Guidelines for asset pricing research using international equity data from Thomson Reuters Datastream

C. Landis, S. Skouras
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引用次数: 12

Abstract

Abstract We provide detailed guidelines and code to derive high quality international equity data from Thomson Reuters Datastream (TDS) data. Our approach increases stock and country coverage (to 91 countries), improves data accuracy, filters problematic data and reduces survivorship bias and data staleness. We validate our approach by demonstrating that our U.S. TDS factors are statistically and economically indistinguishable to standard Fama-French CRSP factors. On the other hand, when we compare our international factors to other publicly available international factors, differences are significant, so we justify and detail every aspect of our proposed guidelines. Our guidelines and accompanying code and data should be especially useful for international research focused on wide coverage, equal weighted portfolios, small stocks and countries with a limited number of stocks and for researchers wishing to analyze the US market with access to only TDS but not CRSP-Compustat data.
使用汤森路透数据流国际股票数据进行资产定价研究的指南
我们提供了详细的指南和代码,从汤森路透数据流(TDS)数据中获得高质量的国际股票数据。我们的方法增加了库存和国家覆盖范围(到91个国家),提高了数据准确性,过滤了有问题的数据,减少了生存偏差和数据过时。我们通过证明我们的美国TDS因素在统计和经济上与标准Fama-French CRSP因素无法区分来验证我们的方法。另一方面,当我们将我们的国际因素与其他公开的国际因素进行比较时,差异是显著的,因此我们证明并详细说明了我们提出的指导方针的每一个方面。我们的指南和随附的代码和数据应该特别有用的国际研究集中在广泛的覆盖面,等加权的投资组合,小股票和有限数量的股票的国家和研究人员希望分析美国市场只有TDS,而不是CRSP-Compustat数据。
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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