Mean Field Equilibrium Asset Pricing Model with Habit Formation

IF 2.3 Q2 ECONOMICS
Masaaki Fujii, Masashi Sekine
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引用次数: 0

Abstract

This paper presents an asset pricing model in an incomplete market involving a large number of heterogeneous agents, based on the mean field game theory. The primary objective of this study is to derive the equilibrium risk premium process endogenously by considering the optimal consumption-investment problem and the market clearing condition. In the model, we incorporate habit formation in consumption preferences, which has been widely used to explain various phenomena in financial economics. In order to characterize the market-clearing equilibrium, we derive a quadratic-growth mean field backward stochastic differential equation and study its well-posedness and asymptotic behavior in the large population limit. Additionally, we introduce an exponential quadratic Gaussian reformulation of the asset pricing model, in which the solution is obtained in a semi-analytic form.

考虑习惯形成的平均场均衡资产定价模型
本文基于平均场博弈论,建立了包含大量异质主体的不完全市场下的资产定价模型。本文的主要目标是考虑最优消费-投资问题和市场出清条件,内生地推导均衡风险溢价过程。在模型中,我们将习惯形成纳入到消费偏好中,消费偏好已被广泛用于解释金融经济学中的各种现象。为了描述市场出清均衡,我们导出了一个二次增长平均场倒向随机微分方程,并研究了它在大人口极限下的适定性和渐近性。此外,我们引入了资产定价模型的指数二次高斯重构,其解以半解析形式得到。
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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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
34
期刊介绍: The current remarkable growth in the Asia-Pacific financial markets is certain to continue. These markets are expected to play a further important role in the world capital markets for investment and risk management. In accordance with this development, Asia-Pacific Financial Markets (formerly Financial Engineering and the Japanese Markets), the official journal of the Japanese Association of Financial Econometrics and Engineering (JAFEE), is expected to provide an international forum for researchers and practitioners in academia, industry, and government, who engage in empirical and/or theoretical research into the financial markets. We invite submission of quality papers on all aspects of finance and financial engineering. Here we interpret the term ''financial engineering'' broadly enough to cover such topics as financial time series, portfolio analysis, global asset allocation, trading strategy for investment, optimization methods, macro monetary economic analysis and pricing models for various financial assets including derivatives We stress that purely theoretical papers, as well as empirical studies that use Asia-Pacific market data, are welcome. Officially cited as: Asia-Pac Financ Markets
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