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把握股票市场在风险条件下的整体状态变化特征是保障其平稳运行和健康发展的关键.本文运用复杂系统分析方法,研究股票市场风险应对问题.基于股票价格联动关系,建立股票网络,表征股票市场的微观结构关系.结合不同类型和级别风险的发生概率,构建股票网络恢复力度量模型,表征股票网络的宏观状态变化.以上海证券交易所股票市场为例,依据风险事件发生规律和股票价格变化机制,实例仿真剖析事前、事中和事后风险应对策略对股票网络恢复力的影响.结果显示,单个应对策略对不同类型风险的有效性各异.研究有助于把握股票市场运行规律,可为市场风险应对策略构建提供决策支撑.
It is the key to ensure the smooth operation and healthy development of the stock market under the risk condition.This article uses the complex system analysis method to study the stock market risk response.According to the linkage of the stock price, establishing the stock network and characterizing the stock market The macroeconomic state of the stock network is constructed based on the probability of occurrence of different types and levels of risk.The stock market of Shanghai Stock Exchange is taken as an example to study the change of stock price according to the occurrence of risk events and stock prices Mechanism and case simulation were used to analyze the influence of risk coping strategies on the stock network resilience in the past, the event and the post-event simulations.The results show that the effectiveness of individual coping strategies on different types of risks is different.The research helps to grasp the law of stock market operation, Market risk coping strategies to provide decision support.