An empirical behavioural order-driven model with price limit rules
Gao-Feng Gu, Xiong Xiong, Hai-Chuan Xu, Wei Zhang and, Yong-Jie Zhang, Wei Chen, Wei-Xing Zhou

TL;DR
This paper introduces an empirical behavioural order-driven model incorporating price limit rules, capturing key market regularities and analyzing the effects of asymmetric price limits on stock price dynamics.
Contribution
The paper presents a novel empirical order-driven model with price limit rules based on real market data, enabling detailed analysis of market behaviors and policy impacts.
Findings
Asymmetric price limits can cause exponential divergence of stock prices.
The model reproduces main stylized facts of real markets.
Asymmetric price limits influence market dynamics and stylized facts.
Abstract
We develop an empirical behavioural order-driven (EBOD) model, which consists of an order placement process and an order cancellation process. Price limit rules are introduced in the definition of relative price. The order placement process is determined by several empirical regularities: the long memory in order directions, the long memory in relative prices, the asymmetric distribution of relative prices, and the nonlinear dependence of the average order size and its standard deviation on the relative price. Order cancellation follows a Poisson process with the arrival rate determined from real data and the cancelled order is determined according to the empirical distributions of relative price level and relative position at the same price level. All these ingredients of the model are derived based on the empirical microscopic regularities in the order flows of stocks on the Shenzhen…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Financial Markets and Investment Strategies
