Periods of Financial Stability are associated to low bank efficiency and high non-performing loans in credit portfolios. Therefore, this paper studies the relationship between bank efficiency and non-performing loans. To evaluate the bank efficiency, we employ a Data Envelopment Analysis. We...

This study applies data envelopment analysis and stochastic frontier approach to a sample of Indian commercial banks to discuss the inconsistencies between these models. We find that DEA average efficiency scores are, in general, lower than those from the SFA model. However, both models indicate...

Several specialists and authorities blame inflation targeting (IT) regime for not responding to the increasing systemic risk and the development of asset bubbles. Nevertheless, we employ a database with commercial banks from 71 countries between 1998 and 2012, and we present evidence that: banks...

This paper aims to study the effect of banking competition on Latin American banks' risk-taking and whether capitalization and size changes this relationship. We conclude that: (1) competition affects risk in a non-linear manner: high/low (average) competition are related to more (less)...

Recent literature has focused on the study of systemic risk in complex networks. It is clear now, after the crisis of 2008, that the aggregate behavior of the interaction among agents is not straightforward and it is very difficult to predict. Contributing to this debate, this paper shows that...

This paper compares the forecast precision of the Functional Signal plus Noise (FSN), the Dynamic Nelson-Siegel (DL), and a random walk model. The empirical results suggest that both outperform the random walk at short horizons (one-month) and that the the FSN model outperforms the DL at the...

This paper presents an empirical analysis of the Brazilian interbank network structure. The Brazilian interbank market clearly presents a topology that is compatible to the free-scale networks. This market is characterized by money centers, which have exposures to many banks and are the most...