2020
DOI: 10.1007/978-981-15-2568-1_142
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Risk Analysis of P2P Lending Platforms Based on Fuzzy AHP

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Cited by 2 publications
(2 citation statements)
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“…To achieve the possibility of comparing the results of calculations, the creditworthiness indicators should be expressed in the same values. It can be done by carrying out calculations based on the data of financial statements (Statement of Financial Position and Statement of Comprehensive Income; Li et al, 2020). The indicators selected for assessing the creditworthiness of financial institutions should provide a comprehensive description of the financial condition, covering all components and areas of their activities (Natocheeva & Belyanchikova, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…To achieve the possibility of comparing the results of calculations, the creditworthiness indicators should be expressed in the same values. It can be done by carrying out calculations based on the data of financial statements (Statement of Financial Position and Statement of Comprehensive Income; Li et al, 2020). The indicators selected for assessing the creditworthiness of financial institutions should provide a comprehensive description of the financial condition, covering all components and areas of their activities (Natocheeva & Belyanchikova, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, according to the NCA, P2P lenders are the second biggest target for fraudsters after payment service providers (Gaw, 2021). Some main reasons leading to money laundering risks on P2P platforms are the anonymity associated with online financial services and the lack of regulation of these relatively new types of financial services (Li et al , 2019). For example, criminals can avoid triggering AML safeguards by disguising their identity and applying for loans or sending money online for crowdfunding initiatives (Rajbhandari, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%