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Entropy Risk Measurement and Portfolio Model under Entropy Risk

机译:熵风险测量和熵风险的投资组合模型

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When making investment decisions, securities investors are most concerned about the benefits they can obtain and the risks they must bear. In order to solve the limitations of Markowitz’s classic securities portfolio model to measure investment risk based on the return and variance of securities, this paper analyzes the nature and characteristics of risk, based on the concept of thermodynamic entropy, and focuses on demonstrating entropy. After quantifying the rationality and superiority of securities investment risks, a securities investment portfolio model under entropy risk is constructed. This model carries out a brand-new optimization modeling of traditional securities portfolio models from the perspective of entropy and opens up new research perspectives. Afterwards, in view of the main defects of the model, the model was revised and optimized in the incomplete financial market in combination with the maximum entropy of information theory, and it was concluded that investors can reduce or resist risks by controlling the decentralized structure of the investment portfolio. Finally, based on our country's national conditions, some attention problems and solutions are given in the application of our country's securities industry.
机译:在进行投资决策时,证券投资者最关注他们可以获得的福利以及他们必须承担的风险。为了解决Markowitz经典证券组合模型的局限性根据证券的回报和方差来衡量投资风险,本文分析了风险的性质和特点,基于热力学熵的概念,专注于展示熵。在量化证券投资风险的合理性和优势之后,构建了熵风险下的证券投资组合模型。该模型从熵的角度执行了传统证券产品组合模型的全新优化建模,并开辟了新的研究视角。之后,鉴于该模型的主要缺陷,该模型在不完整的金融市场中与信息理论的最大熵相结合进行了修订并优化,并得出结论,投资者可以通过控制分散结构来减少或抵抗风险投资组合。最后,根据我国的国家条件,在我国的证券行业的应用中提供了一些关注问题和解决方案。

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