On the limits of informationally efficient stock markets: New insights from a chartist-fundamentalist model

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Laura Gardini , Davide Radi , Noemi Schmitt , Iryna Sushko , Frank Westerhoff
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Abstract

We utilize a chartist-fundamentalist model to examine the limits of informationally efficient stock markets. In this model, chartists are permanently active in the stock market, while fundamentalists trade only when their mispricing-dependent trading signals are sufficiently strong. As a result, the model dynamics are driven by a two-dimensional piecewise-linear discontinuous map. Our findings suggest the possible coexistence of two distinct regimes. Depending on the initial conditions, the stock market may exhibit either constant or oscillatory mispricing. Constant mispricing occurs when chartists remain the sole active speculators, causing the stock price to converge toward a nonfundamental value. Conversely, the stock price oscillates around its fundamental value when fundamentalists repeatedly enter and exit the market. Interestingly, these oscillatory dynamics are associated with a new type of attractor, termed a “weird quasiperiodic attractor”. When subjected to dynamic noise, our model reproduces several important stylized facts of stock markets and can thus be considered validated.
论信息有效的股票市场的局限性:来自宪章派-原教旨主义模型的新见解
我们利用图表-原教旨主义模型来检验信息有效股票市场的局限性。在这个模型中,图表分析师在股市中永远活跃,而基本面分析师只有在依赖于错误定价的交易信号足够强时才进行交易。因此,模型动力学是由一个二维分段线性不连续映射驱动的。我们的研究结果表明,两种不同的制度可能共存。根据初始条件,股票市场可能表现出恒定或振荡的错误定价。当图表分析师仍然是唯一活跃的投机者时,持续的错误定价就会发生,导致股票价格向非基本价值收敛。相反,当原教旨主义者反复进入和退出市场时,股价会围绕其基本价值波动。有趣的是,这些振荡动力学与一种新的吸引子有关,称为“奇怪的准周期吸引子”。当受到动态噪声的影响时,我们的模型再现了股票市场的几个重要的程式化事实,因此可以认为是有效的。
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
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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