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Asymmetric loss functions and the rationality of expected stock returns

机译:非对称损失函数与预期股票收益率的合理性

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摘要

We combine the innovative approaches of Elliott, Komunjer, and Timmermann (2005) and Patton and Timmermann (2007) with a block bootstrap to analyze whether asymmetric loss functions can rationalize the S&P 500 return expectations of individual forecasters from the Livingston Surveys. Although the rationality of these forecasts has often been rejected, earlier studies have relied on the assumption that positive and negative forecast errors of identical magnitudes are equally important to forecasters. Allowing for homogenous asymmetric loss, our evidence still strongly rejects forecast rationality. However, if we allow for variation in asymmetric loss functions across forecasters, not only do we find significant differences in preferences, but also we can often no longer reject forecast rationality. Our conclusions raise serious doubts about the homogeneous expectations assumption often made in asset pricing, portfolio construction and corporate finance models.
机译:我们将Elliott,Komunjer和Timmermann(2005)以及Patton和Timmermann(2007)的创新方法与整体引导相结合,以分析非对称损失函数是否可以使利文斯顿调查的单个预测者的S&P 500收益期望合理化。尽管这些预测的合理性经常遭到拒绝,但较早的研究仍基于这样的假设,即相同幅度的正负预测误差对预测者同样重要。考虑到均匀的不对称损失,我们的证据仍然强烈反对预测的合理性。但是,如果我们允许各预测者之间的不对称损失函数发生变化,那么不仅我们会发现偏好方面的显着差异,而且我们常常无法再拒绝预测的合理性。我们的结论使人们对资产定价,证券投资组合和公司融资模型中经常采用的同类预期假设提出了严重怀疑。

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