Modeling Oil Futures Market Dynamic Using Complex Adaptive System Simulation

被引：0

作者：

Zhou, Qing ^{[1
]}

Liu, Yixian ^{[1
]}

机构：

[1] China Univ Petr, Sch Business Adm, Beijing 102249, Peoples R China

来源：

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON PUBLIC ECONOMICS AND MANAGEMENT (ICPEM 2009), VOL 5: STATISTICS AND METHODOLOGY | 2009年

关键词：

oil price; futures market; complex adaptive system; multi-Agent; Petri net;

D O I：

暂无

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

The factors that affect crude oil price are various and interrelated, composing a complex oil price system. With the development of the oil futures market, the oil price is driven by virtual demand. The problem becomes even more severe due to the virtual demand created by speculators. On the basis of complex adaptive system theory, we build a model of crude oil futures market by using a high level Petri Net, which can describe the agent's characteristics and its behavior details. While this model should be served as the foundation for further simulation programming in future work, based on this, we attempt to quantitatively study how virtual demand driving oil price volatility.

引用

页码：421 / 425

页数：5

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