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Common Risk Factors Versus a Mispricing Factor of Tokyo Stock Exchange Firms: Inquiries into the Fundamental Value Derived from Analyst Earnings Forecasts

机译:东京证券交易所公司的常见风险因素与定价错误因素:从分析师收益预测中得出的基本价值的询问

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摘要

We search for common factors and/or a mispricing factor for Tokyo Stock Exchange firms. We utilize the Edwards-Bell-Ohlson model to compute the firms' fundamental value and divide this value by the firms' market price to construct a new variable called a 'value-to-price ratio' (VPR). We find that this VPR variable can generate abnormal returns even after adjusting for the risk factors related to portfolio style differences. To find out whether it is indeed a risk factor or simply a characteristic, we construct return difference portfolios of the high VPR stocks minus the low value-to-price stocks and call this portfolio the upward-forecast minus downward-forecast (UMD) factor. Fama and MacBeth test indicate that the risk premium for this UMD factor is positive. The best model in terms of the adjusted R~2 value is the four-factor model in which the UMD factor is added to the Fama and French three factors. GMM Euler condition tests reveal that the UMD factor helps to price assets and that the four-factor model is not rejected. We conclude the VPR variable contains new information content that is not contained in the conventional Fama and French's three factors.
机译:我们寻找东京证券交易所公司的共同因素和/或定价错误因素。我们利用Edwards-Bell-Ohlson模型来计算企业的基本价值,并将其除以企业的市场价格,以构建一个新的变量,称为“价值价格比”(VPR)。我们发现,即使在调整了与投资组合风格差异相关的风险因素之后,该VPR变量仍会产生异常收益。为了确定它是否确实是风险因素还是仅是特征,我们构造了高VPR股票减去低价值股票的收益差异投资组合,并将此投资组合称为向上预测减去向下预测(UMD)因子。 Fama和MacBeth检验表明,此UMD因子的风险溢价为正。就调整后的R〜2值而言,最佳模型是四因子模型,其中将UMD因子添加到Fama和French三个因子中。 GMM欧拉条件测试显示,UMD因子有助于对资产定价,并且四因子模型不会被拒绝。我们得出结论,VPR变量包含新的信息内容,而常规Fama和French的三个因素未包含这些信息。

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  • 来源
    《International review of finance》 |2009年第3期|269-294|共26页
  • 作者单位

    Graduate School of Strategic Management Chuo University 1-13-27, Kasuga, Bunkyo-ku Tokyo 112-8551 Japan;

    Waseda University, Tokyo, Japan;

    Waseda University, Tokyo, Japan;

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  • 正文语种 eng
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  • 入库时间 2022-08-17 23:40:03

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