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An empirical behavioral order‑driven model with price limit rules
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作者 Gao‑Feng Gu Xiong Xiong +4 位作者 Hai‑Chuan Xu wei Zhang Yongjie Zhang wei Chen wei‑xing zhou 《Financial Innovation》 2021年第1期1733-1756,共24页
We propose an empirical behavioral order-driven(EBOD)model with price limit rules,which consists of an order placement process and an order cancellation process.All the ingredients of the model are determined based on... We propose an empirical behavioral order-driven(EBOD)model with price limit rules,which consists of an order placement process and an order cancellation process.All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded on the Shenzhen Stock Exchange.The model can reproduce the main stylized facts in real markets.Computational experiments unveil that asymmetric setting of price limits will cause the stock price to diverge exponentially when the up price limit is higher than the down price limit and to vanish vice versa.We also find that asymmetric price limits have little influence on the correlation structure of the return series and the volatility series,but cause remarkable changes in the average returns and the tail exponents of returns.Our EBOD model provides a suitable computational experiment platform for academics,market participants,and policy makers. 展开更多
关键词 ECONOPHYSICS Order-driven model Agent-based model Asymmetric price limit Stylized facts Limit order book
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