Given a set of continuous variables with missing data, we prove in this paper that the iterative application of a simple “least-squares estimation/multivariate normal simulation” procedure produces an efficient parameters estimator. There are two main assumptions behind our proof: (1) the...

Multiplicative Error Models (MEM) can be used to trace the dynamics of non–negative valued processes. Interactions between several such processes are accommodated by the vector MEM and estimated by maximum likelihood (Gamma marginals with copula functions) or by Generalized Method of Moments....

In financial time series analysis we encounter several instances of non–negative valued processes (volumes, trades, durations, realized volatility, daily range, and so on) which exhibit clustering and can be modeled as the product of a vector of conditionally autoregressive scale factors and a...

The purpose of this study was to investigate the contributions of Social Identify Theory’s variables to research performance. Regression models were applied on data of ten national research Council (Cnr) institutes of Piemonte, a highly industrialised region in North Western Italy.Results show...

Financial time series analysis has focused on data related to market trading activity. Next to the modeling of the conditional variance of returns within the GARCH family of models, recent attention has been devoted to other variables: first, and foremost, volatility measured on the basis of...

In this paper we investigate the existence of the economies of scale and density in the Italian water sector, in the period 2005-2007. For this purpose, given the current developments of the reform introduced by the Galli Law, we review the main studies on the cost variables and on the evidence...

We analyze several measures of volatility (realized variance, bipower variation and squared daily returns) as estimators of integrated variance of a continuous time stochastic process for an asset price. We use a Multiplicative Error Model to describe the evolution of each measure as the product...

In questo articolo si sviluppa un nuovo approccio per il calcolo del Value-at-Risk che utilizza il Filtro di Kalman per stimare il beta dei titoli di un portafoglio. Tale tecnica viene applicata al portafoglio azionario di una società assicurativa e confrontata con i metodi tradizionali basati...

Questo saggio analizza il NAIRU utilizzando un VAR cointegrato e dati che riferiscono al mercato del lavoro italiano. In questo saggio si mostrerà perché un VAR cointegrato rappresenta un approccio statisticamente adeguato alla stima del NAIRU, cioè un modo efficace di superare i diversi...