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双边拍卖市场定价策略分析

Setting An Effective Pricing Policy for Double Auction Marketplaces

中文摘要英文摘要

本文分析了双边拍卖市场机制如何为匹配的买卖双方智能体设置合适的交易价格。本论文考虑了具有私有且连续的交易者类型,另外考虑两种典型的定价策略:均衡定价和差异定价。首先分析采取哪种交易价格可以在交易者采取纳什均衡报价策略时,市场达到最优分配效率。本论文发现当采取差异定价策略时,参数$k=0.41$或者0.59时候,市场达到最优分配效率,另外当采取均衡定价策略时,参数$k=0.5$时达到最优市场分配效率。在此分析基础上,进一步讨论了不同的定价策略如何影响交易者的报价策略。另外,本论文分析了当两个不同的双边拍卖市场采取不同的定价策略时,哪种策略或获胜,通过实验发现均衡定价策略击败差异定价策略,所有交易者会吸引到采取均衡定价策略的市场。

In this paper, we analyse how double auction marketplaces set an effective pricing policy to determine the transaction prices for matched buyers and sellers. We analyse this problem by considering continuous privately know trader types. Furthermore, we consider two typical pricing policies: emph{equilibrium $k$ pricing policy} and emph{discriminatory $k$ pricing policy}. We firstly investigate how to determine the transaction prices to reach the maximal allocative efficiency in an isolated marketplace when the traders adopt Nash equilibrium bidding strategies. We find that when the marketplace adopts emph{discriminatory $k$ pricing policy}, the maximal allocative efficiency is reached by setting $k$=0.41 or 0.59. We find that emph{equilibrium $k$ pricing policy} provides higher allocative efficiency than emph{discriminatory $k$ pricing policy}. We further discuss how different pricing policies can affect traders' Nash equilibrium bidding strategies. Furthermore, we extend the analysis to the setting with two marketplaces competing against each other to attract traders. We find that the marketplace using emph{equilibrium $k$ pricing policy} is more likely to beat the marketplace using emph{discriminatory $k$ pricing policy}, where all traders converge to the marketplace using emph{equilibrium $k$ pricing policy} in Nash equilibrium. Our analysis can provide meaningful insights for designing an effective pricing policy.

黄亚龙、石兵

经济学贸易经济财政、金融

人工智能多智能体系统定价策略交易策略纳什均衡

rtificial Intelligence Multi-Agent Systems Pricing Policy Trading Strategy Nash Equilibrium

黄亚龙,石兵.双边拍卖市场定价策略分析[EB/OL].(2016-05-19)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201605-748.点此复制

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