股市交易网络模型构建及其稳定性研究

    Study on Trading Network Model and Its Stability in Stock Market

    • 摘要: 遵循限价指令簿基本规则, 构建了股市交易网络理论模型, 对网络度分布、簇系数、平均路径长度和度度相关性等统计参数进行了仿真分析;并模拟计算了交易规模与网络节点度的内在关联机制以及网络稳定性。研究结果表明:股市交易网络具有无标度、小世界特征和异配性特征;网络簇系数大小相对稳定, 基本不受网络规模影响;平均路径长度在网络规模呈对数增长情形下线性增大;买卖双方的交易规模分别与网络节点度呈正相关。同时, 股市交易网络在随机攻击策略下的稳定性较高, 蓄意攻击策略下的稳定性较低。

       

      Abstract: A trading network model is introduced based on the basic rules of limit order book. Through the simulation analysis of the network model, not only the statistical characteristics of degree distribution, clustering coefficient, average path length, degree correlation and so on are described, but also the stability of the network and the relationship between the degree of the network and the trading volume are studied. The feature of small world and scale free is obviously shown. Particularly, the results show the relatively stable clustering coefficient which is not dependent on the network scale, growing average path length with linear slope as the network size increasing logarithmically and the positive correlation between the degree of the network and the trading arrival rate. Meanwhile, the investment network has a high stability for random attacks, while it’s lower under the selective attack.

       

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