Is foreign-bank efficiency in financial centers driven by home or host country characteristics?

Curi, Claudia; Guarda, Paolo; Lozano‐Vivas, Ana; Zelenyuk, Valentin

doi:10.1007/s11123-012-0294-y

Cited by 27 publications

(6 citation statements)

References 57 publications

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“…For example, Du et al (2018) focused on the performance of banks in China, Fukuyama (1993); Fukuyama and Weber (2015) in Japan, Casu et al (2013) in India, Simper et al (2017) in Korea, Curi et al (2013Curi et al ( , 2015 in Luxembourg, Camanho and Dyson (2005) in Portugal, etc. Meanwhile, a few studies focused on a set of countries, e.g., Casu et al (2004), Koutsomanoli-Filippaki et al (2009), Kenjegalieva et al (2009a) and Lozano-Vivas et al (2002) analyzed sub-sets of European countries.…”

Section: Envelopment Estimatorsmentioning

confidence: 99%

“…Currently, the state of the art here (albeit with its own caveats) is the method of Simar and Wilson (2007), who pointed out that (under certain conditions) truncated regression is more appropriate and the inference can be improved with the help of bootstrap. 6 For the context of banking, these types of models were considered by Curi et al (2013Curi et al ( , 2015 and Du et al (2018), to mention a few.…”

Section: Regression Analysis With Dea and Fdh Estimatesmentioning

confidence: 99%

“…, Camanho and Dyson (2005),Du et al (2018),Casu et al (2013),Curi et al (2013Curi et al ( , 2015,Simper et al (2017),Casu et al (2004),Koutsomanoli-Filippaki et al (2009),Kenjegalieva et al (2009a) to mention a few.…”

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confidence: 99%

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Review of Modern Approaches for Assessing the Effectiveness of Banking

Леонов¹

2021

JAER

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In the current circumstances of digital transformation of the economy, the study of the efficiency of commercial banks is widely demanded and provides an opportunity for identifying the prerequisites for the formation of a sustainable financial system. Despite the large number of scientific publications in this field, there are no systematic studies that summarize the existing methodological framework for the study of the effectiveness of banking activities. The purpose of the article is to critically analyze the approaches to assessing the efficiency of banking activities and prospects for its improvement in the digital economy. The complexity of assessing the effectiveness of commercial banks consists in the multiplicity of forms of output and resources used for this process. In this study, the author puts forward a hypothesis that the implementation of modern approaches and methods to assess the effectiveness of banking activities can improve the accuracy of the assessment itself, and help identify factors that increase the effectiveness of such activities. The article is based on English-language scientific papers published in between 2016 and 2020 and indexed in the international scientometric database «Web of Science». The author applies the method of systematic bibliographic study of the set of publications, highlights the main discussion issues of the recent years, namely, research methodology, internal efficiency factors, country specifics of banking activities. The article reveals the content, certain issues, and the limits of the applicability of the nonparametric method of data envelopment analysis and the parametric method of stochastic frontier analysis in assessing the effectiveness of activities. Particular attention is paid to the generalization of research results in terms of identifying factors that have a significant impact on the effectiveness of commercial banks: ownership structure, returns to scale, regulation. The author highlights the increasing role of information technology as a key production factor, highlights the phenomenon of breaking the value chain in banking activities, the formation of new business models and the functioning of banking ecosystems. The scientific and practical significance of the article lies in the gain of knowledge, which might provide the basis for the development of measures to improve banking regulation, as well as serve as the framework for the identification of the most effective forms of banking intermediation.

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Section: Envelopment Estimatorsmentioning

confidence: 99%

Section: Regression Analysis With Dea and Fdh Estimatesmentioning

confidence: 99%

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Review of Modern Approaches for Assessing the Effectiveness of Banking

Леонов¹

2021

JAER

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“…The multiplicative form of the DEA-VRS model is usually referred to as the BCC model due to Banker et al (1984) (also see Afriat (1972); ). For the context of banking these types of models were applied by Aly et al (1990), Charnes et al (1990) and Ferrier and Lovell (1990), English et al (1993) and Wheelock and Wilson (2000), Fukuyama (1993); Fukuyama and Weber (2015), Camanho and Dyson (2005), Du et al (2018), Casu et al (2013), Curi et al (2013Curi et al ( , 2015, Simper et al (2017), Casu et al (2004), Koutsomanoli-Filippaki et al (2009), Kenjegalieva et al (2009a) to mention a few.…”

Section: Returns To Scale and Convexitymentioning

confidence: 99%

Bank performance analysis

Zelenyuk¹,

Zelenyuk²

2021

Handbook of Research Methods and Applications in Empirical Microeconomics

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The goal of this chapter is to overview the current state of the art analysis of banking performance. For this, we navigate through the literature that has been prospering during the recent decades. In particular, we start with a brief discussion of the ratio analysis for measuring bank performance, which is still very popular in practice.Then we consider such popular productivity and efficiency analysis methods as data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Then, we provide a brief review of other econometric methods that became leading in the recent finance literature that involve techniques of casual inference, including difference-in-differences (DD) and regression discontinuity design (RDD).

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“…The DEA approach is a commonly applied non-parametric method to compute efficiency scores. It is combined here with a second stage regression analysis to determine factors explaining the level of bank efficiency (Casu et al, 2011;Curi et al, 2013). More specifically, we use a fuzzy multi-objective two-stage DEA approach to measure bank efficiency.…”

Section: Introductionmentioning

confidence: 99%

The role of bank affiliation in bank efficiency: a fuzzy multi-objective data envelopment analysis approach

et al. 2020

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This paper examines differences in bank efficiency between banks affiliated with single-bank holding companies and those affiliated with multi-bank holding companies by applying a fuzzy multi-objective two-stage data envelopment analysis technique. Using a sample of U.S. commercial banks covering 1994-2018, the results show that banks affiliated with multi-bank holding companies are more efficient than those affiliated with single-bank holding companies, suggesting that the former takes advantage of their parents' resources to enhance their efficiency, consistent with the internal capital market theory. They also show that banks with a powerful CEO exhibit lower efficiency than others. Moreover, there is an inverted U shape relationship between multi-bank holding company structure and bank efficiency, suggesting the presence of an optimal number of multi-bank holding subsidiaries that maximizes efficiency.

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Is foreign-bank efficiency in financial centers driven by home or host country characteristics?

Cited by 27 publications

References 57 publications

Review of Modern Approaches for Assessing the Effectiveness of Banking

Review of Modern Approaches for Assessing the Effectiveness of Banking

Bank performance analysis

The role of bank affiliation in bank efficiency: a fuzzy multi-objective data envelopment analysis approach

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