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...

The paper looks at the characteristics of Italian non-financial firms that accessed the bond market for the first time between 2002 and 2013. The results of logit estimations indicate that first-time bond issuers are significantly larger and more frequently listed on the stock exchange than...

Extreme value theory is concerned with the study of the asymptotical distribution of extreme events, that is to say events which are rare in frequency and huge with respect to the majority of observations. Statistical methods derived from this theory have been increasingly employed in finance,...

This paper studies the characteristics of the Italian nonfinancial firms using derivatives and the purpose of the derivatives use according to the most important literature in financial risk management. By using the Italian credit register and balance sheet data this study extends for the first...

This paper presents a general test of contagion in financial markets based on bivariate correlation analysis � a test that can be interpreted as an extension of the normal correlation theorem. Contagion is defined as a structural break in the data generating process of rates of return....

This paper develops a methodology for identifying systemically important financial institutions based on that developed by the Basel Committee on Banking Supervision (2011) and used by the Financial Stability Board in its yearly G-SIBs identification. The methodology uses publicly available data...

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...

This paper introduces a coincident indicator of systemic liquidity risk in the Italian financial markets. In order to take account of the systemic dimension of liquidity stress, standard portfolio theory is used. Three sub-indices, that reflect liquidity stress in specific market segments, are...

We build a microsimulation model to monitor the financial vulnerability of Italian households. Starting from household-level data from the Survey on Household Income and Wealth and matching them with macroeconomic forecasts on debt and income, we project the future path of households’...