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Narrowing the No-Arbitrage Bounds

Author

Listed:
  • Robert G. Chambers

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

  • John Quiggin

    (Department of Economics, University of Queensland)

Abstract

The broadness of no-arbitrage bounds on asset prices has led to a number of suggestions on how to narrow them. This paper points out that another, apparently unexploited, opportunity exists for narrowing the no-arbitrage bounds, using information on the production technology. The key analytic concept is that of the derivative-cost function, which is used to define a notion of arbitrage that encompasses both the basis assets and stochastic production opportunities.

Suggested Citation

  • Robert G. Chambers & John Quiggin, "undated". "Narrowing the No-Arbitrage Bounds," Risk & Uncertainty Working Papers WPR03_3, Risk and Sustainable Management Group, University of Queensland.
    • Handle: RePEc:rsm:riskun:r03_3
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    File URL: http://www.uq.edu.au/rsmg/WP/WPR03_3.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. Chambers, Robert G. & Quiggin, John, 2009. "Separability of stochastic production decisions from producer risk preferences in the presence of financial markets," Journal of Mathematical Economics, Elsevier, vol. 45(11), pages 730-737, December.
    2. Chambers, Robert G. & Färe, Rolf, 2011. "Efficiency analysis, shortage functions, arbitrage, and martingales," European Journal of Operational Research, Elsevier, vol. 213(1), pages 349-358, August.
    3. Robert Chambers & John Quiggin, 2010. "Cost minimization and the stochastic discount factor," Annals of Operations Research, Springer, vol. 176(1), pages 349-368, April.

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    More about this item

    Keywords

    arbitrage; state-contingent production;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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