The paper presents a competing-risks approach for investigating the determinants of corporate financial distress. In particular a comparative analysis of three European markets - France, Italy and Spain – is performed in order to find out the similarities and the differences in the...

In this paper we develop statistical models for bankruptcy prediction of Italian firms in the limited liability sector, using annual balance sheet information. Several issues involved in default risk analysis are investigated, such as the structure of the data-base, the sampling procedure and...

The paper presents a competing-risks approach for investigating the determinants of corporate financial distress. In particular a comparative analysis of three European markets - France, Italy and Spain – is performed in order to find out the similarities and the differences in the...

A data set of key macro-sustainability indicators, constructed after several fact-finding missions, and World Bank methodologies on estimating wealth accounting are used to study Mauritania's wealth, which is estimated to be between USD50 and USD60 billion. The country's produced wealth...

This work presents a stochastic framework for assessing public debt sustainability and applies it to the case of Mauritania. The sustainability assessment projects solvency and liquidity indicators -- public debt stock and gross financing needs relative to GDP -- for 2014-23. The analysis uses...

In this paper we propose the use of a threshold autoregressive conditional heteroakedastic model to examine the dynamic asymmetries in the unemployment rate time series. A simple extension that allows to account for seasonal variation is also considered. The model performance and the effect of...

Modeling crude oil volatility is of substantial interest for both energy researchers and policy makers. Many authors emphasize the link between this volatility and some exogenous economic variables. This paper aims to investigate the impact of the U.S. Federal Reserve monetary policy on crude...

Tools and approaches are provided for nonlinear time series modelling in econometrics. A wide range of topics is covered, including probabilistic properties, statistical inference and computational methods. The focus is on the applications but the ideas of the mathematical arguments are also...