Internet financial risk assessment in China based on a particle swarm optimization-analytic hierarchy process and fuzzy comprehensive evaluation

Li, Zeng and Lau, Wee-Yeap and Bahri, Elya Nabila Abdul (2023) Internet financial risk assessment in China based on a particle swarm optimization-analytic hierarchy process and fuzzy comprehensive evaluation. Journal of Risk Model Validation, 17 (1). pp. 17-39. ISSN 17539579, DOI https://doi.org/10.21314/JRMV.2022.028.

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Abstract

The combination of finance with the internet has expanded the boundaries and markets of financial services. Due to the problems of virtualization and information technology dependence, the risk management of internet finance is more complicated than that of traditional finance. Based on the identification of China's internet financial risk, this study establishes a comprehensive evaluation system to index internet financial risk. Use of a particle swarm optimization-analytic hierarchy process (PSO-AHP) and a comprehensive fuzzy evaluation of an expert questionnaire shows that these evaluation methods are highly applicable to internet financial risk assessment. In addition, the study's findings show credit and technical risk are very important, and that internet finance risk is high in China. Therefore, it recommends the supervision of internet financial risk in China should be strengthened, and more attention should be paid to the internet finance credit regulation and technical risk processes.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: internet finance; risk assessment; analytical hierarchy process; fuzzy comprehensive evaluation method; credit risk
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HB Economic Theory
H Social Sciences > HC Economic History and Conditions
Divisions: Faculty of Business and Economics
Depositing User: Ms Zaharah Ramly
Date Deposited: 08 Aug 2024 01:13
Last Modified: 08 Aug 2024 01:13
URI: http://eprints.um.edu.my/id/eprint/38523

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