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Narrowing the No-Arbitrage Bounds

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  • 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.

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Paper provided by Risk and Sustainable Management Group, University of Queensland in its series Risk & Uncertainty Working Papers with number WPR03_3.

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Handle: RePEc:rsm:riskun:r03_3

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Keywords: arbitrage; state-contingent production;

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  1. Hansen, Lars Peter & Jagannathan, Ravi, 1997. " Assessing Specification Errors in Stochastic Discount Factor Models," Journal of Finance, American Finance Association, vol. 52(2), pages 557-90, June.
  2. Ross, Stephen A., 1976. "The arbitrage theory of capital asset pricing," Journal of Economic Theory, Elsevier, vol. 13(3), pages 341-360, December.
  3. LeRoy,Stephen F. & Werner,Jan, 2001. "Principles of Financial Economics," Cambridge Books, Cambridge University Press, number 9780521586054, April.
  4. Chambers, Robert G. & Quiggin, John C., 2002. "Separability Of Stochastic Production Decisions From Producer Risk Preferences In The Presence Of Financial Markets," Working Papers 28561, University of Maryland, Department of Agricultural and Resource Economics.
  5. Lars Peter Hansen & Ravi Jagannathan, 1990. "Implications of Security Market Data for Models of Dynamic Economies," NBER Technical Working Papers 0089, National Bureau of Economic Research, Inc.
  6. Chambers, Robert G & Quiggin, John, 2003. "Dual structures for the sole-proprietorship firm," Risk and Sustainable Management Group Working Papers 150352, University of Queensland, School of Economics.
  7. Clark, Stephen A., 1993. "The valuation problem in arbitrage price theory," Journal of Mathematical Economics, Elsevier, vol. 22(5), pages 463-478.
  8. Dreze, Jacques H, 1985. "(Uncertainty and) the Firm in General Equilibrium Theory," Economic Journal, Royal Economic Society, vol. 95(380a), pages 1-20, Supplemen.
  9. Kallal, Hedi & Jouini, Elyès, 1995. "Martingales and arbitrage in securities markets with transaction costs," Economics Papers from University Paris Dauphine 123456789/5630, Paris Dauphine University.
  10. Arturo Estrella & Gikas A. Hardouvelis, 1989. "The term structure as a predictor of real economic activity," Research Paper 8907, Federal Reserve Bank of New York.
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  12. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
  13. 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 453-75, July.
  14. Thomas Tallarini, . "Risk-Sensitive Real Business Cycles," GSIA Working Papers 1997-35, Carnegie Mellon University, Tepper School of Business.
  15. Ross, Stephen A, 1987. "Arbitrage and Martingales with Taxation," Journal of Political Economy, University of Chicago Press, vol. 95(2), pages 371-93, April.
  16. Jermann, Urban J., 1998. "Asset pricing in production economies," Journal of Monetary Economics, Elsevier, vol. 41(2), pages 257-275, April.
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Cited by:
  1. Chambers, Robert G & Quiggin, John, 2003. "Separability of stochastic production decisions from producer risk preferences in the presence of financial markets," Risk and Sustainable Management Group Working Papers 150348, University of Queensland, School of Economics.
  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.

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