Dipartimento di Economia e Management

Seminario / Workshop
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Extreme events in economics, finance and society: measurement, prediction and management
Intermediate Workshop - PRIN 2022
, ORE 9:30
Palazzo di Economia ,Via Inama 5, Trento
Sala seminari primo piano
Ingresso libero
Organizzato da: Dipartimento di Economia e Management
Destinatari: Comunità universitaria
Contatti:
Staff del Dipartimento di Economia e Management
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Program

9.30 – 9.45: Welcome and introduction
Marco Bee, University of Trento

9.45 – 10.30: An introduction to probabilistic forecasting of univariate extremes: the case of Block Maxima and Peaks Over Threshold
Stefano Rizzelli, University of Padova 

10.30– 10.45: Coffee break

10.45 – 11.30: Causal discovery for multivariate extremes
Linda Mhalla, EPFL Lausanne

11.30 – 12.15: Statistical prediction of Peaks Over Threshold: predictive density estimation, riskassessment and uncertainty quantification
Simone Padoan, Bocconi University

12.15 – 14.00: Lunch

14.00 – 14.45:  Asylum-Seekers at the Extremes
Mohammad Noori, University of Trento

14.45 – 15.30: Mixture models for heterogeneous extremes
Ilaria Prosdocimi, Ca' Foscari University

15.30 – 16.15: Cluster of extreme values for models with stochastic recurrence representation and their application to economics and finance
Fabrizio Laurini, University of Parma

16.15 – 17.00: Discussion

  • Marco Bee, University of Trento
  • Carlotta Pacifici, University of Bologna
  • Sandra Paterlini, University of Trento
  • Massimo Ricci, University of Bologna
  • Emanuele Taufer, University of Trento
  • Luca Trapin, University of Bologna

Organized by:

  • Marco Bee, Department of Economics and Management, University of Trento
  • Mohammad Noori, Department of Economics and Management, University of Trento
  • Luca Trapin, Department of Statistical Sciences P. Fortunati, University of Bologna

This workshop is sponsored by the European Union-Next Generation EU, within the scope of the PRIN2022 project "Prediction and causal inference on the tail index for policy decisions”, grant number: (2022NA2C8Z) -CUPE53D23006380006.