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...

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...

In 2010, the Lisbon Strategy came to its end. Even if many targets have not been fully reached by each of the 27 EU Members, a new and more ambitious reform strategy has been launched: the Europe 2020 Strategy. In order to evaluate the results of the Lisbon Strategy and of Europe 2020 Strategy,...

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...

The explosion of algorithmic trading has been one of the most prominent recent trends in the financial industry. Algorithmic trading consists of automated trading strategies that attempt to minimize transaction costs by optimally placing orders. The key ingredient of many of these strategies are...

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...

Lo studio teorico ed empirico delle determinanti delle scelte individuali in condizione di incertezza uno dei temi pi affascinanti e pi irrisolti in economia e le sue implicazioni sono assai rilevanti in quanto riguardano la maggioranza delle nostre decisioni. Assai numerose sono nella realtˆ...

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...