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Teacher
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PATACCHINI Silvia
(syllabus)
Part I: Risk management. Market risk. Definition, parametric VaR and empirical estimation of variances and covariances. Simulation Monte Carlo, historical simulation Stress testing and Backtesting The limits of VaR and the expected shortfall II part: applications for the Market Risk Non-frontal activity _ review of topics from previous exams (financial engineering, statistics for finance, VBA): volatility estimation, correlations, vol estimation models, VBA MATLAB). Quantitative insights for risk management Downside risk in non-Normal contexts: Filtered Historical, Cornish-Fisher, t-distribution and EVT. RM for portfolios with complex optional content - Beyond BSM: Local Vol Models, Displaced Diffusion and CEV. Stochastic volatility valuation models: Heston, SABR. Volatility surface estimation for equity and FX.
(reference books)
A. RESTI, A. SIRONI, Rischio e valore nelle banche, Milano, EGEA, 2008. Teaching materials by the teachers available on the course website in Moodle
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