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Asset prices with locally constrained-entropy recursive multiple-priors utility

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Author Info

  • Sbuelz, Alessandro
  • Trojani, Fabio

Abstract

Control problems with recursive multiple-priors utility (RMPU) are highly non-linear so that RMPU asset prices have been studied in very simple exchange economies only. We identify a continuous-time exchange equilibrium with locally-constrained entropy RMPU (LCE-RMPU) that is tractable even in the presence of a stochastic opportunity set and incomplete markets. We find that time variation in the LCE-based ambiguity set is able to capture important features of consumption and asset markets data.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 32 (2008)
Issue (Month): 11 (November)
Pages: 3695-3717

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Handle: RePEc:eee:dyncon:v:32:y:2008:i:11:p:3695-3717

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Web page: http://www.elsevier.com/locate/jedc

Related research

Keywords: Asset pricing General equilibrium Model misspecification Recursive multiple-priors utility Locally constrained entropy;

References

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Citations

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Cited by:
  1. Imene Safer Chakroun & Abdelkader Hamdouni, 2010. "Information costs in financial markets: evidence from the Tunisian stock market," Journal of Risk Finance, Emerald Group Publishing, vol. 11(4), pages 401-409, August.
  2. Larry G. Epstein & Martin Schneider, 2010. "Ambiguity and Asset Markets," NBER Working Papers 16181, National Bureau of Economic Research, Inc.
  3. Massimo Guidolin & Francesca Rinaldi, 2011. "Ambiguity in Asset Pricing and Portfolio Choice: A Review of the Literature," Working Papers 417, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  4. Martin Schneider, 2010. "The Research Agenda: Martin Schneider on Multiple Priors Preferences and Financial Markets," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 11(2), April.
  5. Liu, Hening, 2011. "Dynamic portfolio choice under ambiguity and regime switching mean returns," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 623-640, April.

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