Research on the trend of Chinese stock market based on Monte Carlo simulation method

Zhu Qingquan
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Abstract

: The quantitative trading strategy of stock market in developed countries has been very mature, but the quantitative trading strategy of China's stock market has only begun to develop in recent years. In this paper, the closing levels of CSI 300 Index from 2002 to 2022 were selected as the research objects. Monte Carlo simulation method was used to simulate the closing levels of the next 30 trading days, and the simulation results of the last trading day were counted and analyzed. It is found that most of the results of Monte Carlo simulation are in the reasonable range, and the occasional extreme case has similar cases in history. Therefore, the use of Monte Carlo simulation can roughly simulate the future period of income and risk situation, to provide a certain degree of help for investors to make decisions.
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基于蒙特卡罗模拟法的中国股票市场走势研究
:发达国家股票市场的量化交易策略已经非常成熟,而中国股票市场的量化交易策略是近几年才开始发展的。本文选取2002 - 2022年沪深300指数的收盘水平作为研究对象。采用蒙特卡罗模拟方法对未来30个交易日的收盘水平进行模拟,并对最后一个交易日的模拟结果进行统计和分析。研究发现,蒙特卡罗模拟的结果大多在合理范围内,偶尔出现的极端情况在历史上也有类似的情况。因此,利用蒙特卡罗模拟法可以大致模拟出未来一段时期的收益和风险情况,为投资者的决策提供一定程度的帮助。
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