银行增长的顺周期性与竞争环境:跨国证据

IF 0.5 Q4 ECONOMICS
Małgorzata Olszak, †. IwonaKowalska
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引用次数: 0

摘要

本文试图找出竞争环境在影响银行业增长对商业周期的敏感性方面所起的作用。为了回答这个问题,我们运用了大量的单个银行层面的数据,其中包括在 100 多个国家运营的 8000 多家银行。本研究使用资产、贷款、存款和杠杆率的增长作为银行增长的替代指标,并使用勒纳指数作为竞争环境的替代指标。分析表明,竞争减少与银行增长的顺周期性增加有关。然而,在完全竞争的环境中,银行的增长则是反周期的。这种影响在高收入国家和低收入国家之间有所不同。完全竞争环境与高收入国家的反周期增长相关。而低收入国家的结果则恰恰相反。我们对中东欧国家的研究结果表明,竞争加剧与增长的顺周期性增强有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Procyclicality of Bank Growth and Competitive Environment: Cross-country Evidence
This paper attempts to find out what is the role of competitive environment in shaping the sensitivity of growth in banking to the business cycle . To answer this question, we apply a large set of individual bank level data including over 8000 banks operating in more than 100 countries. This study uses the growth of assets, loans, deposits and leverage as proxies of bank growth and Lerner index as a proxy for the competitive environment. The analysis shows that decreased competition is associated with increased procyclicality of bank growth. However, in a perfectly competitive environment the growth turns out to be countercyclical. This effect differs between high-and low-income countries. A perfectly competitive environment is associated with countercyclical growth in high-income countries. The opposite result is found for low-income countries. Our results for Central Eastern European countries show that increased competition is associated with enhanced procyclicality of growth.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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