Risk Governance, Market Competition and Operational Risk Disclosure Quality: A Study of the ASEAN-5 Banking Sector

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE Journal of Operational Risk Pub Date : 2020-11-03 DOI:10.21314/jop.2021.004
Etikah Karyani, O. Kolade, Setio Anggoro Dewo
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引用次数: 1

Abstract

This paper investigates the impact of risk governance and market competition on banks’ operational risk disclosure (ORD) quality (total and voluntary) in the Association of Southeast Asian Nations (ASEAN-5) banking sector. Using 285 firm-year observations encompassing the period 2010–14 for risk governance indexes, we investigate the moderating effects of market competition, relative to total risk governance practices, on banks’ ORD quality. The results of our panel data analysis show that there is a substitution effect of competition, which could reduce the adverse consequences of weak risk governance practices. However, governance factors – such as the chief risk officer’s (CRO’s) role and independence, and the risk communication system – decrease voluntary ORD quality. These findings have implications for the role of the financial regulator in using market competition as an effective mechanism to replace banks’ weak risk governance, thus encouraging banks to improve their ORD quality. This study contributes to existing knowledge by providing new empirical insights into ongoing debates about the complementary or substitutionary role of competition policies and corporate governance practices.
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风险治理、市场竞争与操作风险披露质量:基于东盟五国银行业的研究
本文研究了风险治理和市场竞争对东南亚国家联盟(ASEAN-5)银行业操作风险披露(ORD)质量(total and voluntary)的影响。利用2010年至2014年期间285家公司的风险治理指数观察结果,我们研究了相对于总体风险治理实践,市场竞争对银行ORD质量的调节作用。我们的面板数据分析结果表明,竞争存在替代效应,这可以减少弱风险治理实践的不良后果。然而,治理因素——例如首席风险官(CRO)的角色和独立性,以及风险沟通系统——降低了自愿ORD的质量。这些发现对金融监管机构在利用市场竞争作为有效机制来取代银行薄弱的风险治理方面的作用具有启示意义,从而鼓励银行提高其ORD质量。本研究通过为竞争政策和公司治理实践的互补或替代作用的持续争论提供新的实证见解,有助于现有知识。
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来源期刊
Journal of Operational Risk
Journal of Operational Risk BUSINESS, FINANCE-
CiteScore
1.00
自引率
40.00%
发文量
6
期刊介绍: In December 2017, the Basel Committee published the final version of its standardized measurement approach (SMA) methodology, which will replace the approaches set out in Basel II (ie, the simpler standardized approaches and advanced measurement approach (AMA) that allowed use of internal models) from January 1, 2022. Independently of the Basel III rules, in order to manage and mitigate risks, they still need to be measurable by anyone. The operational risk industry needs to keep that in mind. While the purpose of the now defunct AMA was to find out the level of regulatory capital to protect a firm against operational risks, we still can – and should – use models to estimate operational risk economic capital. Without these, the task of managing and mitigating capital would be incredibly difficult. These internal models are now unshackled from regulatory requirements and can be optimized for managing the daily risks to which financial institutions are exposed. In addition, operational risk models can and should be used for stress tests and Comprehensive Capital Analysis and Review (CCAR). The Journal of Operational Risk also welcomes papers on nonfinancial risks as well as topics including, but not limited to, the following. The modeling and management of operational risk. Recent advances in techniques used to model operational risk, eg, copulas, correlation, aggregate loss distributions, Bayesian methods and extreme value theory. The pricing and hedging of operational risk and/or any risk transfer techniques. Data modeling external loss data, business control factors and scenario analysis. Models used to aggregate different types of data. Causal models that link key risk indicators and macroeconomic factors to operational losses. Regulatory issues, such as Basel II or any other local regulatory issue. Enterprise risk management. Cyber risk. Big data.
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