2021
DOI: 10.2478/jcbtp-2021-0006
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Are risk weights of banks in the Czech Republic procyclical? Evidence from wavelet analysis

Abstract: We analyze the cyclicality of risk weights of banks in the Czech Republic from 2008 to 2016. We differentiate between risk weights under the internal ratings-based and those under the standardized approach, consider the financial cycle, and employ wavelet coherence as a means of dynamic correlation analysis. Our results indicate that the risk weights of exposures under the internal ratings-based approach, including risk weights related to exposures secured by real estate collateral, are procyclical with respec… Show more

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Cited by 3 publications
(5 citation statements)
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“…This underscores how inventive methodologies possess the potential to enrich risk evaluation within credit portfolios, potentially reshaping the landscape of risk management practices [54]. In essence, this convergence highlights the interplay between the analysis of financial dynamics and the regulatory landscape, emphasizing the potential for these insights to shape prudent and informed financial policies and practices [55].…”
Section: Discussionmentioning
confidence: 94%
“…This underscores how inventive methodologies possess the potential to enrich risk evaluation within credit portfolios, potentially reshaping the landscape of risk management practices [54]. In essence, this convergence highlights the interplay between the analysis of financial dynamics and the regulatory landscape, emphasizing the potential for these insights to shape prudent and informed financial policies and practices [55].…”
Section: Discussionmentioning
confidence: 94%
“…This has significantly increased the complexity of capital regulation in the area of banking sector capital regulation (Gai et al, 2019). 2 3 Moreover, over time, the evolution of risk weights determined by internal models has shown signs of inherent pro-cyclical developments (Andersen, 2011;Brož and Pfeifer, 2021). Inherent procyclicity of internal models (Brož and Pfeifer, 2021) is associated with too short a measurement of the actual cycle in these models.…”
Section: Model Approach and Procyclicity Of Risk Weightsmentioning
confidence: 99%
“…2 3 Moreover, over time, the evolution of risk weights determined by internal models has shown signs of inherent pro-cyclical developments (Andersen, 2011;Brož and Pfeifer, 2021). Inherent procyclicity of internal models (Brož and Pfeifer, 2021) is associated with too short a measurement of the actual cycle in these models. While the CRR assumes that the cycle lasts for around 8 years, Borio (2014) shows that the duration of the financial cycle can be up to 20 years.…”
Section: Model Approach and Procyclicity Of Risk Weightsmentioning
confidence: 99%
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