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Asymmetric loss functions and the rationality of expected stock returns
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Aretz, Kevin, Bartram, Söhnke M. and Pope, Peter F. (2011) Asymmetric loss functions and the rationality of expected stock returns. International Journal of Forecasting, Vol.27 (No.2). pp. 413-437. doi:10.1016/j.ijforecast.2009.10.008 ISSN 0169-2070.
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Official URL: http://dx.doi.org/10.1016/j.ijforecast.2009.10.008
Abstract
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.
Item Type: | Journal Article | ||||
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Subjects: | H Social Sciences > HG Finance | ||||
Divisions: | Faculty of Social Sciences > Warwick Business School > Finance Group Faculty of Social Sciences > Warwick Business School |
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Journal or Publication Title: | International Journal of Forecasting | ||||
Publisher: | Elsevier | ||||
ISSN: | 0169-2070 | ||||
Official Date: | April 2011 | ||||
Dates: |
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Volume: | Vol.27 | ||||
Number: | No.2 | ||||
Number of Pages: | 25 | ||||
Page Range: | pp. 413-437 | ||||
DOI: | 10.1016/j.ijforecast.2009.10.008 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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