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Analysis of the Dependence of Stock Risk Based on Copula Theory

机译:基于Copula理论的股票风险依存度分析

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The rapid development of the economy emphasizes the importance of financial risk. Financial risk analysis can help people understand finance more deeply and reduce the loss of profits. This paper is about the dependence on stocks, which is very important for analyzing the dependence structure of stock market and the portfolio risk of investment market. The experimental data are the daily closing price data of shares of Midea Group and Gree Electric. Copula theory is used to fit the daily return data of Gree Electric and Midea Group. By establishing the correlation structure model of the stock market, the daily return data of Gree Electric and Midea Group are better simulated.
机译:经济的快速发展强调了金融风险的重要性。金融风险分析可以帮助人们更深入地了解金融并减少利润损失。本文对股票的依赖关系,对于分析股票市场的依赖结构和投资市场的投资组合风险具有重要意义。实验数据为美的集团和格力电器的每日收盘价数据。 Copula理论用于拟合格力电气和美的集团的日收益数据。通过建立股票市场的相关结构模型,可以更好地模拟格力电器和美的集团的日收益数据。

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