TEACHING
University Teaching
Statistics, Econometrics, Time Series and Quantitative Methods
I teach undergraduate and graduate courses combining theory with interpretation, empirical applications and computation.
CURRENT TEACHING · 2026–27
Current university courses
Analisi delle Serie Storiche per la Finanza e le Assicurazioni
Time Series Analysis for Finance and Insurance
Adjunct Professor · Module 2
University of Bologna · Department of Statistical Sciences “Paolo Fortunati” · Rimini Campus
Statistical Methods for Genomics
Lecturing Assistant
University of Bologna · Department of Pharmacy and Biotechnology · Bologna Campus
Econometrics for Economics
Lecturing Assistant
Free University of Bozen-Bolzano · Faculty of Economics and Management
TEACHING AREAS
From foundations to advanced applications
Statistics & Probability
Probability, estimation, confidence intervals, hypothesis testing, statistical inference and applied analysis.
Econometrics
Regression, model specification, estimation, inference, diagnostics and interpretation of empirical models.
Time Series
Dynamic models, stationarity, forecasting, diagnostics and evaluation of predictive performance.
Quantitative Methods
Mathematical and statistical methods for empirical research, with attention to assumptions and interpretation.
Statistical Computing
R, Python, Stata, Matlab, Julia and other quantitative software for analysis, modelling and simulation.
Applied Research Methods
Research design, empirical strategy, model specification, robustness and interpretation of quantitative evidence.
TEACHING EXPERIENCE
Selected university teaching experience
University of Bologna
2014–present · Adjunct Professor, Lecturer and Teaching Assistant
Teaching across undergraduate, MSc and PhD programmes in Statistics, Probability, Econometrics, advanced econometrics, data mining, financial statistics and related quantitative subjects.
Free University of Bozen-Bolzano
2024–present · Adjunct Professor, Lecturing Assistant, Academic Subject Expert and Guest Lecturer
Teaching and teaching support in Econometrics, Econometrics for Economics, Econometrics for Finance, Information Systems and Data Management, and quantitative exercise sessions.
Information Systems and Data Management · course 27269 · with Prof. Andrea Molinari
SELECTED THESIS SUPERVISION
Selected quantitative thesis projects
Selected examples of thesis work supervised in statistics, econometrics and applied quantitative methods.
Financial Sentiment Analysis and Time-Series Models: ARIMA vs ARIMAX on the S&P 500
Financial sentiment, time-series modelling, rolling validation and forecast comparison.
University of Bologna · 2026
Conditional Volatility Analysis of the S&P 500 and Bitcoin Using GARCH Models
Conditional volatility, asymmetric GARCH specifications, heavy-tailed distributions and multivariate volatility modelling.
University of Bologna · 2026
VAR Models: Theoretical Foundations, Limitations and Empirical Applications in R
Multivariate time-series modelling, impulse responses, forecast error variance decomposition, forecasting and penalised VAR methods.
University of Bologna · 2025
TEACHING APPROACH
From concepts to independent reasoning
My teaching is organised around understanding why a method works, how it should be applied and how results should be interpreted. The objective is transferable reasoning rather than memorisation of isolated procedures.
1. Understand
Identify the statistical question, quantities, assumptions and objectives.
2. Develop
Connect formulas and methods to their assumptions and interpretation.
3. Apply
Use exercises, empirical examples and statistical software where useful.
4. Interpret
Evaluate results, diagnostics, uncertainty and limitations critically.
Teaching and academic communication can be conducted in English, Italian or Spanish.
TEACHING & ACADEMIC ENQUIRIES
Questions about courses or academic activities?
For university teaching and academic enquiries, feel free to get in touch. For individual quantitative support, the University Tutoring page provides separate information.