Asset Portfolio Risk Management Study-Empirical Analysis Based on VaR Model

Y. Zhong
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Abstract

This research paper is based on an empirical analysis of portfolio risk management using the value-at-risk (VaR) model. First, the theoretical foundations of portfolio management are introduced, including portfolio theory, asset pricing models, risk management theory and methods, and VaR models. Then the research methodology is described, including data sources and processing, VaR model construction, and risk metric calculation and interpretation. The empirical results section shows the risk analysis and source identification of asset portfolios, the estimation of VaR model parameters and confidence intervals, and the results of VaR calculations and risk measures at different confidence levels. Finally, the results are discussed and analyzed, including the interpretation and comparison of the risk measure results and the advantages and disadvantages of the VaR model. The paper also provides practical risk management recommendations and decision support for investors based on the results of the study. Limitations of the study and future research directions are also discussed. Overall, insights into portfolio risk management using VaR models are provided and a useful reference for researchers and investors interested in this area.
资产组合风险管理研究——基于VaR模型的实证分析
本文采用风险价值(VaR)模型对投资组合风险管理进行实证分析。首先,介绍了投资组合管理的理论基础,包括投资组合理论、资产定价模型、风险管理理论与方法、VaR模型。然后介绍了研究方法,包括数据来源与处理、VaR模型构建、风险度量的计算与解释。实证结果部分展示了资产组合的风险分析和来源识别,VaR模型参数和置信区间的估计,以及不同置信水平下VaR计算和风险度量的结果。最后对结果进行了讨论和分析,包括对风险度量结果的解释和比较以及VaR模型的优缺点。本文还根据研究结果为投资者提供了切实可行的风险管理建议和决策支持。并对研究的局限性和未来的研究方向进行了讨论。总体而言,本文提供了使用VaR模型进行投资组合风险管理的见解,并为对此领域感兴趣的研究人员和投资者提供了有用的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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