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Non-nested tests of a GDP-augmented Fama-French model versus a conditional Fama-French model in the Australian stock market

机译:澳大利亚股市中GDP增强型Fama-French模型与条件Fama-French模型的非嵌套测试

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摘要

We extend Vassalou (2003) by conditioning the Fama-French model with the same macroeconomic variables used to construct a GDP factor. The motivation for doing so is to ascertain whether the ability of the GDP-augmented model to explain equity returns is actually due to news about future GDP growth or whether it is due to the macroeconomic conditioning variables used to construct the GDP factor. We compare the performance of a GDP-enhanced Fama-French model with the conditional Fama-French model using non-nested testing techniques. We find that the GDP-augmented model considerably underperforms the conditional version of the model.
机译:我们通过使用与构建GDP因子相同的宏观经济变量来调节Fama-French模型来扩展Vassalou(2003)。这样做的动机是要确定GDP增强模型解释股本收益的能力实际上是由于有关未来GDP增长的消息,还是归因于用于构建GDP因子的宏观经济条件变量。我们使用非嵌套测试技术将GDP增强的Fama-French模型与条件Fama-French模型的性能进行了比较。我们发现,GDP增长模型大大低于模型的条件版本。

著录项

  • 来源
    《International review of economics & finance》 |2014年第1期|627-638|共12页
  • 作者单位

    UQBusiness School. University of Queensland, Brisbane 4072, Australia and Department of Accounting and Finance, University of Strathclyde, Glasgow,G4 OLN Scotland, United Kingdom;

    Department of Accounting and Finance, Monash University, Melbourne 3800, Australia;

    School of Accounting, Economics and Finance, Deakin University, Melbourne 3125, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    GDP growth; Fama-French model; Asset pricing;

    机译:GDP增长;Fama-French模型;资产定价;

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