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Bank Survival Around the World: A Meta-Analytic Review
Kočenda, Evžen ; Iwasaki, I.
Bank survival is essential to economic growth and development because banks mediate the financing of the economy. A bank’s overall condition is often assessed by a supervisory rating system called CAMELS, an acronym for the components Capital adequacy, Asset quality, Management quality, Earnings, Liquidity, and Sensitivity to market risk. Estimates of the impact of CAMELS components on bank survival vary widely. We perform a meta-synthesis and meta-regression analysis (MRA) using 2120 estimates collected from 50 studies. In the MRA, we account for uncertainty in moderator selection by employing Bayesian model averaging. The results of the synthesis indicate an economically negligible impact of CAMELS variables on bank survival; in addition, the effect of bank-specific, (macro)economic, and market factors is virtually absent. The results of the heterogeneity analysis and publication bias analysis are consistent in terms that they do not find an economically significant impact of the CAMELS variables. Moreover, best practice estimates show a small economic impact of CAMELS components and no impact of other factors. The study concludes that caution should be exercised when using CAMELS rating to predict bank survival or failure.
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Income Elasticity of Water Demand: A Meta-Analysis
Vlach, Tomáš ; Havránek, Tomáš (advisor) ; Červinka, Michal (referee)
If policymakers address water scarcity with the demand-oriented approach, the income elasticity of water demand is of pivotal importance. Its estimates, however, differ considerably. We collect 307 estimates of the income elasticity of water demand reported in 62 studies, codify 31 variables describing the estimation design, and employ Bayesian model averaging to address model uncertainty inherent to any meta-analysis. The studies were published between 1972 and 2015, which means that this meta-analysis covers a longer period of time than two previous meta-analyses on this topic combined. Our results suggest that income elasticity estimates for developed countries do not significantly differ from income elasticity estimates for developing countries and that different estimation techniques do not systematically produce different values of the income elasticity of water demand. We find evidence of publication selection bias in the literature on the income elasticity of water demand with the use of both graphical and regression analysis. We correct the estimates for publication selection bias and estimate the true effect beyond bias, which reaches approximately 0.2. 1
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Essays in Empirical Financial Economics
Žigraiová, Diana ; Jakubík, Petr (advisor) ; Witzany, Jiří (referee) ; Teplý, Petr (referee) ; Gächter, Martin (referee)
This dissertation is composed of four essays that empirically investigate three topics in financial economics; financial stress and its leading indicators, the relationship between bank competition and financial stability, and the link between management board composition and bank risk. In the first essay we examine which variables have predictive power for financial stress in 25 OECD countries, using a recently constructed financial stress index. We find that panel models can hardly explain FSI dynamics. Although better results are achieved in country models, our findings suggest that financial stress is hard to predict out-of- sample despite the reasonably good in-sample performance of the models. The second essay develops an early warning framework for assessing systemic risks and predicting systemic events over two horizons of different length on a panel of 14 countries. We build a financial stress index to identify the starting dates of systemic financial crises and select crisis-leading indicators in a two-step approach; we find relevant prediction horizons for each indicator and employ Bayesian model averaging to identify the most useful predictors. We find superior performance of the long-horizon model for the Czech Republic. The theoretical literature gives conflicting predictions on how bank...
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Essays in Empirical Financial Economics
Žigraiová, Diana ; Jakubík, Petr (advisor) ; Witzany, Jiří (referee) ; Teplý, Petr (referee) ; Gächter, Martin (referee)
This dissertation is composed of four essays that empirically investigate three topics in financial economics; financial stress and its leading indicators, the relationship between bank competition and financial stability, and the link between management board composition and bank risk. In the first essay we examine which variables have predictive power for financial stress in 25 OECD countries, using a recently constructed financial stress index. We find that panel models can hardly explain FSI dynamics. Although better results are achieved in country models, our findings suggest that financial stress is hard to predict out-of- sample despite the reasonably good in-sample performance of the models. The second essay develops an early warning framework for assessing systemic risks and predicting systemic events over two horizons of different length on a panel of 14 countries. We build a financial stress index to identify the starting dates of systemic financial crises and select crisis-leading indicators in a two-step approach; we find relevant prediction horizons for each indicator and employ Bayesian model averaging to identify the most useful predictors. We find superior performance of the long-horizon model for the Czech Republic. The theoretical literature gives conflicting predictions on how bank...
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Essays in Empirical Financial Economics
Žigraiová, Diana ; Jakubík, Petr (advisor) ; Witzany, Jiří (referee) ; Teplý, Petr (referee) ; Gächter, Martin (referee)
This dissertation is composed of four essays that empirically investigate three topics in financial economics; financial stress and its leading indicators, the relationship between bank competition and financial stability, and the link between management board composition and bank risk. In the first essay we examine which variables have predictive power for financial stress in 25 OECD countries, using a recently constructed financial stress index. We find that panel models can hardly explain FSI dynamics. Although better results are achieved in country models, our findings suggest that financial stress is hard to predict out-of- sample despite the reasonably good in-sample performance of the models. The second essay develops an early warning framework for assessing systemic risks and predicting systemic events over two horizons of different length on a panel of 14 countries. We build a financial stress index to identify the starting dates of systemic financial crises and select crisis-leading indicators in a two-step approach; we find relevant prediction horizons for each indicator and employ Bayesian model averaging to identify the most useful predictors. We find superior performance of the long-horizon model for the Czech Republic. The theoretical literature gives conflicting predictions on how bank...
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Income Elasticity of Water Demand: A Meta-Analysis
Vlach, Tomáš ; Havránek, Tomáš (advisor) ; Červinka, Michal (referee)
If policymakers address water scarcity with the demand-oriented approach, the income elasticity of water demand is of pivotal importance. Its estimates, however, differ considerably. We collect 307 estimates of the income elasticity of water demand reported in 62 studies, codify 31 variables describing the estimation design, and employ Bayesian model averaging to address model uncertainty inherent to any meta-analysis. The studies were published between 1972 and 2015, which means that this meta-analysis covers a longer period of time than two previous meta-analyses on this topic combined. Our results suggest that income elasticity estimates for developed countries do not significantly differ from income elasticity estimates for developing countries and that different estimation techniques do not systematically produce different values of the income elasticity of water demand. We find evidence of publication selection bias in the literature on the income elasticity of water demand with the use of both graphical and regression analysis. We correct the estimates for publication selection bias and estimate the true effect beyond bias, which reaches approximately 0.2. 1
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Price Elasticity of Electricity Demand: A Meta-Analysis
Horáček, Přemysl ; Havránek, Tomáš (advisor) ; Polák, Petr (referee)
During the last decades, one of the most intensively examined statistical relationships in energy economics has been the price elasticity of electricity demand. In this thesis, a quantitative survey of the estimates of price elasticity reported for various countries is provided. The method I use, called meta-regression analysis, indicates that the literature suffers from serious publication selection bias: positive or insignificant estimates of this elasticity are seldom reported, even though questionably large negative estimates are reported commonly. As a result, the average published estimates of price elasticity are greatly exaggerated (more than threefold in the case of short-run elasticity). By utilising the mixed- effects multilevel meta-regression, which is able to correct for publication selection bias, it is shown that the true average elasticity reaches only -0.06 in the short-run, -0.21 in the intermediate-run and about -0.43 in the long-run.
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Essays on Natural Resource Richness, Economic Growth and Institutional Quality
Zeynalov, Ayaz ; Horváth, Roman (advisor) ; Janda, Karel (referee) ; Frensch, Richard (referee) ; Hartwell, Christopher (referee)
Charles University in Prague Faculty of Social Sciences Institute of Economic Studies DISSERTATION THESIS ABSTRACT Essays on Natural Resource Richness, Economic Growth and Institutional Quality Author: Ayaz Zeynalov Supervisor: Doc. Roman Horvath, Ph.D Academic Year: 2016/2017 Abstract This dissertation consists of three empirical papers on natural resource, economic growth and institutional quality. The first paper analyzes possible publication bias and the reason for contradictory findings in the natural resource literature, the second paper examines the effect of natural resource exports on manufacturing performance in the 15 former Soviet Union countries, and the last addresses whether similarities in country income size and at the institutional level encourage increased amounts of bilateral trade between countries. An introductory chapter puts these three papers into perspective. In the first paper, I analyze 43 studies providing 605 different regression specifica- tions and found that approximately 40% report a negative and statistically significant effect, another 40% report no effect, and the remaining 20% report a positive and statistically significant effect of natural resources on economic growth. The findings show that including interaction between natural resources and institutional quality, controlling...
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Natural Resources and Economic Growth: A Meta-Analysis
Havránek, Tomáš ; Horváth, Roman ; Zeynalov, Ayaz
An important question in development studies is how natural resource richness affects long-term economic growth. No consensus answer, however, has yet emerged, with approximately 40% of empirical papers finding a negative effect, 40% finding no effect, and 20% finding a positive effect. Does the literature taken together imply the existence of the so-called natural resource curse? In a quantitative survey of 402 estimates reported in 33 studies, we find that the effect of natural resources on growth is very small when potential publication bias and method heterogeneity are taken into account. Our results also suggest that three aspects of study design are especially effective in explaining the differences in results across studies: 1) including an interaction between natural resources and institutional quality, 2) controlling for the level of investment activity, and 3) distinguishing between different types of natural resources.
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Bank Competition and Financial Stability: Much Ado about Nothing?
Havránek, Tomáš ; Žigraiová, Diana
The theoretical literature gives conflicting predictions on how bank competition should affect financial stability, and dozens of researchers have attempted to evaluate the relationship empirically. We collect 598 estimates of the competition-stability nexus reported in 31 studies and analyze the literature using meta-analysis methods. We control for 35 aspects of study design and employ Bayesian model averaging to tackle the resulting model uncertainty. Our findings suggest that the definition of financial stability and bank competition used by researchers influences their results in a systematic way. The choice of data, estimation methodology, and control variables also affects the reported coefficient. We find evidence for moderate publication bias. Taken together, the estimates reported in the literature suggest little interplay between competition and stability, even when corrected for publication bias and potential misspecifications.
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