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Operational risk assessment of third-party payment platforms: a case study of China

Operational risk events have severely impacted the development of third-party payment (TPP) platforms, and have even led to a discussion on the operational risk capital charge settlement by relevant international regulators. However, prior studies have mostly focused on qualitative mechanism analysi...

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Autores principales: Yao, Yinhong, Li, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885145/
https://www.ncbi.nlm.nih.gov/pubmed/35251894
http://dx.doi.org/10.1186/s40854-022-00332-x
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author Yao, Yinhong
Li, Jianping
author_facet Yao, Yinhong
Li, Jianping
author_sort Yao, Yinhong
collection PubMed
description Operational risk events have severely impacted the development of third-party payment (TPP) platforms, and have even led to a discussion on the operational risk capital charge settlement by relevant international regulators. However, prior studies have mostly focused on qualitative mechanism analysis, and have rarely examined quantitative risk assessment based on actual operational risk events. Therefore, this study attempts to assess the operational risk on TPP platforms in China by constructing a systematic framework incorporating database construction and risk modeling. First, the operational risk database that covers 202 events between Q1, 2014, and Q2, 2020 is constructed. Then, specific causes are clarified, and the characteristics are analyzed from both the trend and loss severity perspectives. Finally, the piecewise-defined severity distribution based-Loss Distribution Approach (PSD-LDA) with double truncation is utilized to assess the operational risk. Two main conclusions are drawn from the empirical analysis. First, legal risk and external fraud risk are the two main causes of operational risk. Second, the yearly Value at Risk and Expected Shortfall are 724.46 million yuan and 1081.98 million yuan under the 99.9% significance level, respectively. Our results are beneficial for both TPP platform operators and regulators in managing and controlling operational risk.
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spelling pubmed-88851452022-03-01 Operational risk assessment of third-party payment platforms: a case study of China Yao, Yinhong Li, Jianping Financ Innov Research Operational risk events have severely impacted the development of third-party payment (TPP) platforms, and have even led to a discussion on the operational risk capital charge settlement by relevant international regulators. However, prior studies have mostly focused on qualitative mechanism analysis, and have rarely examined quantitative risk assessment based on actual operational risk events. Therefore, this study attempts to assess the operational risk on TPP platforms in China by constructing a systematic framework incorporating database construction and risk modeling. First, the operational risk database that covers 202 events between Q1, 2014, and Q2, 2020 is constructed. Then, specific causes are clarified, and the characteristics are analyzed from both the trend and loss severity perspectives. Finally, the piecewise-defined severity distribution based-Loss Distribution Approach (PSD-LDA) with double truncation is utilized to assess the operational risk. Two main conclusions are drawn from the empirical analysis. First, legal risk and external fraud risk are the two main causes of operational risk. Second, the yearly Value at Risk and Expected Shortfall are 724.46 million yuan and 1081.98 million yuan under the 99.9% significance level, respectively. Our results are beneficial for both TPP platform operators and regulators in managing and controlling operational risk. Springer Berlin Heidelberg 2022-03-01 2022 /pmc/articles/PMC8885145/ /pubmed/35251894 http://dx.doi.org/10.1186/s40854-022-00332-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Yao, Yinhong
Li, Jianping
Operational risk assessment of third-party payment platforms: a case study of China
title Operational risk assessment of third-party payment platforms: a case study of China
title_full Operational risk assessment of third-party payment platforms: a case study of China
title_fullStr Operational risk assessment of third-party payment platforms: a case study of China
title_full_unstemmed Operational risk assessment of third-party payment platforms: a case study of China
title_short Operational risk assessment of third-party payment platforms: a case study of China
title_sort operational risk assessment of third-party payment platforms: a case study of china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885145/
https://www.ncbi.nlm.nih.gov/pubmed/35251894
http://dx.doi.org/10.1186/s40854-022-00332-x
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