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Dr. Riccardo Brignone

Wissenschaftlicher Mitarbeiter der Abteilung für Quantitative Finanzmarktforschung

   
Dr. Riccardo Brignone

 
Abteilung für Quantitative Finanzmarktforschung
Wirtschafts- und Verhaltenswissenschaftliche Fakultät
Albert-Ludwigs-Universität Freiburg
Rempartstraße 16
79098 Freiburg i. Br.
(Germany)

 

Sprechzeiten / Kontakt

Tel.: +49 761 203 97826

E-Mail: riccardo.brignone@finance.uni-freiburg.de

Raum: 03-19

Sprechzeiten nach Vereinbarung

 

 

Lehre

  • WS 2022/23: Portfolio Management, Übung
  • SoSe 2022: Principles of Finance, Übung
  • WS 2021/22:Portfolio Management, Übung
  • WS 2021/22: Futures and Options, Übung
  • SoSe 2020: Principles of Finance, Zusatztutorat

 

Forschungsinteressen

  • Derivatives pricing
  • Term Structure of Interest Rates
  • Financial Econometrics

 

Publikationen

 
  • Efficient Quasi-Bayesian Estimation of Affine Option Pricing Models Using RiskNeutral Cumulants, with L. Gonzato and E. Lütkebohmert, Journal of Banking and Finance, Forthcoming
  • Unified moment-based modelling of integrated stochastic processes, with I. Kyriakou and G. Fusai, Operations Research, Forthcoming
  • Commodity Asian Option Pricing and Simulation in a 4-Factor Model with Jump Clusters, with L. Gonzato and C. Sgarra, Annals of Operations Research, Forthcoming
  • Moments of integrated exponential Lévy processes and applications to Asian options pricing, Quantitative Finance (2022), 22, 1717-1729
  • Arbitrage-Free Nelson-Siegel Model for Multiple Yield Curves, with C. Gerhart and E. Lütkebohmert, Mathematics and Financial Economics (2022), 15, 239-266
  • A Gamma Ornstein-Uhlenbeck model driven by a Hawkes process, with G. Bernis, S. Scotti and C. Sgarra, Mathematics and Financial Economics (2021) 15, 747-773
  • Moment-matching approximations for stochastics sums in non-Gaussian Ornstein-Uhlenbeck models, with I. Kyriakou and G. Fusai, Insurance: Mathematics and Economics (2021), 96, 232-247
  • Asian options pricing in Hawk-type jump-diffusion models, with C. Sgarra, Annals of Finance (2020), 16, 101-119

 

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