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...

This paper analyses the financial and economic conditions of the companies in the portfolios of Italian private equity funds. Information from an ad hoc survey of Italian asset management companies, combined with accounting data for 2008 drawn from the Central Credit Register, is used to develop...

Policy evaluation based on the estimation of dynamic stochastic general equilibrium models with aggregate macroeconomic time series rests on the assumption that a representative agent can be identified, whose behavioural parameters are independent of the policy rules. Building on earlier work by...

In this paper we consider several time-varying volatility and/or heavy-tailed models to explain the dynamics of return time series and to fit the volatility smile for exchange-traded options where the underlying is the main �Borsa Italiana� stock index. Given observed prices for the...

Most of the important models in finance rest on the assumption that randomness is explained through a normal random variable because, in general, the use of alternative models is obstructed by the difficulty of calibrating and simulating them. In this paper, we empirically study models for...

Aim of this article is to judge the empirical performance of 'ARCH models as diffusion approximations' of models of the short-term rate with stochastic volatility. Our estimation strategy is based both on moment conditions needed to guarantee the convergence of the discrete time models and on...

This paper uses Garch models to estimate the objective and risk-neutral density functions of financial asset prices and, by comparing their shapes, recover detailed information on economic agents' attitudes toward risk. It differs from recent papers investigating analogous issues because it uses...

A time series model in which the signal is buried in non-Gaussian noise may throw up observations that are outliers when judged by the Gaussian yardstick. We describe an observation-driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which the signal...

We compare two EGARCH models, which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a...

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,...