基于时变风险规避系数的资产价格内生演化机制模型

IF 1.4 Q2 MATHEMATICS, APPLIED
Zhi Yang, Jing Wang
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引用次数: 0

摘要

在传统的异质代理模型中,投资者被假定为风险厌恶者,并利用财富预期效用函数最大化原理形成最优资产数量需求。在这类模型中,投资者的风险厌恶系数通常被假定为常数。本文认为投资者的风险厌恶系数是时变的,且随财富的变化而变化,并建立了一个由基本面分析师、技术分析师和做市商组成的内生演化机制模型。与固定风险厌恶系数模型相比,本文分析了投资者行为、投资者行为之间的相互作用以及不同类型投资者对市场稳定性的影响。同时,我们检验了资产价格和资产行为,得出了投资者行为会影响系统模型稳定性的结论。对相应随机模型的数值模拟表明,该模型可以模拟金融时间序列的基本特征,如资产收益序列的偏峰和厚尾、波动的长记忆等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An endogenous evolution mechanism model of asset prices based on time-varying risk aversion coefficient

In the traditional heterogeneous agent model, investors are assumed to be risk averse, and the wealth expected utility function maximization principle is used to form the optimal asset quantity demand. In such models, the risk aversion coefficient of investors is often assumed to be constant. This paper considers that the risk aversion coefficient of investors is time-varying and changes with the change of wealth, and establishes an endogenous evolutionary mechanism model formed by fundamental analysts, technical analysts, and market makers. Compared with the fixed risk aversion coefficient model, this paper analyzes the investor’s behavior, the interaction between investor behaviors, and the influence of different types of investors on the stability of the market. At the same time, we test asset price and asset behavior and conclude that investor behavior affects the stability of the system model. The numerical simulation of the corresponding stochastic model shows that the model can simulate the basic characteristics of financial time series, such as the partial peak and thick tail of asset return series, and the long memory of fluctuations.

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来源期刊
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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