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The aim of this to study is to examine how non-performing loans on the balance sheets of Japanese banks affect their performance by adopting a material balance principle. The paper outlines how the material balance conditions can be applied when modelling banks' production process in the presence of non-performing loans. The paper utilizes the generalized weak G-disposability principle which accounts for the heterogeneity among banks' input quality. We test how an input-oriented model (non-performing loans are treated as an input), the weak disposability assumption and the adopted material balance approach, affect banks' performance levels. We apply our test on a sample of Japanese banks over the period 2013 to 2019. Our findings indicate that the input-oriented model and the material balance estimator even if they present similar distributions, they account differently the effect of non-performing loans' fluctuations over the examined period. In addition, the results under the weak disposability assumption are found to be different compared to the material balance measures and less sensitive to banks' non-performing loans variation levels. We also provide evidence that the generalized weak G-disposability assumption captures better banks' performance fluctuations that has been caused by the restructuring of the Japanese banking industry. [ABSTRACT FROM AUTHOR]

The objective of this study is three-fold. First we estimate and analyse bank efficiency and productivity changes in the EU28 countries with the application of a novel approach, a weighted Russell directional distance model. Second, we take a disaggregated approach and analyse the contribution of the individual bank inputs on bank efficiency and productivity growth. Third, we test for convergence in EU28 bank productivity as well as in the inefficiency of individual bank inputs. We find that bank efficiency has been undermined by the financial crisis in banks notably from the EU15 countries. We also argue that bank efficiency and productivity in EU countries vary across the banking sector with banks from the ‘old’ EU showing higher efficiency levels. Nonetheless, a noticeable catching up process is observed for banks from the ‘new’ EU countries. Consequently, we do not find evidence of group convergence for bank productivity but there is evidence of convergence in bank efficiency change and technical change among the EU28 countries throughout the period 2005–2014. The driving force seems to be convergent technical change from the old EU member states’ banks. On the other hand, almost no convergence is detected for the banks’ individual inputs while the transition paths show heightened diversity during the crisis years. [ABSTRACT FROM AUTHOR]

This study focuses on bank mergers and acquisitions (M&As) and applies a DEA based procedure that allows us to pre-evaluate technical efficiency gains from possible M&As in the Japanese regional banking sector. This approach provides a strategic tool for policy-makers to pre-evaluate possible M&As decisions based on performance criteria that are measured in terms of technical efficiency gains. The results clearly show that possible M&As formed by the smaller banks performed better compared with the possible M&As formed by the larger banks. Moreover, our findings imply that small regional banks will have possible efficiency gains when they merge with neighboring banks, whereas larger banks appear to have efficiency gains from merging with distant banks. [ABSTRACT FROM AUTHOR]

Abstract: We compare the ability of ordered choice models and support vector machines to model and predict international bank ratings. Although support vector machines can identify significant determinants we argue that ordered choice models are more reliable for this. Our findings suggest that ratings reflect a bank’s financial position, the timing of rating assignment and a bank’s country of origin. Accounting for country effects substantially improves predictive performance. We find that support vector machines can produce considerably better predictions of international bank ratings than ordered choice models due to the formers ability to estimate a large number of country dummies unrestrictedly. [ABSTRACT FROM AUTHOR]

We model EU countries' bank ratings using financial variables and allowing for intercept and slope heterogeneity. Our aim is to assess whether 'old' and 'new' EU countries are rated differently and to determine whether 'new' ones are assigned lower ratings, ceteris paribus, than 'old' ones. We find that country-specific factors (in the form of heterogeneous intercepts) are a crucial determinant of ratings. Whilst 'new' EU countries typically have lower ratings than 'old' ones, after controlling for financial variables we also discover that all countries have significantly different intercepts, confirming our prior belief. This intercept heterogeneity suggests that each country's rating is assigned uniquely, after controlling for differences in financial factors, which may reflect differences in country risk and the legal and regulatory framework that banks face (such as foreclosure laws). In addition, we find that ratings may respond differently to the liquidity and operating expenses to operating income variables across countries. Typically ratings are more responsive to the former and less sensitive to the latter for 'new' EU countries compared with 'old' EU countries. [ABSTRACT FROM AUTHOR]

Abstract: This study analyses the technical efficiency of Saudi banks using a two-stage DEA-data envelopment analysis approach. In the first stage, we use a bootstrapped DEA–VRS model to identify the efficiency scores, and in the second stage, we use a bootstrapped truncated regression model to identify the covariates that explain technical efficiency. Policy implications are derived. [ABSTRACT FROM AUTHOR]