Technology, Adaptation and the Efficient Market Hypothesis

Daniel Grabowski
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引用次数: 1

Abstract

Tests of the efficient market hypothesis (EMH) suffer from a known flaw that has nevertheless received insufficient attention in the literature. Just as in Zeno’s famous paradox of Achilles and the tortoise, while we are testing market efficiency the measure of efficiency has already moved on. Prediction technology and data availability perpetually improve beyond the level that was available to market participants during the sample period. This introduces a bias into the tests. If one believes in the existence of deterministic patterns and of technological progress, one has to expect to discover inefficiencies in historical data. We can only expect prices to reflect all available in- formation to the degree that current technology enables. From this argument follows a necessity to adjust the EMH. This article discusses possible adjustments and develops the concept of technological efficiency. Based on a review of empirical evidence, this concept is shown to resolve many anomalies and to help bridge the gap between the financial economics literature and the rapidly advancing machine learning literature.
技术、适应与有效市场假说
有效市场假说(EMH)的检验存在一个已知的缺陷,但在文献中没有得到足够的重视。正如芝诺著名的“阿喀琉斯与乌龟”悖论一样,当我们在测试市场效率时,效率的衡量标准已经发生了变化。预测技术和数据的可用性不断提高,超出了市场参与者在样本期间可以获得的水平。这在测试中引入了偏差。如果一个人相信确定性模式和技术进步的存在,他就必须预料到在历史数据中发现效率低下。我们只能期望价格在当前技术允许的程度上反映所有可用的信息。从这个论点可以得出调整有效市场假说的必要性。本文讨论了可能的调整,并发展了技术效率的概念。基于对经验证据的回顾,这一概念被证明可以解决许多异常现象,并有助于弥合金融经济学文献与快速发展的机器学习文献之间的差距。
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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