The long-run relationship between stock return dispersion and output
Based on the rational that some industry groups are more closely linked to the business cycle than others, we re-examined a previous analysis on the long-term relationship between stock return dispersion by industry and Gross Domestic Product (GDP), which evaluated data until 1987 by extending it to 2008. Using Mean Square Forecast Errors (MSFE) statistics, we find that incorporating the return dispersion in Vector Autoregressive (VAR) models enhances their forecasting power for output (GDP) in the long run. This article also determines that the relationship between stock return dispersion by industry and GDP is tenuous in the recent decade from 1999.
Year of publication: |
2013
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Authors: | Homaifar, Ghassem A. ; Adongo, Jonathan ; Zhao, Kevin M. |
Published in: |
Applied Economics. - Taylor & Francis Journals, ISSN 0003-6846. - Vol. 45.2013, 7, p. 943-952
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Publisher: |
Taylor & Francis Journals |
Saved in:
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