75318 - Financial mathematics

Learning outcomes

At the end of the course the student knows how to analyze the pricing/hedging procedures and the term structure of interest rates using several models. Particular emphasis is placed on the issue of calibration of the model to market data, from monetary, futures and swap markets, as well as from cap/floor and swaption volaitlities. MatLab is used to simulate the analyzed models  and to recover the price of the contingent claims: sensitivities to the model's parameters are discussed.

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. Term structure of interest rate: the exponential affine models.
   

Readings/Bibliography

• Mathematical Finance, S. Romagnoli, Esculapio 2015; 
• 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;
• Term-Structure Models, D.Filipovic, Springer.

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. This exam is composed by 3 execises which are structured into 2 questions. 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.

The 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.

Office hours

See the website of Silvia Romagnoli