Department of Business Administration, Rey Juan Carlos University, Madrid, Spain.
PLoS One. 2020 Nov 3;15(11):e0241318. doi: 10.1371/journal.pone.0241318. eCollection 2020.
Most single-factor and multifactor asset pricing models constitute special cases of the consumption-based asset pricing theory, in which investors' marginal utility is the key determinant of asset prices. However, in recent years, production-based asset pricing models have been extraordinarily successful in correctly pricing a wide range of anomaly portfolios that are typically mispriced in previous research. In parallel, research on conditioning information has contributed to significantly improve the performance of classic consumption-based asset pricing models. On this basis, in this paper we conduct an in-depth research on the performance of consumption and production-based asset pricing models on the Tokyo Stock Exchange, for the period from 1992 to 2018, in order to test to what extent consumer confidence helps consumption models to correctly capture shifts in the investment opportunity set of investors. To overcome the constraints imposed by the periodicity of macroeconomic data, we use a factor-mimicking portfolio approach that allows us to test the performance of the models into consideration at different frequencies. Our results suggest that the consumer confidence index for Japan helps consumption-based asset pricing models outperform production-based models for different anomaly portfolios. Conversely, in those cases where consumption models perform worse, the production models also perform poorly. These results help to partially reconcile the results provided by the consumption and production models, and constitute a step forward for the purpose of identifying the fundamental risk factors that drive asset prices.
大多数单因素和多因素资产定价模型构成了基于消费的资产定价理论的特例,其中投资者的边际效用是资产价格的关键决定因素。然而,近年来,基于生产的资产定价模型在正确定价广泛的异常投资组合方面取得了非凡的成功,这些异常投资组合在之前的研究中通常被错误定价。与此同时,关于条件信息的研究也有助于显著提高经典基于消费的资产定价模型的性能。在此基础上,本文深入研究了基于消费和生产的资产定价模型在东京证券交易所的表现,时间跨度为 1992 年至 2018 年,以检验消费者信心在多大程度上有助于消费模型正确捕捉投资者投资机会集的变化。为了克服宏观经济数据周期性带来的限制,我们使用了一种因子模拟投资组合的方法,使我们能够在不同的频率下测试模型的性能。研究结果表明,日本消费者信心指数有助于消费型资产定价模型在不同的异常投资组合中优于生产型模型。相反,在消费模型表现较差的情况下,生产模型的表现也较差。这些结果有助于部分调和消费和生产模型提供的结果,并为确定驱动资产价格的基本风险因素迈出了一步。