Integrative teaching
Giorgio Rizzini
Examination procedure
<p>Oral exam and seminar.</p>
Prerequisites
Basic notion of probability theory topics
Syllabus
-- Introduction to portfolio optimization. Utility functions, Optimal portfolios, Consumption-Investment problems, Mean-variance portfolio problems
-- Stochastic Models for financial markets. Binomial models. Brownian Motion. Martingale. Stochastic Calculus, Itô's Formula. Levy processes and jump processes. Stochastic Calculus with jump processes. Stochastic Differential Equations (SDE). Kolmogorov's Equations. Feynman-Kac's theorem.
-- Evaluation of Options. Models of Cox-Ross-Rubinstein and of Black-Scholes. Risk Neutral evaluation (European Options, American Options, Exotic Options). Dynamic evaluations. Market premium and change of numeraire. Affine processes in continuous time and valuation formulae. Models of Merton and Bates.
-- Volatility. Volatility surfaces. Extensions of the Black and Scholes Formula and local volatility models. Stochastic Volatility models in continuous time. Rough Volatility models.
-- Optimal stochastic control. Stochastic optimization problems. Solution methods: the classical PDE approach and the dynamic programming approach. Optimal switching and free boundary problems. Applications in finance.
Bibliographical references
Notes given by the Prof.s
Pham, Huyên. Continuous-time stochastic control and optimization with financial applications. Vol. 61. Springer Science & Business Media, 2009.
Peskir, Goran, and Albert Shiryaev. Optimal stopping and free-boundary problems. Birkhäuser Basel, 2006.
Gatheral, Jim. The volatility surface: a practitioner's guide. John Wiley & Sons, 2011.
Bayer, Christian, et al., eds. Rough volatility. Society for Industrial and Applied Mathematics, 2023.