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Industry cost of equity capital: European evidence for multifactor models

机译:股权资本的行业成本:欧洲多因素模型的证据

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We estimate the costs of equity capital for 117 industries from 16 European countries employing the CAPM and 8 multifactor asset pricing models as well as a variety of different econometric techniques. In doing so, we extend previous research on cost of equity estimation in mainly two ways. First, our study involves European instead of US or UK industries, which are investigated in previous research, and we find that cost of equity estimates obtained from the CAPM or multifactor asset pricing models are as imprecise for European industries as for US and UK industries. Second, in addition to the CAPM, the Fama and French [1993. "Common Risk Factors in the Returns on Stocks and Bonds." Journal of Financial Economics 33: 3-56] three-factor model, and the Carhart [1997. "On Persistence in Mutual Fund Performance." The Journal of Finance 52 (1): 57-82] four-factor model, which are usually employed, our study includes six multifactor models that have not yet been examined on their ability to provide precise estimates of the costs of equity: the five-factor model of Fama and French [1993. "Common Risk Factors in the Returns on Stocks and Bonds." Journal of Financial Economics 33: 3-56] as well as the multifactor models of Pastor and Stambaugh [2003. "Liquidity Risk and Expected Stock Returns." Journal of Political Economy 111 (3): 642-685]; Campbell and Vuolteenaho [2004. "Bad Beta, Good Beta." American Economic Review 94 (5): 1249-1275]; Hahn and Lee [2006. "Yield Spreads as Alternative Risk Factors for Size and Book-To-Market." Journal of Financial & Quantitative Analysis 41 (2): 245-269]; Petkova [2006. "Do the Fama-French Factors Proxy for Innovations in Predictive Variables?" The Journal of Finance 61 (2): 581-612]; and Koijen, Lustig, and van Nieuwerburgh [2010. "The Cross-Section and Time-Series of Stock and Bond Returns." Working Paper, University of Chicago, University of California at Los Angeles, New York University]. Our results suggest that these models provide even more imprecise cost of equity estimates. One main reason for these inaccurate estimates is the large temporal variation of the risk loadings on the non-traded factors in these models.
机译:我们使用CAPM和8种多因素资产定价模型以及各种不同的计量经济学方法,估算了16个欧洲国家/地区的117个行业的股权资本成本。在此过程中,我们主要通过两种方式扩展了先前对权益估计成本的研究。首先,我们的研究涉及欧洲而不是美国或英国的行业,而先前的研究对此进行了研究,并且我们发现,从CAPM或多因素资产定价模型获得的股权成本估算与美国和英国的行业一样,对欧洲的行业而言并不精确。第二,除了CAPM,Fama和French [1993。 “股票和债券收益中的共同风险因素。”金融经济学杂志33:3-56]三因素模型,以及Carhart [1997。 “关于共同基金业绩的持续性。”金融杂志(52)(1):57-82]通常使用的四因素模型,我们的研究包括六个多因素模型,这些模型尚未就其提供股权成本的准确估计能力进行过研究:五个Fama和French的因子模型[1993。 “股票和债券收益中的共同风险因素。”金融经济学杂志33:3-56]以及Pastor和Stambaugh的多因素模型[2003。 “流动性风险和预期的股票收益。”政治经济学杂志111(3):642-685]; Campbell和Vuolteenaho [2004年。 “不良Beta版,良好Beta版。”美国经济评论94(5):1249-1275];哈恩和李[2006。 “收益率是规模和按市值计价的替代风险因素。”金融与定量分析杂志41(2):245-269];佩特科娃[2006。 “ Fama-French因素是否代表了预测变量的创新?”金融杂志61(2):581-612];以及Koijen,Lustig和van Nieuwerburgh [2010年。 “股票和债券收益的横截面和时间序列。”工作文件,芝加哥大学,加利福尼亚大学洛杉矶分校,纽约大学]。我们的结果表明,这些模型提供的股权估计成本甚至更高。这些不准确的估计的主要原因之一是这些模型中非交易因素的风险负荷的较大时间变化。

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