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A Dynamic Equilibrium Model of Asset Prices and Transaction Volume

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  • Huffman, Gregory W

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  • Huffman, Gregory W, 1987. "A Dynamic Equilibrium Model of Asset Prices and Transaction Volume," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 138-159, February.
    • Handle: RePEc:ucp:jpolec:v:95:y:1987:i:1:p:138-59
    DOI: 10.1086/261445
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    Cited by:

    1. Judd, Kenneth L., 1996. "Approximation, perturbation, and projection methods in economic analysis," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 12, pages 509-585, Elsevier.
    2. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    3. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    4. Ghysels, E. & Jasiak, J., 1994. "Stochastic Volatility and time Deformation: an Application of trading Volume and Leverage Effects," Cahiers de recherche 9403, Universite de Montreal, Departement de sciences economiques.
    5. Ghysels, E. & Harvey, A. & Renault, E., 1995. "Stochastic Volatility," Papers 95.400, Toulouse - GREMAQ.
    6. Andrew Glover & Jonathan Heathcote & Dirk Krueger & José-Víctor Ríos-Rull, 2020. "Intergenerational Redistribution in the Great Recession," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3730-3778.
    7. Marlon Azinovic & Luca Gaegauf & Simon Scheidegger, 2022. "Deep Equilibrium Nets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1471-1525, November.
    8. Peter Buhlmann, 1998. "Extreme events from the return-volume process: a discretization approach for complexity reduction," Applied Financial Economics, Taylor & Francis Journals, vol. 8(3), pages 267-278.
    9. Daniel Harenberg & Alexander Ludwig, 2015. "Social security in an analytically tractable overlapping generations model with aggregate and idiosyncratic risks," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(4), pages 579-603, August.
    10. Zhang, Harold H., 2000. "Explaining bond returns in heterogeneous agent models: The importance of higher-order moments," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1381-1404, September.
    11. Thomas Steinberger, 2005. "Pension benefit default risk and welfare effects of funding regulation," CSEF Working Papers 147, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    12. Grey Gordon, 2020. "Computing Dynamic Heterogeneous-Agent Economies: Tracking the Distribution," Economic Quarterly, Federal Reserve Bank of Richmond, issue 2Q, pages 61-95.
    13. Felix KUBLER & Karl SCHMEDDERS, 2010. "Life-Cycle Portfolio Choice, the Wealth Distribution and Asset Prices," Swiss Finance Institute Research Paper Series 10-21, Swiss Finance Institute.
    14. Felix Kubler & Johannes Brumm, 2013. "Applying Negishi's method to stochastic models with overlapping generations," 2013 Meeting Papers 1352, Society for Economic Dynamics.
    15. Chang, Carolyn W. & S.K. Chang, Jack & Lim, Kian-Guan, 1998. "Information-time option pricing: theory and empirical evidence," Journal of Financial Economics, Elsevier, vol. 48(2), pages 211-242, May.
    16. Felix Kubler & Karl Schmedders, 2012. "Financial Innovation and Asset Price Volatility," American Economic Review, American Economic Association, vol. 102(3), pages 147-151, May.
    17. Krueger, Dirk & Kubler, Felix, 2004. "Computing equilibrium in OLG models with stochastic production," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1411-1436, April.

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