Alessandro Gnoatto

AlessandroGnoatto,  March 1, 2018
Position
Associate Professor
Academic sector
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Research sector (ERC)
C6 - Mathematical Methods and Programming

C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

60H - Stochastic analysis

65A - Tables

Telephone
045 802 8537
E-mail
alessandro|gnoatto*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Any time via E-Mail arrangement.
Previo appuntamento via E-Mail.

Curriculum

Specialities: Quantitative Finance, Derivative pricing with focus on xVA, interest Rates, FX and Equities, Numerical methods, in particular Monte Carlo and FFT methods, Risk Management, Risk Measures, Java, Matlab, Stochastic Calculus.

Modules

Modules running in the period selected: 3.
Click on the module to see the timetable and course details.

 
Skills
Topic Description Research area
JEL C61 - Optimization Techniques; Programming Models; Dynamic Analysis Covers theory and methods for optimization problems. Linear programming and mathematical programming. Vector optimization and duality models. Economic applications to the problems of optimal investment choices under conditions of uncertainty and portfolio optimization. Estimation of the parameters of financial models including a risk-neutral assumption and calibration of the models. Metodi quantitativi per l’economia
Mathematical and Quantitative Methods C1-C6,C8 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
JEL G13 - Contingent Pricing; Futures Pricing Evaluation models in the financial field, with applications to the pricing of derivative products (plain-vanilla and exotic), to their coverage, and to the analysis of the associated risks. Finanza quantitativa
Financial Economics G1-G3 - General Financial Markets
MSC 60H10 - Stochastic ordinary differential equations Analysis of continuous time stochastic processes. Applications of stochastic differential equations of forward and backword type with jumps to problems of financial pricing and optimal control. Metodi quantitativi per l’economia
Probability theory and stochastic processes - Stochastic analysis
MSC 60H30 - Applications of stochastic analysis Applications of continuous-time stochastic processes in economics and finance. Analysis of pricing problems and contingent claims. Studies of problems of risk management and applications of measures of risk. Metodi quantitativi per l’economia
Probability theory and stochastic processes - Stochastic analysis
MSC 60H35 - Computational methods for stochastic equations Probabilistic computational methods: recursive marginal quantization and Fourier-quantization. Exposure estimation in models featuring counterparty risk. Metodi quantitativi per l’economia
Probability theory and stochastic processes - Stochastic analysis
MSC 65C05 - Monte Carlo methods Monte Carlo methods for estimating and predicting dynamic models, such as Markov chain Monte Carlo, particle filters and sequential Monte Carlo. Applications of these methods to economic and financial field. In particular, applications for the numerical solution of stochastic differential equations forward-backward. Also covers Longstaff-Schwartz regression methods for the solution of Snell envelopes and applications in the counterparty risk field. Metodi quantitativi per l’economia
Numerical analysis - Probabilistic methods, simulation and stochastic differential equations




Alessandro Gnoatto
Office Collegial Body
component Collegio didattico di Economia e Commercio - Department Economics
Comitato scientifico del Corso di Perfezionamento in Scienze attuariali e risk management nelle imprese di assicurazione
component Economics Department Council - Department Economics