We propose a method for calculating the macroeconomic costs of banking crises that controls for the downward impact of recessions on banking activity. In contrast to earlier research, we estimate the cost of crises based on the size of banking crises. The extent of a crisis is measured using...

The paper employs a recently developed procedure, based on a bivariate Markov switching model, to analyze the asymmetric causality linkages between credit growth and output growth during banking crises. Using a sample of 103 banking crises, we find that neither credit nor output leads the other...

Like many countries, Spain has gone through a series of financial crises, both before and after its industrialization. There are many underlying causes for these crises, as well as for the current Spanish downturn. It is worth noting that there are similarities between recessions throughout the...

This study examines the relationship between financial liberalization and the advent probability of banking crises because of institutional quality. We used a logit panel data for a sample of fifty developing countries during the period (1990-2014). The results show that there is a positive...

We document the development of the major international banks since the late nineties, analysing balance sheet data for 27 large and complex financial institutions. We argue that balance sheet expansion and business line diversification paved the way to the rise of the universal banking model....

This paper focuses on some of the macroeconomic risks that lie ahead for Latin America. The discussion is informed by my work on crises and capital flows and their macroeconomic consequences. The trends and initial conditions that allowed the region to weather the global economic storm of...

We examine the relationship of banking crises with economic growth and recessions. Our data cover 21 economies from around the world, most from 1870 to 2009 with the rest starting in 1901 or earlier. The data include capital investment and human capital formation. We have two major findings....

The paper examines a wide range of potential predictors of 25 international banking crises that broke out in 2007–2011 on the basis of cross–sectional logit models and the BCT (binary classification tree) algorithm, a novel technique in assessing the causes of banking crises. The major...

The ability to predict bank failure has become much more important since the mortgage foreclosure crisis began in 2007. The model proposed in this study uses proxies for the regulatory standards embodied in the so-called CAMELS rating system, as well as several local or national economic...

This paper presents a novel methodology to calculate thresholds in an early warning signalling framework for extracting signals useful to predict the occurrence of banking crises. The conditional moments based methodology does not rely on assumptions on an objective function trading off Type I...