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An Intertemporal General Equilibrium Asset Pricing Model: The Case of Diffusion Information

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Author Info
Huang, Chi-fu
Abstract

This paper provides sufficient conditions for the equilibrium price system and a vector of exogenously specified state variable processes to form a diffusion process in a pure exchange economy. The conditions involve smoothness of agents' utility functions and certain nice properties of the aggregate endowment process and the dividend processes of traded assets. In place of the dynamic programming, a martingale representation technique is utilized to characterize equilibrium portfolio policies. This technique is useful even when there does not exist a finite dimensional Markov structure in the economy and thus the Markovian stochastic dynamic programming is not applicable. A gents are shown to hold certain hedging mutual funds and the riskless asset. In contrast to earlier results, the market portfolio does not have a special role in hedging, since the markets are dynamically complete. When there exists a finite dimensional Markov system in the economy, the dimension of the hedging demand identified through the Markovian dynamic programming may be much larger than that identified by the martingale method. Copyright 1987 by The Econometric Society.

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Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 55 (1987)
Issue (Month): 1 (January)
Pages: 117-42
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Handle: RePEc:ecm:emetrp:v:55:y:1987:i:1:p:117-42

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  1. Laurent E. Calvet & Adlai J. Fisher, 2006. "Multifrequency Jump-Diffusions: An Equilibrium Approach," NBER Working Papers 12797, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Isabelle Bajeux, 1989. "Gestion de portefeuille dans un modéle binomial," Annales d'Economie et de Statistique, ADRES, issue 13, pages 02, Janvier-M. [Downloadable!]
  3. Cox, John C. & Huang, Chi-fu., 1989. "A variational problem arising in financial economics," Working papers 2110-89., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
  4. Elyès Jouini, 2001. "Arbitrage and Control Problems in Finance. Presentation," Post-Print halshs-00167152_v1, HAL. [Downloadable!]
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  5. Patrick K. Asea & Mthuli Ncube, 1997. "Heterogeneous Information Arrival and Option Pricing," NBER Working Papers 5950, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Elyès Jouini & Clotilde Napp, 2003. "A class of models satisfying a dynamical version of the CAPM," Post-Print halshs-00167159_v1, HAL. [Downloadable!]
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  7. Patrick Asea & Mthuli Nube, 1997. "Heterogeneous Information Arrival and Option Pricing," UCLA Economics Working Papers 763, UCLA Department of Economics. [Downloadable!]
  8. Jose S. Penalva Zuasti, 2001. "Insurance with Frequency Trading: A Dynamic Analysis of Efficient Insurance Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(4), pages 790-822, October. [Downloadable!] (restricted)
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  9. Merton, Robert C., 1986. "Capital market theory and the pricing of financial securities," Working papers 1818-86., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
    Other versions:
  10. Antonio Mele & Fabio Fornari, 1999. "Stochastic Volatility and the Informational Content of Option Prices: Empirical Analysis," Computing in Economics and Finance 1999 912, Society for Computational Economics. [Downloadable!]
  11. Dimitris Bertsimas & Leonid Kogan & Andrew W. Lo, 1997. "Pricing and Hedging Derivative Securities in Incomplete Markets: An E-Aritrage Model," NBER Working Papers 6250, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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