159 research outputs found
Development of bank acquisition targets prediction models
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Determinants of profitability of domestic UK commercial banks: panel evidence from the period 1995-2002
The impact of foreign direct investment on total factor productivity growth: international evidence from the banking industry
Regulations and productivity growth in banking
This paper examines the relationship between the regulatory and supervision framework and the productivity of banks in 22 countries over the period 1999-2006. We follow a semi-parametric two-step approach that combines Malmquist index estimates with bootstrap regressions. The results indicate that regulations and incentives that promote private monitoring have a positive impact on productivity. Restrictions on banks’ activities relating to their involvement in securities, insurance, real estate and ownership of non-financial firms also have a positive impact. However, regulations relating to the first and second pillars of Basel II, namely capital requirements and official supervisory power do not appear to have a statistically significant impact on productivity.Banks; Basel II; Productivity; Regulations
Bank liquidity and the board of directors
This short paper presents the first attempt to examine empirically the relationship between the level of bank liquidity and the structure of the board of directors, in terms of board size and independence. A novel database on these board characteristics is built that includes banks operating in 10 OECD countries during the period 2000-2006. We find a negative relationship between board size and liquidity, while the impact of board independence is U-shaped. Therefore, we contend that considerations linked to these effects can have interesting implications for the design of bank conduct and for the quality of bank portfolios.Banks; Board size and independence; Liquidity risk
Regulations, competition and bank risk-taking in transition countries
This study investigates whether regulations have an independent effect on bank risk-taking or whether their effect is channeled through the market power possessed by banks. Given a well-established set of theoretical priors, the regulations considered are capital requirements, restrictions on bank activities and official supervisory power. We use data from the Central and Eastern European banking sectors over the period 1998-2005. The empirical results suggest that banks with market power tend to take on lower credit risk and have a lower probability of default. Capital requirements reduce risk in general, but for banks with market power this effect significantly weakens. Higher activity restrictions in combination with more market power reduce both credit risk and the risk of default, while official supervisory power has only a direct impact on bank risk.Banking sector reform, regulations, competition, risk-taking, CEE banks
Do national differences in social capital and corporate ethical behaviour perceptions influence the use of collateral? Cross-country evidence
An application of multicriteria decision aid models in the prediction of open market share repurchases
This study presents the first attempt to develop classification models for the prediction of share repurchase announcements using multicriteria decision aid (MCDA) techniques. We use three samples consisting of 434 UK firms, 330 French firms, and 296 German firms, to develop country-specific models. The MCDA techniques that are applied for the development of the models are the UTilités Additives DIScriminantes (UTADIS) and the ELimination and Choice Expressing REality (ELECTRE) TRI. We adopt a 10-fold cross validation approach, a re-sampling technique that allows us to split the datasets in training and validation sub-samples. Thus, at the first stage of the analysis the aim is the development of a model capable of reproducing the classification of the firms considered in the training samples. Once this stage is completed, the model can be used for the classification of new firms not included in the training samples (i.e. validation stage). The results show that both MCDA models achieve quite satisfactory classification accuracies in the validation sample and they outperform both logistic regression and chance predictions. The developed models could provide the basis for a decision tool for various stakeholders such as managers, shareholders, and investment analysts
Determinants of bank efficiency: evidence from a semi-parametric mathodology
Purpose 13 This paper aims to analyze bank efficiency into a number of bank-specific, industryspecific and macroeconomic determinants.
Design/methodology/approach 13 The authors follow a semi-parametric two-stage methodology, where productive efficiency is derived via a non-parametric technique in the first stage and then the scores obtained are linked to a series of determinants of bank efficiency, using a double bootstrapping procedure.
Findings 13 Overall, it is found that the banking sectors of almost all the sample countries show a gradual improvement in their efficiency levels. The model used shows that a number of determinants like bank size, industry concentration and the investment environment have a positive impact on bank efficiency, which is not the case when standard Tobit models are employed.
Research limitations/implications 13 The findings have important implications for the relevance
of well-known hypotheses that refer to the performance of the banking sectors, like the structure conduct-performance and the efficient structure hypotheses. These implications are not necessarily verified when past conventional econometric methodologies are used.
Practical implications 13 The paper offers new insights to policy makers, bank managers and
practitioners on the relevance of a number of driving factors of bank efficiency that might help them to improve the performance of the banking system and enhance the quality of services provided.
Originality/value 13 This is the first paper in the bank efficiency literature that employs a semiparametric two-stage model, which relaxes several deficiencies of previous two-stage empirical approaches thus, offering a solution to the many problematic features of standard censored regression
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