大脑中的资源配置与股权溢价之谜

Hammad Siddiqi
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引用次数: 2

摘要

当信息到达人脑时会发生什么?在经济学中,信息吸收的黑箱方法通常有一个隐含的假设,即信息一旦到达大脑,就会被正确处理。与此形成鲜明对比的是,脑科学研究已经证实,当信息到达大脑时,首先会激活已有的知识结构或图式,从而影响信息的吸收。创建这些知识结构的过程是资源密集型的。它包括使用一个预先存在的模式作为起点,并试图通过使用有限的大脑资源来适当地调整它。我们将这种方法应用于投资者试图计算各种股票价值的思维过程。我们表明,在约束资源约束下,在资产定价中标准夏普比率表达式的右侧出现了一个新的乘法项。这个新术语为股票溢价之谜提供了一个统一的解释,产生了逆周期股票溢价,并产生了规模、价值和动量效应。该方法的一个新的预测是动量与价值和大小的负相关
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Resource Allocation in the Brain and the Equity Premium Puzzle
What happens when information reaches the human brain? In economics, a black box approach to information absorption is generally taken with an implicit assumption that, information, once it reaches the brain, is correctly processed. In sharp contrast, research in brain sciences has established that when information reaches the brain, a pre-existing knowledge structure or schema is first activated, which influences information absorption. The process through which these knowledge structures are created is resource intensive. It involves using a pre-existing schema as a starting point and attempting to adjust it appropriately by using finite brain resources. We apply this approach to the thinking process of investors trying to work out the worth of various stocks. We show that with a binding resource constraint, a new multiplicative term emerges on the right-hand-side of the standard Sharpe-ratio expression in asset pricing. This new term provides a unified explanation for the equity premium puzzle, generates counter-cyclical equity premia, and gives rise to size, value, and momentum effects. A novel prediction of the approach is negative correlation of momentum with value and size
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