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Rate of Return Parity in Experimental Asset Markets


  • Jason Childs
  • Stuart Mestelman


This paper applies experimental methods to evaluate the completeness of arbitrage and rate of return parity in simultaneous asset markets in which the assets are denominated in different currencies. Two assets, which return uncertain, but known, dividends in each trading period, are traded over twenty periods, after which the asset has no value. Results indicate that risk neutral rate of return parity is a strong predictor of relative asset prices when assets have common expected dividends and the expected dividends have common variances. The predictive power of risk neutral rate of return parity is reduced as the assets become differentiated.

Suggested Citation

  • Jason Childs & Stuart Mestelman, 2004. "Rate of Return Parity in Experimental Asset Markets," Department of Economics Working Papers 2004-01, McMaster University.
  • Handle: RePEc:mcm:deptwp:2004-01

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    References listed on IDEAS

    1. Friedman,Daniel & Sunder,Shyam, 1994. "Experimental Methods," Cambridge Books, Cambridge University Press, number 9780521456821, March.
    2. Ayuso, Juan & Restoy, Fernando, 1996. "Interest rate parity and foreign exchange risk premia in the ERM," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 369-382, June.
    3. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    4. Mayfield, E. Scott & Murphy, Robert G., 1992. "Interest rate parity and the exchange risk premium Evidence from panel data," Economics Letters, Elsevier, vol. 40(3), pages 319-324, November.
    5. Kenneth A. Froot & Jeffrey A. Frankel, 1986. "Interpreting Tests of Forward Discount Bias Using Survey Data on Exchange Rate Expectations," NBER Working Papers 1963, National Bureau of Economic Research, Inc.
    6. Maurice Obstfeld & Kenneth Rogoff, 2001. "The Six Major Puzzles in International Macroeconomics: Is There a Common Cause?," NBER Chapters,in: NBER Macroeconomics Annual 2000, Volume 15, pages 339-412 National Bureau of Economic Research, Inc.
    7. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    8. Smith, Vernon L, 1985. "Experimental Economics: Reply," American Economic Review, American Economic Association, vol. 75(1), pages 264-272, March.
    9. Sunder, S., 1992. "Experimental Asset Markets: A Survey," GSIA Working Papers 1992-19, Carnegie Mellon University, Tepper School of Business.
    10. Allan W. Gregory, 1987. "Testing Interest Rate Parity and Rational Expectations for Canada and the United States," Canadian Journal of Economics, Canadian Economics Association, vol. 20(2), pages 289-305, May.
    11. Dutton, Marilyn Miller, 1993. "Real interest rate parity new measures and tests," Journal of International Money and Finance, Elsevier, vol. 12(1), pages 62-77, February.
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    13. Frachot, Antoine, 1996. "A reexamination of the uncovered interest rate parity hypothesis," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 419-437, June.
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    Cited by:

    1. Marina Fiedler, 2011. "Symposium: Experience and Confidence in an Internet-Based Asset Market Experiment," Southern Economic Journal, Southern Economic Association, vol. 78(1), pages 30-52, July.
    2. Childs, Jason, 2009. "Rate of return parity and currency crises in experimental asset markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 157-170, February.
    3. Kenneth S. Chan & Vivian Lei & Filip Vesely, 2013. "Differentiated Assets: An Experimental Study On Bubbles," Economic Inquiry, Western Economic Association International, vol. 51(3), pages 1731-1749, July.
    4. Stefan Palan, 2014. "A Software for Asset Market Experiments," Working Paper Series, Social and Economic Sciences 2014-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.

    More about this item

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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