We study the impact that lower complexity in bank securitisations has on mortgage quality before and during the COVID-19 pandemic. We find that mortgages issued after the introduction of the new European regulation in 2018 that aims to reduce deal complexity are characterised by up to 0.10%...

We introduce a novel criterion for performance measure combination designed to be used as an equity screening algorithm. The proposed approach follows the general idea of linearly combining existing performance measures with positive weights and the combination weights are determined by means of...

The aim of this paper is to study the cross-sectional effects present in the market using a new framework based on graph theory. Within this framework, we represent the evolution of a dynamic portfolio, i.e. a portfolio whose weights vary over time, as a rank-based multivariate model where the...

Sharpe-like ratios have been traditionally used to measure the performances of portfolio managers. However, they are known to suffer major drawbacks. Among them, two are intricate: (1) they are relative to a peer's performance and (2) the best score is generally assumed to correspond to a "good"...

We represent the market for syndicated loans as a dynamic financial network and find that financial institutions have developed strong cross-border linkages over the 2000–2019 period. The most-connected financial institutions hold large shares of leveraged and covenant-lite loans. Our analysis...

This paper extends the methodology for a simultaneous detecting of business and growth cycle, already developed for the euro area, to its major member countries. The best performing indicators for each country are identified through a simulation exercise. An indirect pair of turning point...

In this paper we propose two dynamic approaches to measure synchronisation in the Euro area. First of all to be able to take into account dynamics in correlation and possible changes in variability, we consider a multivariate DCC GARCH model. Secondly, we propose to use the set of probabilistic...

In the paper we introduce a system for statistical detection of turning points in the euro area based on the class of multivariate Markov-switching models. Component series considered in the application are monthly short term statistics released by Eurostat, business and consumer surveys...

We propose a multivariate combination approach to prediction based on a distributional state space representation of the weights belonging to a set of Bayesian predictive densities which have been obtained from alternative models. Several specifications of multivariate time-varying weights are...

This paper proposes a panel Markov-Switching (MS-) VAR model suitable for a multi-country analysis of the business cycle. We study the business cycles fluctuations of a group of countries, analyse the transmission of shocks across cycles and predict the turning points of the country-specific...