中国金融科技风险量化分析——基于AHP + 模糊综合评价模型  

Quantitative Risk Analysis of China’s Financial Industry—Based on AHP + Fuzzy Comprehensive Evaluation Model

作　　者：李哲彤 

机构地区：[1]湖南财政经济学院数学与统计学院,湖南 长沙

出　　处：《金融》2025年第1期199-216,共18页Finance

摘　　要：近年来,随着我国科学技术的发展,金融业也发生了显著的变化。在多元化金融领域,以金融科技为首的多元化金融体系逐渐占据主导地位。金融科技的出现对提升金融服务效率起到了非常重要的作用。然而,金融科技与金融科技风险密切相关。本文运用AHP + 模糊综合评价模型,寻求50位金融专家对金融业风险进行综合量化,探究当前我国金融业风险的主导因素,从而进行可预测的干预。研究发现,技术风险、道德风险和法律风险,权重为76%,模糊评价指标为“高”,是影响金融科技风险的主要因素,而传统金融风险占多数但仅占24%。虽然权重占比不大,但仍不容忽视。本文旨在对模糊的金融业风险进行量化,探讨金融科技风险和传统金融风险在当前金融业中的主导地位,得出面对中国金融业未来的发展,需要更加重视介入金融科技带来的风险,以优化资源配置,但传统金融风险也不容忽视。In recent years, with the development of science and technology in China, the financial industry has also undergone significant changes. In the diversified financial field, the diversified financial system headed by financial technology gradually occupies a dominant position. The cash of financial technology has played a very important role in improving the efficiency of financial services. However, fintech goes hand in hand with fintech risks. This paper uses AHP + fuzzy comprehensive evaluation model, seeks 50 financial experts to comprehensively quantify the risk of financial industry, and explores the leading factors of China’s financial industry risks at present, so as to make predictable intervention. It is found that technical risk, moral risk and legal risk, with a weight of 76% and a fuzzy evaluation index of “high”, are the main factors affecting financial technology risks, while traditional financial risks account for the majority but only account for 24%. Although the weight ratio is not la

关 键 词：层次分析法 模糊综合评价模型 金融风险 金融科技 

分 类 号：F83[经济管理—金融学]