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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Higher order effects in asset pricing models with long-run risks |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Journal of Finance |
| Publisher | Wiley-Blackwell Publishing, Inc. |
| Geographical Reach | international |
| ISSN | 0022-1082 |
| Volume | 73 |
| Number | 3 |
| Page Range | 1061 - 1111 |
| Date | 2018 |
| Abstract Text | This paper shows that the latest generation of asset pricing models with long‐run risk exhibit economically significant nonlinearities, and thus the ubiquitous Campbell‐Shiller log‐linearization can generate large numerical errors. These errors translate in turn to considerable errors in the model predictions, for example, for the magnitude of the equity premium or return predictability. We demonstrate that these nonlinearities arise from the presence of multiple highly persistent processes, which cause the exogenous states to attain values far away from their long‐run means with nonnegligible probability. These extreme values have a significant impact on asset price dynamics. |
| Free access at | DOI |
| Digital Object Identifier | 10.1111/jofi.12615 |
| Other Identification Number | merlin-id:18106 |
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