Continuous-time stochastic volatility models are becoming increasingly popular in finance because of their flexibility in accommodating most stylized facts of financial time series. However, their estimation is difficult because the likelihood function does not have a closed-form expression. In...

Questo paper tratta il problema di incorporare il rischio specifico nel VaR. Il problema viene affrontato ipotizzando che il processo di generazione dei dati sia una mistura di tre distribuzioni normali: la distribuzione relativa ai periodi "normali" genera la maggior parte delle osservazioni,...

The aim of this paper consists in testing the profitability of simple technical trading rules in the Italian stock market. By means of a recently developed bootstrap methodology we assess whether technical rules based on moving averages are capable of producing excess returns with respect to the...

In this paper we deal with the use of multivariate normal mixture distributions to model asset returns, In particular, by modelling daily asset returns as a mixture of a low-volatility and a high-volatility distribution, we obtain three main results: (i) we can use posterior probabilities to...

Introduction -- An overview of the literature -- Models without diffusion -- Technology, diffusion, and growth: a key trinomial -- Models with exogenous diffusion -- Models with endogenous diffusion -- An alternative approach: the advantages of continuous-time quantitative methods -- Econometric...