Contents:
Prerequisites: Stochastic calculus, Ito’s lemma, Brownian motions and related stochastic processes, martingale pricing, SDE. Understanding of financial markets, banking activities and main financial derivatives. Knowledge in programming with hands-on experience, Monte Carlo implementations.]
About the lecturer: Luca Sitzia is Senior Financial Risk Quant at UniCredit. He holds a master in mathematical engineering at Turin Polytechnic, a master in Applied Probability at Paris Marne-La-Vallée University, and a PhD in Statistics and Finance at Turin University. He cooperates with several universities as a teacher. His fields of expertise cover financial modelling for pricing, counterparty risk, XVAs, prudent valuation and adjustments, behavioural models for ALM, liquidity and interest rate risks. In recent years he is exploring various applications of advanced analytics, big data, machine and deep learning techniques.