摘要
本文详细归纳了民间票据中介的五种主要运作模式及其票据流和资金流情况,分析了四个层面的信息不对称给票据中介造成跨地区、跨产品、跨信用主体、跨机构套利的机会,通过考量票据业务的各类参与方的利益诉求,多维度分析了民间票据中介产生和存在的原因,探讨了商业银行使用现有数据表示银行承兑汇票票据中介的特征的可行性,提出运用大数据分析和数据挖掘技术精准锁定民间票据中介的建议。
This paper summarizes in detail the five main operation modes of private bill intermediaries and their bill flow and capital flow,analyzes the opportunities of cross region,cross product,cross credit subject and cross institution arbitrage caused by information asymmetry at four levels,and analyzes the reasons for the emergence and existence of private bill intermediaries from multiple dimensions by considering the interest demands of various participants in the bill business,,This paper discusses the feasibility of commercial banks using existing data to express the characteristics of bank acceptance bill intermediaries,and puts forward suggestions on using big data analysis and data mining technology to accurately target private bill intermediaries.
作者
殷然
刘颖超
YIN Ran;LIU Yingchao(The Center for Economic Research,Shandong University,250100;Qingdao University of Science and Technology,266061)
出处
《制度经济学研究》
2022年第4期119-139,共21页
Research on Institutional Economics
关键词
票据市场
民间票据中介
信息不对称
套利机会
大数据分析
Bill Market
Private Bill Intermediary
Information Asymmetry
Arbitrage Opportunity
Big Data Analysis