Common Risk Factors vs. Mispricing Factor of Tokyo Stock Exchange Firms: Inquries into the Fundamental Price Derived from Analysts' Earnings Forecasts

Keiichi Kubota, K. Suda, Hitoshi Takehara
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Abstract

In this paper we try to find common factors that can explain the stock returns of Tokyo stock exchange firms with multivariate asset-pricing framework. Specifically, we explore the nature of risk contained in the size and the HML factor variables and their information content. For this purpose we utilize Edwards-Bell-Ohlson model to derive accounting based fundamental price and divide this value by the actual market price, whereas we call "value- to-price ratio" as Frankel and Lee did. By comparing the returns of the portfolios ranked by this candidate variable, we find that this value-to-price ratio variable contains new information content that is not yet reflected in the conventional book-to-price ratio, while its explanatory power is slightly inferior to the book-to-price ratio. The portfolio strategy based on the value-to-price ratios can earn abnormal cumulative returns for some subset of the sample portfolios and for a larger fraction of portfolios during a later sub-period of the sampling period. Some of the return differences are significant based on the t-test whose method initially proposed by Daniel and Titman (1997). To test for whether this variable can be a significant explanatory variable in a multivariate asset pricing model, we construct return difference portfolios ranked by the value-to-price ratio, whose method is identical to Fama and French (1993) method in their constructing the HML return difference portfolios. We call this factor variable as "UMO" (underestimating-minus-overestimating) factor variable. We conduct Fama and MacBeth test with this UMO factor as one of the candidate factor variables. Under the null hypothesis of the existence of the risk premium on each possible factor, we find that the risk premium of for UMO factor is significant. However, the degree of the significance is not universal unlike the case for the HML factor. Accordingly, we test for the characteristic hypothesis raised by Daniel and Titman (1997), and we conclude that this factor is rather a characteristic rather than a risk factor and cannot be a good substitute for the book-to-price ratio variable.
东京证券交易所公司的共同风险因素与错误定价因素:基于分析师收益预测的基本价格探讨
本文试图在多元资产定价框架下,寻找能够解释东京证券交易所公司股票收益的共同因素。具体来说,我们探讨了风险所包含的性质大小和HML因素变量及其信息含量。为此,我们利用Edwards-Bell-Ohlson模型推导出基于会计的基本价格,并将该价值除以实际市场价格,而我们像Frankel和Lee那样称之为“价值与价格比率”。通过比较按该候选变量排序的投资组合的收益,我们发现该价值价格比变量包含了尚未反映在常规账面价格比中的新信息内容,但其解释力略低于账面价格比。基于价值价格比的投资组合策略可以为样本投资组合的某些子集以及在采样周期的较晚子周期内的更大比例的投资组合获得异常的累积回报。根据Daniel和Titman(1997)最初提出的t检验方法,有些收益差异是显著的。为了检验该变量是否可以成为多元资产定价模型中的重要解释变量,我们构建了按价值与价格比率排序的收益差异组合,其方法与Fama和French(1993)构建HML收益差异组合的方法相同。我们把这个因子变量称为“UMO”(低估-减去-高估)因子变量。我们将该UMO因子作为候选因子变量之一进行Fama和MacBeth检验。在每个可能因素存在风险溢价的零假设下,我们发现UMO因素的风险溢价是显著的。然而,与html因素不同,其重要性的程度并不是普遍的。因此,我们对Daniel和Titman(1997)提出的特征假设进行了检验,我们得出结论,该因素与其说是风险因素,不如说是特征因素,不能很好地替代账面价格比变量。
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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