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...

Nell'ottica di una valutazione dell'impatto di riforme del sistema di imposte e benefici sull'offerta di lavoro, sulla finanza pubblica e sulla distribuzione del reddito rivestono fondamentale importanza la qualità e la reliability dei dati necessari alla costruzione del data-set di variabili...

Nonlinear time series models can exhibit components such as long range trends and seasonalities that may be modeled in a flexible fashion. The resulting unconstrained maximum likelihood estimator can be too heavily parameterized and suboptimal for forecasting purposes. The paper proposes the use...

In this paper we address the issue of forecasting Value–at–Risk (VaR) using different volatility measures: realized volatility, bipower realized volatility, two scales realized volatility, realized kernel as well as the daily range. We propose a dynamic model with a flexible trend...

We investigate the occurrence of risk sharing among Italian regions with respect to both long run and short run income fluctuations by means of Vector Equilibrium Correction Models (VEqCMs) which allow to test all implications of the theory without preliminary filtering or transformations of...