Ensuring and disseminating high-quality data is crucial for central banks to adequately support monetary analysis and the related decision-making process. In this paper we develop a machine learning process for identifying errors in banks’ supervisory reports on loans to the private sector...

The recent financial crisis has induced firms to turn increasingly to financing sources other than bank credit, and banks to boost their income from non-lending services. This paper provides some evidence concerning possibility and convenience for Italian banks to expand the supply of financial...

FinTech credit has attracted significant attention from academics and policymakers in recent years. Given its growing importance, in this paper we provide an overview of the empirical research on FinTech credit to households and non-financial corporations (NFCs). We focus on three broad topics:...

Using a unique data set, this paper describes the main features of the venture capital industry in Italy. Operations by Italian specialised venture capitalists are only in part devoted to small, young firms from advanced industries, have a rather short duration and are weakly focused on a few...

Italian Abstract: Il lavoro analizza l'impatto che l'eterogeneità nel ricorso da parte della clientela bancaria ai servizi on line nei vari mercati locali ha avuto sulla successiva dinamica degli sportelli bancari. L'analisi, relativa al periodo 2012-15, si concentra sulla clientela retail, il...

Italy ranks among EU countries with the fewest women on bank boards. Using a rich dataset on Italian banks that combines individual data on bank governance with different measures of performance and risk, this paper analyses the determinants of the gender gap in top positions. Econometric...

We analyse the wide array of rescue programmes adopted in several countries, following Lehman Brothers' default in September 2008, in order to support banks and other financial institutions. We first provide an overview of the programmes, comparing their characteristics, magnitudes and...

This work proposes a novel approach for overcoming the current inconsistencies in ESG scores by using Machine Learning (ML) techniques to identify those indicators that better contribute to the construction of efficient portfolios. ML can achieve this result without needing a model-based...

The paper presents BIMic, a static and non-behavioural microsimulation model developed at the Bank of Italy. BIMic reproduces the main features of the Italian tax and benefit system, such as social security contributions, personal income tax, property taxes, family allowances and some other...

Italian Abstract: Questo lavoro presenta gli effetti di due interventi di revisione del sistema italiano di imposte e benefici attuati nel 2022: (i) l’introduzione dell’assegno unico e universale per i figli a carico (AUU), che ha sostituito un sistema frammentato di trasferimenti e...