北京邮电大学学报(社会科学版) ›› 2021, Vol. 23 ›› Issue (6): 31-44.doi: 10.19722/j.cnki.1008-7729.2021.0054

• 电子商务 • 上一篇    下一篇

基于用户风险偏好的债券产品推荐研究傅魁

傅魁(1977—),男,湖北襄阳人,博士,副教授   

  1. 武汉理工大学 经济学院,湖北 武汉430000
  • 收稿日期:2021-04-05 出版日期:2021-12-31 发布日期:2022-01-07
  • 作者简介:傅魁(1977—),男,湖北襄阳人,博士,副教授
  • 基金资助:
    教育部人文社会科学研究规划基金项目(17YJA870006)

Bond Recommendation Based on User Risk Preference

  1. School of Economics, Wuhan University of Technology, Wuhan 430000, China
  • Received:2021-04-05 Online:2021-12-31 Published:2022-01-07

摘要: 提出并设计基于用户风险偏好的债券推荐系统,使用基于内容的推荐算法,通过层次分析及模糊综合评价方法获取用户风险偏好评分,利用修正KMV模型对债券的违约风险进行评估。根据风险匹配原则构建“同类益高”推荐策略模型,最终实现仿真案例分析,并验证债券推荐系统的可用性及有效性。

关键词:  , 债券推荐;模糊综合评价方法;风险偏好;KMV模型

Abstract:  A bond recommendation system based on users risk preference is proposed and designed, and content-based recommendation algorithm is used to obtain users risk preference score through AHP (analytic hierarchy process) and fuzzy comprehensive evaluation method, to evaluate the default risk of bonds by using modified KMV model, to construct the recommendation strategy model of “the same kind is better” according to the risk matching principle, and finally to realize the simulation case analysis and verify the availability and effectiveness of the bond recommendation system.

Key words:  bond recommendation, fuzzy comprehensive evaluation method, risk preference, KMV model

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