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Scaling and memory in the non-poisson process of limit order cancelation

机译:限制序列取消的非泊松过程中的缩放和记忆

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摘要

The order submission and cancelation processes are two crucial aspects in theprice formation of stocks traded in order-driven markets. We investigate thedynamics of order cancelation by studying the statistical properties ofinter-cancelation durations defined as the waiting times between consecutiveorder cancelations of 22 liquid stocks traded on the Shenzhen Stock Exchange ofChina in year 2003. Three types of cancelations are considered includingcancelation of any limit orders, of buy limit orders and of sell limit orders.We find that the distributions of the inter-cancelation durations of individualstocks can be well modeled by Weibulls for each type of cancelation and thedistributions of rescaled durations of each type of cancelations exhibit ascaling behavior for different stocks. Complex intraday patterns are alsounveiled in the inter-cancelation durations. The detrended fluctuation analysis(DFA) and the multifractal DFA show that the inter-cancelation durationspossess long-term memory and multifractal nature, which are not influenced bythe intraday patterns. No clear crossover phenomenon is observed in thedetrended fluctuation functions with respect to the time scale. These findingsindicate that the cancelation of limit orders is a non-Poisson process, whichhas potential worth in the construction of order-driven market models.
机译:订单提交和取消过程是订单驱动市场中交易股票价格形成的两个关键方面。我们通过研究取消间隔时间的统计特性来研究订单取消的动力学,该间隔时间被定义为2003年在中国深圳证券交易所交易的22种流动性股票的连续订单取消之间的等待时间。考虑了三种取消类型,包括取消任何限价订单,我们发现,Weibuls可以很好地对每种取消类型的单个股票的相互抵消持续时间的分布进行建模,并且每种取消类型的重新定标的持续时间的分布表现出不同股票的缩放行为。 。在取消之间的持续时间中也揭示了复杂的盘中模式。去趋势波动分析(DFA)和多重分形DFA表明,相互抵消的持续时间具有长期记忆和多重分形的性质,不受日内模式的影响。在相对于时间尺度的趋势波动函数中未观察到清晰的交叉现象。这些发现表明,取消限价订单是非泊松过程,在构建订单驱动的市场模型方面具有潜在价值。

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