This paper presents an application of neural network models to predictive classification for data quality control. Our aim is to identify data affected by measurement error in the Bank of Italy�s business surveys. We build an architecture consisting of three feed-forward networks for...

A remarkable feature of short-term business finance is the widespread use of trade credit as collateral in bank borrowing, especially by small and medium-sized firms. The paper models the incentives for a firm to collateralize accounts receivable as a trade-off between the benefit from lower...

Financial innovation has increased opportunities for diversification and lowered investment costs, but has not reduced the relative cost of active (informed) investment strategies compared with passive (less informed) strategies. What are the consequences? I have studied an economy with linear...

We investigate the duration of bad loans for a unique data set of sole proprietorships in Italy, finding that bad loans for female firms last longer. However, this result is mainly due to the fact that loans granted to female firms are less frequently written off than those to male ones,...

The two recessions that have hit Italy since the end of 2008 have raised the share of non-performing loans to businesses in banks� portfolios substantially. In this paper we evaluate to what extent the deterioration of credit quality was due not only to the decline in firms� sales...

High concentration of creditors can have two beneficial effects on borrowers: i) by enhancing lenders� ability to monitor, it can reduce the likelihood of financial distress; ii) by reducing coordination failure among creditors, it can help a distressed firm to avoid bankruptcy. However, a...

The literature on debt restructuring usually assumes that banks behave in a uniform way towards firms in distress. Using a recent survey of Italian banks, we show that banks follow different strategies when they decide whether to take part in the workout process, in that some of them do...

Assessing the global economic outlook is a fundamentally important task of international financial institutions, governments and central banks. In this paper we focus on the consequences of the rapid growth of emerging markets for monitoring and forecasting the global outlook. Our main results...

Business investment is a very important variable for short- and medium-term economic analysis, but it is volatile and difficult to predict. Qualitative business survey data are widely used to provide indicators of economic activity ahead of the publication of official data. Traditional...

In this paper we explore the performance of bridge and factor models in forecasting quarterly aggregates in the very short-term subject to a pre-selection of monthly indicators. Starting from a large information set, we select a subset of targeted predictors using data reduction techniques as in...