支持过程集成的风险度量组合投资模型及其代数解

Sicheng Wang
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引用次数: 0

摘要

在充满风险和机遇的证券市场中,无论是个人投资者还是机构投资者,在进行证券投资时,始终以投资资金的安全性和流动性为前提,合理使用投资资金,以达到低风险、高回报的目的。Markowitz建立了以证券收益率方差作为投资风险度量的组合投资决策模型,并选择了最优组合。分析了基于支持过程集成的马科维茨模型的不足,提出了基于半方差(E-Sh)风险测度的最优投资组合风险目标函数。通过对方程的简化和分析,在一定条件下,将非线性期权定价模型转化为线性方程型,得到了考虑交易费用的具体时间相关期权定价公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Measurement Portfolio Investment Model Supporting Process Integration and its Algebraic Solution
In the securities market full of risks and opportunities, when investing in securities, both individual and institutional investors always take the safety and liquidity of investment funds as the premise, and rationally use investment funds to achieve the purpose of lower risks and higher returns. Markowitz established a portfolio investment decision model with the variance of securities return rate as the measure of investment risks, and selected the optimal portfolio. This paper analyzes the shortcomings of Markowitz model based on supporting process integration, and puts forward the risk objective function of optimal portfolio selection based on semivariance (E-Sh) risk measure. By simplifying and analyzing the equation, under certain conditions, the nonlinear option pricing model is transformed into a linear equation type, and the specific time-dependent option pricing formula with transaction costs is obtained.
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