Anno Accademico 2023/2024

  • Docente: Giacomo Bormetti
  • Crediti formativi: 6
  • SSD: SECS-S/06
  • Lingua di insegnamento: Inglese
  • Moduli: Giacomo Bormetti (Modulo 1) Giacomo Bormetti (Modulo 2)
  • Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
  • Campus: Bologna
  • Corso: Laurea Magistrale in Matematica (cod. 5827)

Conoscenze e abilità da conseguire

The course aims at providing students with an introduction to affine modeling in finance. Thanks to their analytical tractability, affine models are largely used to parametrically describe the evolution of financial time series (returns, volatilities, jumps) and model the dynamics of interest rate term structures, survival probabilities, and, more recently, contagious markets. Affine modeling in continuous time represents a powerful tool to price and hedge options, interest rate derivatives, credit instruments and to capture the spreading of financial distress. In recent years, an affine approach in discrete time has been proven to be extremely successful to link time series econometrics (e.g. GARCH and Gamma (Realised) volatility modeling) to asset pricing. At the end of the course, the student is familiar with a flexible approach to modeling in finance and economics and with several applications of relevant interest for both regulators and the financial industry.


Introduction to securities markets: Model specifications, arbitrage and other economic considerations, risk neutral probability measures, valuation of contingent claims, complete and incomplete markets, risk and return, options, futures, and other derivatives.

Econometric Asset Pricing: Financial volatility and jumps: non parametric realised measures. Observation driven and parameter driven models. Stochastic discount factors: absolute and relative asset pricing. Esscher transform. GARCH and Gamma models. Moment generating functions and recursive option pricing formulas.


Pliska, Stanley R. Introduction to mathematical finance. Oxford: Blackwell publishers, 1997.

Gatheral, Jim. The volatility surface: a practitioner's guide. Vol. 357. John Wiley & Sons, 2011.

Christoffersen, P., Jacobs, K., Ornthanalai, C., & Wang, Y. (2008). Option valuation with long-run and short-run volatility components. Journal of Financial Economics, 90(3), 272-297.

Corsi, F., Fusari, N., & La Vecchia, D. (2013). Realizing smiles: Options pricing with realized volatility. Journal of Financial Economics, 107(2), 284-304.

Metodi didattici

Lectures at the blackboard.

Modalità di verifica e valutazione dell'apprendimento

Final oral exam.

Evaluation of learning

  • <18 insufficient
  • 18-23 sufficient
  • 24-27 good
  • 28-30 very good
  • 30 cum laude excellent

Important: the final will take place either at the Department of Mathematics or remotely via Microsoft Teams depending on the prevailing sanitary conditions.

Strumenti a supporto della didattica

Classroom lectures.

Orario di ricevimento

Consulta il sito web di Giacomo Bormetti


Istruzione di qualità Lavoro dignitoso e crescita economica

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.