In occasione delle visite di Jean Jacod e di José Figueora-Lopez al
Dipartimetno di Scienze per l'Economia e dell'Impresa,
il giorno venerdì 18 maggio 2018, ore 10:00-18:00, a Firenze, presso il
Campus di Novoli, via delle Pandette 9 (edificio D6), aula 0.01, si
terrà il convegno
*Portfolio managing, stochastic processes and financial econometrics*
con il programma sotto descritto.
Tutti gli interessati sono cordialmente invitati a partecipare. Per
motivi organizzativi CHI INTENDE PARTECIPARE è pregato di INVIARE UNA
EMAIL a cecilia.mancini(a)unifi.it
*Programme:*
10:00 Jean Jacod, /Laboratoire de Probabilités/ et Modèles Aléatoires,
Université Pierre et Marie Curie-Paris 6,
/Modeling asset prices: small scale versus large scale///
11:00 José Figueora-Lopez, Department of Mathematics, Washington
University in St. Louis,
/Optimal Kernel Estimation of Spot Volatility of Stochastic Differential
Equations/
*BREAK 11:30, D6/1.02*
12:00 Luca Spadafora, Internal Model Validation, Banco BPM S.p.A.,
Milano, and Department of Computer Sciences, University of Verona,
/Jumping VaR: Order Statistics Volatility Estimator for Jumps
Classification and Market Risk Modeling/
12:30 Giannicola Simari, University of Pisa
/A new Value-based Investing Strategy: The Case of the S&P 500 Index /
*LUNCH 13:00*
14:30 Giampiero Maria Gallo, Italian Court of Auditors (Corte dei conti),
/Mitigating Measurement Error Effects in Volatility Forecasting/
15:00 Simona Sanfelici, Department of Economics and Management,
University of Parma,
/Estimation of the stochastic leverage effect using the Fourier
transform method
/
15:30 Rachele Foschi, Department of Economics and Management, University
of Pisa,
/Hawkes processes: continuous- and discrete-time stochastic intensity/
*BREAK 16:00, D6/1.02*
16:30 Francesca Lilla, Department of Management and Economics,
University of Florence,
TBA
17:00 Erindi Allaj, Department of Management and Economics, University
of Florence,
/Black-Litterman model and its out-of-sample performance/
17:30 Fabrizio Cipollini, Department of Statistics, Informatics and
Applications, University of Florence,
/Forecasting Optimal Portfolio Weights Using High-Frequency Data/