The transmission mechanisms of volatility between markets can be characterized within a new Markov Switching bivariate model where the state of one variable feeds into the transition probability of the state of the other. A number of model restrictions and hypotheses can be tested to stress the...

La psicologia mostra che la probabilità soggettiva associata ad eventi economici futuri viene distorta in modo sistematico, rispetto a quella oggettiva, da elementi psicologici diffusi e persistenti. Lo stesso vale per l'interpretazione retrospettiva dei fatti economici. In particolare, si...

Italian Abstract: Questo lavoro presenta una metodologia per ricostruire la spesa energetica delle imprese manifatturiere italiane con almeno 20 addetti per il periodo 2003-2011. Si utilizzano una pluralità di fonti per imputare i consumi fisici di energia a livello di impresa nell'archivio...

Italian Abstract: In questo lavoro si analizza la dinamica del credito bancario al settore privato, dal ‘99 (ovvero dall'entrata in vigore dell'euro) al 2015. Si cerca di comprendere quali sono le variabili che spiegano il credito e che maggiormente ne condizionano l'evoluzione, capire le...

During the last three decades various models have been proposed by the literature to predict the risk of bankruptcy and of firm insolvency, which make use of structural and empirical tools, namely rating system, credit scoring, option pricing and three alternative methods (fuzzy logic, efficient...

This paper analyzes the linkages between banks� profitability and the main real and financial indicators. The results, derived by means of a reduced-form model for the period 1984-2002, highlight a strict relation between all income and cost components and the evolution of the economic...

Many ways exist to measure and model financial asset volatility. In principle, as the frequency of the data increases, the quality of forecasts should improve. Yet, there is no consensus about a "true" or "best" measure of volatility. In this paper we propose to jointly consider absolute daily...

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...

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...