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中国管理科学 ›› 2021, Vol. 29 ›› Issue (8): 195-205.doi: 10.16381/j.cnki.issn1003-207x.2018.1672

• 论文 • 上一篇    下一篇

基于信号博弈的卖方欺诈行为分析

冉茂盛1, 张世广1, 陈雪娥2   

  1. 1. 重庆大学经济与工商管理学院, 重庆 400030;
    2. 香港科技大学物理学院, 香港 999077
  • 收稿日期:2018-11-22 修回日期:2019-08-20 出版日期:2021-08-20 发布日期:2021-08-13
  • 通讯作者: 张世广(1990-),男(汉族),河北隆尧人,重庆大学经济与工商管理学院,博士,研究方向:博弈论,E-mail:15215176044@139.com. E-mail:15215176044@139.com

Analysis of Vendor Fraud Based on Signal Game

RAN Mao-sheng1, ZHANG Shi-guang1, CHEN Xue-e2   

  1. 1. School of Economics and Business administration, Chongqing University, Chongqing 400030, China;
    2. School of Physics, Hong Kong University of science and technology, Hong Kong 999077, China
  • Received:2018-11-22 Revised:2019-08-20 Online:2021-08-20 Published:2021-08-13

摘要: 本文主要基于信号博弈的卖方欺诈行为进行研究,假设拍卖中可能存在欺诈型和诚实型两种卖家,其中欺诈行为有概率发生在第二价格拍卖中:欺诈型卖方冒充竞拍者递交仅次于最高价的报价从而获得额外收益。两种卖家根据各自效用选择拍卖形式:第一价格或者第二价格。而竞买者将卖者的选择作为信号,更新对卖方类型的判断,然后制定报价策略。这是一个买卖方信号交叉影响的过程。考虑到拍卖过程中买方价值相关性,本文在建立模型中参考了关联价值原理。针对该模型进行分析,得出了不同情况下的买卖方策略,并且研究了买方报价、买方判断、卖方收益三者之间的关系。文中利用贝叶斯公式对双方的策略选择问题进行预测,与单纯的概率分布方法相比,更具实践价值。

关键词: 卖方欺诈, 第一价格拍卖, 第二价格拍卖, 关联价值, 贝叶斯理论

Abstract: As an effective resource allocation and price determination mechanism, auction can fully introduce market competition and is widely used in all aspects of social and economic activities. On the basis of the increasingly mature traditional auction, people began to gradually relax the auction hypothesis, thus obtaining results of practical significance. For example, in the classic auction theory summarized by Milgrom, it is assumed that there is no fraud. However, in reality, the general auction participants often lack accurate valuation information, and at the same time, the phenomena of opaque auction procedures and staggered rights relationship are common, which leads to the emergence of auction fraud. In the auction process with low transparency, sellers often choose to implement fraud to increase the selling price due to the temptation of interests, thus obtaining improper profits. The choice of the seller and the strategies of the bidders have become urgent research topics. The changes brought by the seller's fraud to the auction are studied in this paper. As one of the most effective trading mechanisms, it is obvious that there are signal transmission and game process in auction. In this paper, on the basis of previous models of fraud according to probability, a mechanism (realized by Bayesian theorem) for bidders to update their judgment according to the obtained information (seller selection) is added, thus a seller fraud model based on signal game is established. The model assumes two kinds of sellers, one is a fraudulent seller who will enjoy the first bid price in the second price auction using the "hold" bid method. One is an honest seller who will not use fraudulent means. At the beginning of the auction, the seller will choose whether the auction will be conducted at the first price or at the second price (during the auction at the first price, fraudulent sellers cannot commit fraudulent acts). The buyer first refers to the seller's choice and updates his judgment on the seller's type according to Bayesian theorem so as to formulate the quotation strategy. Further study the possible equilibrium solutions of the two strategies. Intuitively, fraudulent sellers will choose the second price auction while honest sellers will choose the first price auction. However, analysis shows that in some cases, fraudulent sellers will choose the first price auction and honest sellers will also choose the second price auction. This paper obtains an equilibrium solution under three circumstances. In some cases, fraudulent sellers will also choose the first price auction, while honest sellers will also choose the second price auction. At the same time, the higher the probability that the seller type is fraudulent, the lower the enthusiasm of the buyer. The higher the buyer's valuation of the goods, the more sensitive his quotation strategy is to the judgment of the seller's type. It has wider practical significance in analyzing and preventing fraudulent auctions.

Key words: seller fraud, first price auction, second price auction, correlation value, bayes theory

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