Alessandro Gnoatto

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AlessandroGnoatto, March 1, 2018
Position
Full Professor
Academic sector
STAT-04/A - Mathematical Methods for Economy, Finance and Actuarial Sciences
Research sector (ERC-2024)
PE1_13 - Probability

PE1_22 - Application of mathematics in industry and society

SH1_4 - Finance; financial markets

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. Office hours will be delivered via Zoom/Skype or in person.

Previo appuntamento via E-Mail. Il ricevimento studenti avviene via Zoom/Skype oppure in presenza.

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: 25.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master’s degree in Banking and Finance Derivatives (2024/2025)   9  eLearning 9 
Ph.D. in Economics and Finance Matematica Finanziaria (2024/2025)   5    3 
Master’s degree in Banking and Finance Mathematical finance (2024/2025)   9    9 
Master’s degree in Banking and Finance Derivatives (2023/2024)   9  eLearning 9 
Bachelor's degree in Applied Mathematics Financial mathematics (2023/2024)   9  eLearning 9 
Master’s degree in Banking and Finance Introduction to Java programming (2023/2024)   3  eLearning 3 
Ph.D. in Economics and Finance Matematica Finanziaria (2023/2024)   5  eLearning 5 
PERCORSO 60 CFU CLASSE A047 Didattica della matematica finanziaria a (2023/2024)   3  eLearning 1  (A)
Bachelor's degree in Applied Mathematics Financial mathematics (2022/2023)   9  eLearning 9 
Master’s degree in Banking and Finance Financial Risk Management (2022/2023)   9  eLearning 9 
Master’s degree in Banking and Finance Introduction to Java programming (2022/2023)   2  eLearning 2 
Bachelor's degree in Applied Mathematics Financial mathematics (2021/2022)   9  eLearning 9 
Master’s degree in Banking and Finance Financial Risk Management (2021/2022)   9  eLearning 9 
Master’s degree in Banking and Finance Introduction to Java programming (2021/2022)   2  eLearning 2 
Master’s degree in Banking and Finance Machine learning and quantum computing with some applications in mathematical finance (2021/2022)   2  eLearning 2 
Bachelor's degree in Applied Mathematics Financial mathematics (2020/2021)   12  eLearning 9 
Master’s degree in Banking and Finance Financial Risk Management (2020/2021)   9  eLearning 9 
Master’s degree in Banking and Finance Introduction to the Java Programming Language - 2020/21 (2020/2021)   2  eLearning  
Bachelor's degree in Applied Mathematics Financial mathematics (2019/2020)   12  eLearning 12 
Master’s degree in Banking and Finance Financial Risk Management (2019/2020)   9  eLearning 9 
Master’s degree in Banking and Finance Introduction to Java Programming (2019/2020)   2  eLearning 2 
Master’s degree in Banking and Finance Financial Risk Management (2018/2019)   9  eLearning 9 
Master’s degree in Banking and Finance Introduction to Java programming (2018/2019)   2  eLearning 2 
Master's degree in International Economics and Business Management Quantitative models for business management (2018/2019)   9  eLearning 9 
Master’s degree in Banking and Finance Financial Risk Management (2017/2018)   9  eLearning 9 

Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:

  • Eventi di Terza Missione: eventi di Public Engagement e Formazione Continua.
  • Insegnamenti di Terza Missione: insegnamenti che fanno parte di Corsi di Studio come Corsi di formazione continua, Corsi di perfezionamento e aggiornamento professionale, Corsi di perfezionamento, Master e Scuole di specializzazione.
Research interests
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. Stochastic optimization for finding estimators of the volatility of a semimartingale with jumps. Quantitative Methods for Economics
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. Quantitative Finance
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
Probabilistic methods, simulation and stochastic differential equations


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