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 time...

We develop a dynamic multivariate default model for a portfolio of credit-risky assets in which default times are modelled as random variables with possibly different marginal distributions, and Lévy subordinators are used to model the dependence among default times. In particular, we define a...

We study the mobility of Italian firms across different lending banks in the aftermath of Lehman Brothers' collapse, when 40 per cent of the firms analysed changed their pool of lending banks. Using a unique dataset on a sample of about 3,000 Italian firms that encompasses financial and economic...

We reinvestigate the question of whether corporate investment during the financial crisis depended to a significant extent, and differently than in the pre-crisis period, on firms' short-term liquidity and indebtedness. Using data on listed firms in the euro area and the United Kingdom, we...

This paper examines whether the regulatory approach adopted by banks to calculate capital requirements has a different impact on the loan rates for public and private companies when financial market conditions change. Using Italian data for the period 2008-18, the analysis documents that the...

To contribute to the understanding of investment funds' (IFs) behaviour, the paper exploits the exogenous shock of the COVID-19 pandemic and analyses more than 12 million security sales and purchases during the first four months of 2020 by over 20,000 IFs from more than 40 national jurisdictions...

The work analyses the characteristics of supply in the Italian credit market with a focus on the years 2009-2014. By using a new survey, I find that approximately 40 percent of the decline in business lending originates in the tightening of bank credit standards, with a significant decrease in...

Using proprietary monthly holdings data from Morningstar, we show that Environmental, Social, and Governance funds’ trading during the Covid-19 market crash was consistent with the choices of their clientele. Thus, ESG funds helped to stabilize the market for ESG stocks, but interestingly...

The no-arbitrage affine Gaussian term structure model is used to analyse the impact of macroeconomic surprises on the nominal and the real term structure in the euro area and in the United States. We find that nominal rates are affected by surprises in economic growth, the labour market and the...