model, BS's model, volatility analysis and smile effect, arbitrage model for Ito's market, market premium and market numeraire, BS formula for exchange options, complete and incomplete markets;
3. Domestic-Foreign arbitrage and exotic options: Black's model, quantos and compos, digital options, regular and reverse barrier options, loockback options and options on running minimum (maximum) of underlying asset;
4. Thematic Area to be addressed to specific Frontier Topics of interest of the educational path (WDs on temperature' indices).

Readings/Bibliography

• Romagnoli S., Mathematical Finance-Theory, 2019, Esculapio;
• Romagnoli S., Mathematical Finance-Practice, 2019, Esculapio;
• Financial calculus-An introduction to derivative pricing, Baxter-Rennie, Cambridge university press, 1997;
• Elementary stochastic calculus with finance in view, Mikosch, World scientific, Singapore 1999;
• Introduction to stochastic calculus applied to finance, Lamberton-Lapeyre, Chapman and Hall, London 1996;
• Arbitrage Theory in Continuous Time, T. Bjork, Oxford University Press;
• Martingale Methods in Financial Modeling, Musiela-Rutkowski, Springer;
• Modeling and Pricing in Financial Markets for weather derivatives, F.E. Benth-J. S. Benth, World scientific.

Teaching methods

Theoretical lessons will be support by applied examples of discussed models to incite students to find themselves the explicit solutions of the theoretical problems applying the correct mathematical instruments.

Assessment methods

The learning test consists in a written exam to solve in 2 hours and which covers the entire course content. This exam is composed by 3 execises which are structured into 2 questions each. During the exam it is permitted to use the calculator but it is not allowed to consult books or notes. It is attributed on average 10 points to each exercise. The students pass the exam with a score not lower than 18 points. There are not partial exams but just a full one at the end of the course.

Students can ask also for an oral exam about all the programme of the course. The final grade will be the average of the oral and the witten exam's grade.

For GrenFin students, the grade of this module will be averaged (simple average) with the grade of Mathematical Finance, Asset Pricing, and Derivatives to derive the overall grade of the integrated course. The overall average grade must be at least 18, the minimum grade of each module is 15. Both modules must be taken by the September exam session (inclusive). For exchange students or PhD students taking only this module, the minimum pass grade is 18. Students can reject a pass grade in this module (and resit the exam) once only.

Teaching tools

Teaching tools will be blackboard and slides.

Office hours

See the website of Silvia Romagnoli