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Should the Advanced Measurement Approach for Operational Risk be Discarded? Evidence from the Chinese Banking Industry

Author

Listed:
  • Xiaoqian Zhu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, P. R. China)

  • Jianping Li

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, P. R. China2University of Chinese Academy of Sciences, Beijing 100049, P. R. China)

  • Dengsheng Wu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, P. R. China)

Abstract
The Basel Committee on Banking Supervision (BCBS) states that in addition to the fact that it lacks simplicity, the Advanced Measurement Approach (AMA) must be discarded because the flexibility of AMAs does not narrow as envisioned prior. This paper discusses whether this judgment of the BCBS holds for the Chinese banking industry. We first review the development of operational risk data collection and AMAs in China over the past decade. Then, capital requirement results for Chinese banks based on these datasets and approaches are summarized and analyzed. It is shown that along with the accumulation of operational risk data and the refinement of AMAs, operational risk results for the Chinese banking industry have shown a clear trend of convergence that is exactly opposed to judgments of the BCBS. Therefore, the removal of the AMA from regulatory frameworks may not be reasonable.

Suggested Citation

  • Xiaoqian Zhu & Jianping Li & Dengsheng Wu, 2019. "Should the Advanced Measurement Approach for Operational Risk be Discarded? Evidence from the Chinese Banking Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-15, March.
  • Handle: RePEc:wsi:rpbfmp:v:22:y:2019:i:01:n:s0219091519500073
    DOI: 10.1142/S0219091519500073
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    References listed on IDEAS

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    1. Gareth W. Peters & Pavel V. Shevchenko & Bertrand Hassani & Ariane Chapelle, 2016. "Should the advanced measurement approach be replaced with the standardized measurement approach for operational risk?," Papers 1607.02319, arXiv.org, revised Sep 2016.
    2. Gareth W. Peters & Pavel V. Shevchenko & Bertrand K. Hassani & Ariane Chapelle, 2016. "Should the advanced measurement approach be replaced with the standardized measurement approach for operational risk?," Documents de travail du Centre d'Economie de la Sorbonne 16065, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Chapelle, Ariane & Crama, Yves & Hübner, Georges & Peters, Jean-Philippe, 2008. "Practical methods for measuring and managing operational risk in the financial sector: A clinical study," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1049-1061, June.
    4. Jianping Li & Xiaoqian Zhu & Cheng-Few Lee & Dengsheng Wu & Jichuang Feng & Yong Shi, 2015. "On the aggregation of credit, market and operational risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 161-189, January.
    5. Gareth W. Peters & Pavel V. Shevchenko & Bertrand K. Hassani & Ariane Chapelle, 2016. "Should the advanced measurement approach be replaced with the standardized measurement approach for operational risk?," Post-Print halshs-01391091, HAL.
    6. Wang, Zongrun & Wang, Wuchao & Chen, Xiaohong & Jin, Yanbo & Zhou, Yanju, 2012. "Using BS-PSD-LDA approach to measure operational risk of Chinese commercial banks," Economic Modelling, Elsevier, vol. 29(6), pages 2095-2103.
    7. Zhou, Xiaoping & Durfee, Antonina V. & Fabozzi, Frank J., 2016. "On stability of operational risk estimates by LDA: From causes to approaches," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 266-278.
    8. Han, Jinmian & Wang, Wei & Wang, Jiaqi, 2015. "POT model for operational risk: Experience with the analysis of the data collected from Chinese commercial banks," China Economic Review, Elsevier, vol. 36(C), pages 325-340.
    9. Suren Pakhchanyan, 2016. "Operational Risk Management in Financial Institutions: A Literature Review," IJFS, MDPI, vol. 4(4), pages 1-21, October.
    10. Lu, Zhaoyang, 2011. "Modeling the yearly Value-at-Risk for operational risk in Chinese commercial banks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 604-616.
    11. Frachot, Antoine & Roncalli, Thierry & Salomon, Eric, 2004. "The Correlation Problem in Operational Risk," MPRA Paper 38052, University Library of Munich, Germany.
    12. Gareth W. Peters & Pavel V. Shevchenko & Bertrand K. Hassani & Ariane Chapelle, 2016. "Should the advanced measurement approach be replaced with the standardized measurement approach for operational risk?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01391091, HAL.
    13. Yi-Kai Chen & Chung-Hua Shen & Lanfeng Kao & Chuan-Yi Yeh, 2018. "Bank Liquidity Risk and Performance," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-40, March.
    14. Jianping Li & Jichuang Feng & Jianming Chen, 2009. "A Piecewise-Defined Severity Distribution-Based Loss Distribution Approach To Estimate Operational Risk: Evidence From Chinese National Commercial Banks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 727-747.
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