Currency Conversion of Fama/French Factors: How and Why

M. Glück, Benjamin Hübel, H. Scholz
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引用次数: 11

Abstract

A convenient way to apply Fama/French factor models in empirical research is to use factor returns downloaded from databases like Kenneth French’s data library. These factors are usually provided in US dollars – for both US and non-US stock markets. When evaluating non-US data samples from a non US-dollar investor’s perspective (e.g., European funds from a EUR perspective), we point out that the downloaded factors need to be converted into the respective non-US-dollar currency. In this paper, we show how to convert the currencies of downloaded factors. Moreover, we illustrate the statistical and practical relevance of the currency conversion based on passive index returns of the MSCI Europe IMI and returns of actively managed European equity funds from a EUR perspective. Our findings suggest that neglecting the currency conversion results in skewed estimated alphas and factor loadings. The currency conversion of downloaded factors is thus relevant in drawing reliable conclusions when applying factor models from a non-US dollar perspective.
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法马/法国因素的货币转换:如何以及为什么
在实证研究中应用Fama/French因子模型的一种方便的方法是使用从数据库下载的因子回报,比如Kenneth French的数据库。这些因素通常以美元提供,包括美国和非美国股票市场。当从非美元投资者的角度评估非美元数据样本时(例如,从欧元的角度评估欧洲基金),我们指出,下载的因素需要转换成相应的非美元货币。在本文中,我们展示了如何转换下载因子的货币。此外,我们从欧元的角度,基于MSCI欧洲IMI的被动指数回报和主动管理的欧洲股票基金的回报,说明了货币转换的统计和实际相关性。我们的研究结果表明,忽略货币转换会导致估计阿尔法和因子负载的倾斜。因此,当从非美元角度应用因素模型时,下载因素的货币转换与得出可靠的结论有关。
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