南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (2): 368–376.

• • 上一篇    下一篇

连续双向拍卖市场中的一种自适应竞价策略研究

栾海军1,董红斌1*, 周 阳2   

  • 出版日期:2015-03-30 发布日期:2015-03-30
  • 作者简介:(1. 哈尔滨工程大学计算机科学与技术学院,哈尔滨,150001; 2. 哈尔滨工程大学人文社会科学学院,哈尔滨,150001)
  • 基金资助:
    国家自然科学基金( 6 1 4 7 2 0 9 5 , 6 1 2 7 2 1 8 6 )

A self-adaptive bidding strategy in continuous double auction market

Luan Haijun1, Dong Hongbin1*, Zhou Yang2   

  • Online:2015-03-30 Published:2015-03-30
  • About author:(1. College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China;
    2. College of Humanities and Social Sciences, Harbin Engineering University, Harbin, 150001, China)

摘要: 近年来随着电子商务的发展,连续双向拍卖(CDA)已经广泛应用到社会的各个交易领域,如纳斯达克,纽约证券交易所,深交所等国内外股票交易市场。针对传统双向拍卖市场的竞价策略缺乏智能性的特点,提出了一种自适应竞价策略(Self-Adaptive Bidding Strategy,SA竞价策略)使交易者无论以买方角度还是卖方角度均能获得较高的收益。该策略将整个交易过程分成三个阶段,交易者根据所在不同阶段分别采用不同竞价策略。在第一阶段和第三阶段分别采用观望策略和薄利多销策略,第二阶段是交易者获得收益的主要阶段,所以本阶段的交易agent具有短期和长期两种学习规则,通过对两种学习结果的整合为其提供占优的竞价。采用SA策略的agent能够根据市场情况的变化动态地调整报价。最后仿真结果表明提出的SA策略是一种能够获得较高收益的竞价策略并且在交易成功率方面也明显优于其他策略。

Abstract: In recent years, along with the development of electronic commerce, continuous double auction (CDA) has been widely applied to many trading areas of society, such as the NASDAQ, the New York Stock Exchange and other stock exchanges. The characterizes of bidding strategy for the traditional double auction market is lack of intelligence,for this reason we present the design and analysis of a new self-adaptive bidding strategy (self-adaptive bidding strategy, SA bidding strategy) allows the trader to obtain a higher profit no matter which side it is.Not only heuristic rules but also a reasoning mechanism ,short-term and long-term,are employed by this strategy. Agents adopting the strategy dynamically adjust their behaviors in response to the changes of the market. In the experiments,we studied the performance of the SA bidding strategies and compared it with other classic bidding strategies included ZI-C, ZI-U,AA,GNP-AP. Experimental results show that agents adopting the strategy superior to the other strategies in terms of trading success rate and profit.


[1].詹文杰, 杨 洁. 连续双向拍卖市场中基于马尔可夫链的交易策略研究. 中国管理科学, 2008, 16(1): 111~116.
[2].詹文杰. 双向拍卖的交易机制和交易策略. 武汉:华中科技大学出版社, 2008, 16.
[3].Gode D K, Sunder S. Allocative efficiency of markets with zero-intelligence traders: Market as a partial substitute for individual rationality. Journal of Political Economy, 1993, 101(1): 119.
[4].Chatterjee K, Samuelson W. Bargaining under incomplete information. Operations Research, 1983, 31(5): 835~851.
[5].Myerson R B, Satterthwaite M A. Efficient mechanisms for bilateral trading. Journal of Economic Theory, 1983, 29(2): 265~281.
[6].Friedman D. A simple testable model of double auction markets. Journal of Economic Behavior & Organization, 1991, 15(1): 47~70.
[7].McAfee R P. A dominant strategy double auction. Journal of Economic Theory, 1992, 56(2): 434~450.
[8].Satterthwaite M A, Williams S R. The Bayesian theory of the k-double auction. In: Daniel F, John R. The Double Auction Market: Institutions, Theories, and Evidence. United States:Addison-Wesley, 1993, 99~123.
[9].LeBaron B. Agent-based computational finance: Suggested readings and early research. Journal of Economic Dynamics and Control, 2000, 24(5): 679~702.
[10].hi B, Gerding E H, Vytelingum P, et al. An equilibrium analysis of market selection strategies and fee strategies in competing double auction marketplaces. Autonomous Agents and Multi-agent Systems, 2013, 26(2): 245~287.
[11].De Luca M, Cliff D. Human-agent auction interactions: Adaptive-aggressive agents dominate. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence-Volume One. United States:International Joint Conferences on Artificial Intelligence , 2011: 178~185.
[12].王 浩. 基于 Agent 的多股票连续双向拍卖市场仿真实验研究. 硕士学位论文. 武汉:华中科技大学, 2012.
[13].Tesauro G, Das R. High-performance bidding agents for the continuous double auction. In: Proceedings of the 3rd ACM Conference on Electronic Commerce. United States:Association?for?Computing Machinery, 2001: 206~209.
[14].Zhan W, Zhang J, Yang J, et al. k-ZI: A general zero-intelligence model in continuous double auction. International Journal of Information Technology & Decision Making, 2002, 1(04): 673~691.
[15].赵 旭, 蔚承建. 连续双向拍卖中演化 Risk—Based 策略研究. 计算机工程与应用, 2010 (3): 236~240.
[16].Vytelingum P, Cliff D, Jennings N R. Strategic bidding in continuous double auctions. Artificial Intelligence, 2008, 172(14): 1700~1729.
[17].Yue C, Mabu S, Hirasawa K. A bidding strategy using genetic network programming with adjusting parameters for large-scale continuous double auction. In: 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), New York: IEEE Press, 2012: 1896~1902.
[18].Yue C, Mabu S, Hirasawa K. A bidding strategy for continuous double auctions based on genetic network programming with generalized judgments. In: 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC), New York: IEEE Press, 2011: 144~151.
[19].Yue C, Mabu S, Hirasawa K. Enhancing bidding strategy using genetic network programming in agent-based multiple round English auction. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2011, 15(7): 747~758.
[ 2 0 ]俞 春, 马 骞, 马晓星等 . 一种面向体系结构的软件系 统 自 适 应 机 制 . 南 京 大 学 学 报 ( 自 然 科 学) , 2 0 0 6 , 4 2 ( 2 ) : 1 2 0~1 3 0.
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!