期刊文献+

交易者异质性与期货市场动态关系的仿真研究 被引量:1

Futures Market Simulation with Heterogeneous Investors
下载PDF
导出
摘要 本文构建了一个基于异质性交易者的投机性期货市场仿真模型,从交易者微观行为的角度分析市场价格的动态特征。市场中有限理性的交易者具有异质性信念和不同的学习能力。个体预期不断调整,市场根据密封拍卖机制出清,期货价格随之变化。仿真结果表明,价格的波动与市场中大投机交易者的活动密切相关。仿真能够再现期货价格波动高峰厚尾。长记忆等特征。噪声交易者在市场中的生存,取决于外部信息流对市场的影响过程以及其他交易者的行为.本文是采用计算金融学仿真方法研究衍生产品市场的一种尝试,也为此领域的研究者在模型的实现上提供了另外一种容易实现的途径。 A simulation model of a speculative futures market is established to analyze the futures price dynamics from the angle of traders' micro - behavior. The boundedly rational traders in futures markets hold heterogeneous beliefs and learning capacity. With the Individual expectation adjusted continually, the sealed - bid auction clearance mechanism generates the market price, The simulations show that the price volatility in futures market and large speculators' trading activities are closely related. Fat tails of returns distribution and long - term memory process in futures price time series appeared in twice simulations. The noise traders' survivals in futures market depend on the process which generates the external information flow and other traders' behavior. The paper is an attempt to use computational finance method to study derivative market, and also provide another easier modal simulation realization method for researchers in this field.
作者 李锬 齐中英
出处 《数理统计与管理》 CSSCI 北大核心 2007年第6期1100-1110,共11页 Journal of Applied Statistics and Management
关键词 仿真 期货价格动态 异质性 随机信念学习 交易策略 simulation futures price dynamics heterogeneity Stochastic Belief Learning trading strategy
  • 相关文献

参考文献18

  • 1Arthur W B, Holland J, LeBaron B et al. Asset Pricing under Endogenous Expectations in An Artificial Stock Market[ A]. The Economy as an Evolving Complex System 2[ C]. Boston: Addison -Wesley, 1997.
  • 2Brock W, Hommes C. Heterogeneous Beliefs and Routes to Chaos in A Simple Asset Pricing Model[ J]. Journal of Economics and Control, 1998, 22 (8 -9) : 1235 - 1274.
  • 3Lux T. The Soeio - Economic Dynamics of Speculative Markets: Interacting Agents, Chaos and the Fat Tails of Return Distributions[J]. Journal of Economic Behavior and Organization, 1998, 33 (2) : 143 - 165.
  • 4Lux T. Marchesi M. Scaling and Criticality in A Stochastic Multi -Agent Model of A Financial Market[J]. Nature, 1999, 397(11) : 498 -500.
  • 5LeBaron B. Short - Memory Traders and Their Impact on Group Learning in Financial Markets[ A]. Proceedings of the National Academy of Science[ C ]. USA 2002, 99 (Supplement 3) : 7201 -7206.
  • 6LeBaron B. Evolution and Time Horizons in An Agent Based Stock Market[ J ]. Macroeconomic Dynamics, 2001,5(2) : 225 -254.
  • 7Chiarella C. Gallegati M. et al. Asset Price Dynamics among Heterogeneous Interacting Agents[ J], Computational Economics, 2003, 22 (2 - 3) : 213 - 223.
  • 8Arifovic J. Performance of Rational and Boundedly Rational Agents in A Model with Persistent Exchange Rate Volatility [ J ]. nacroeconomic Dynamics, 2001, 5 (2): 204 - 224.
  • 9Brenner T. Agent Learning Representation - Advice in Modelling Economic Learning [ M ]. Handbook of Computational Economics: Vol. 2 Agent based computational Economics. Elsevier Science. 2006. 895 - 947.
  • 10Oberlechner T. Importance of Technical and Fundamental Analysis in the European Foreign Exchange Market [J]. International Journal of Finance and Economics, 2001,6(1):81 -93.

二级参考文献15

  • 1[美]埃德加·E·彼得斯.资本市场的混沌与秩序(第二版)[M].经济科学出版社,1999..
  • 2Catherine Kyrtsou,Walter C Labys,Michel Terraza.Noisy chaotic dynamics in commodity markets[J].Empirical Economics, 2004,(29):489-502.
  • 3Mandelbrot B B.The variation of certain speculative prices[J].Journal of Business, 1963,(36):394-419.
  • 4Mandelbrot B B,Taylor H.On the distribution of stock price differences[J].Operations Research, 1967,(15):1057-1062.
  • 5Mandelbrot B B,Wallis J R.Robustness of the rescaled range R/S in the measurement of non-cyclic Long Run statistical dependence[J].Water Resources Research, 1969,(5):64-79.
  • 6Akgiray V,Booth G.The stable law model of stock returns[J].Journal of Business & Economic Statistics, 1988,(6):51-57.
  • 7Ding Z,Granger C W J,Engle R F.A long memory property of stock market returns and a new model[J].Journal of Empirical Finance, 1993,(30):83-106.
  • 8Hasbrouck J.Measuring the information content of stock trades[J].Journal of Finance, 1991,(46):179-207.
  • 9Evans M D,Lyons R K.Order flow and exchange rate dynamics[J].Journal of Political Economy, 2002,(110):170-180.
  • 10Baillie R T.Long-memory processes and fractional integration in econometrics[J].Journal of Econometrics, 1996,(73):5-59.

共引文献19

同被引文献4

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部