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Cost Minimization and Asset Pricing


  • Robert G. Chambers

    () (Dept of Agricultural and Resource Economics, University of Maryland, College Park)

  • John Quiggin

    () (Department of Economics, University of Queensland A)


A cost-based approach to asset-pricing equilibrium relationships is developed. A cost function induces a stochastic discount factor (pricing kernel) that is a function of random output, prices, and capital stockt. By eliminating opportunities for arbitrage between financial markets and the production technology, firms minimize the current cost of future consumption. The first-order conditions for this cost minimization problem generate the stochastic discount factor. The cost-based approach is dual in nature and determines state-claim prices as the current-period marginal cost of increasing future stochastic output. A cost-based pricing kernel is estimated using annual time-series data on macroeconomic variables and returns data
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Suggested Citation

  • Robert G. Chambers & John Quiggin, 2005. "Cost Minimization and Asset Pricing," Risk & Uncertainty Working Papers WP3R05, Risk and Sustainable Management Group, University of Queensland.
  • Handle: RePEc:rsm:riskun:r05_3

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    References listed on IDEAS

    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Shiller, Robert J., 1982. "Consumption, asset markets and macroeconomic fluctuations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 17(1), pages 203-238, January.
    3. Jermann, Urban J., 1998. "Asset pricing in production economies," Journal of Monetary Economics, Elsevier, vol. 41(2), pages 257-275, April.
    4. TallariniJr., Thomas D., 2000. "Risk-sensitive real business cycles," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 507-532, June.
    5. Ross, Stephen A, 1978. "A Simple Approach to the Valuation of Risky Streams," The Journal of Business, University of Chicago Press, vol. 51(3), pages 453-475, July.
    6. Clark, Stephen A., 1993. "The valuation problem in arbitrage price theory," Journal of Mathematical Economics, Elsevier, vol. 22(5), pages 463-478.
    7. Robert G. Chambers & John Quiggin, 1998. "Cost Functions and Duality for Stochastic Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 288-295.
    8. Hansen, Lars Peter & Jagannathan, Ravi, 1991. "Implications of Security Market Data for Models of Dynamic Economies," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 225-262, April.
    9. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    10. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    11. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    12. repec:arz:wpaper:eres1993-121 is not listed on IDEAS
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    Cited by:

    1. David Adamson & Thilak Mallawaarachchi & John Quiggin, 2007. "Water use and salinity in the Murray-Darling Basin: A state-contingent model ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 263-281, September.
    2. John Quiggin & Robert G. Chambers, 2006. "The state-contingent approach to production under uncertainty ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 153-169, June.

    More about this item

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

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