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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Higher-order dynamics in asset-pricing models with recursive preferences
Organization Unit
Authors
  • Karl Schmedders
  • Walter Edward Pohl
  • Ole Wilms
Language
  • English
Institution University of Zurich
Series Name Swiss Finance Inst
Number 14-68
Number of Pages 57
Date 2015
Abstract Text This paper presents an analysis of the higher-order dynamics of key financial quantities in asset-pricing models with recursive preferences. For this purpose, we first describe a projection-based algorithm for solving such models. The method outperforms common methods like discretization and log-linearization in terms of effciency and accuracy. Our algorithm allows us to document the presence of strong nonlinear effects in the modern long-run risks models which cannot be captured by the common methods. For example, for a prominent recent calibration of a popular long-run risks model, the log-linearization approach overstates the equity premium by 100 basis points or 22.5%. The increasing complexity of state-of-the-art asset-pricing models leads to complex nonlinear equilibrium functions with considerable curvature which in turn have sizable economic implications. Therefore, these models require numerical solution methods, such as the projection methods presented in this paper, that can adequately describe the higher- order equilibrium features.
Official URL http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2540586
Other Identification Number merlin-id:12803
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