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THE IMPLICATIONS OF TRADER COGNITIVE ABILITIES ON STOCK MARKET PROPERTIES

机译:交易者认知能力对股票市场属性的影响

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Market structure and individual rationality remain at the centre of a debate as to which is the main driving force in market performance. We examine the role of individual rationality, comparing zero-intelligence traders with traders with different levels of intelligence using a special adaptive form of strongly typed genetic programming-based learning algorithm. We use this approach with real data: historical quotes of the S&P 500 and Coca-Cola stock prices. We find a mixture of positive and negative impacts from intelligence on market performance. Because the concept of market structure as a driving force has been significantly challenged in the literature, we suggest that the inclusion of both intelligence and market structures is important when examining the driving forces of market performance. This inclusion is consistent with the research of Todd and Gigerenzer (Journal of Economic Psychology, 24 (2003) 143-165), which asserts that both environment (market structure) and agents' cognition play important roles.
机译:市场结构和个人理性仍然是争论的焦点,关于哪一个是市场表现的主要驱动力。我们使用一种特殊的自适应形式的强类型遗传编程为基础的学习算法,比较零理性交易者与不同智力水平的交易者,从而检验个人理性的作用。我们使用这种方法处理真实数据:标准普尔500指数和可口可乐股价的历史报价。我们发现情报对市场表现的正面和负面影响混合在一起。因为市场结构作为驱动力的概念已在文献中受到了很大的挑战,所以我们建议,在研究市场绩效的驱动力时,将情报和市场结构包括在内是很重要的。此包含与Todd和Gigerenzer的研究(Journal of Economic Psychology,24(2003)143-165)一致,该研究断言环境(市场结构)和代理商的认知都起着重要的作用。

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