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Rate‐of‐return Parity in Experimental Asset Markets

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  • Jason Childs
  • Stuart Mestelman

Abstract

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 20 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.

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  • Jason Childs & Stuart Mestelman, 2006. "Rate‐of‐return Parity in Experimental Asset Markets," Review of International Economics, Wiley Blackwell, vol. 14(3), pages 331-347, August.
  • Handle: RePEc:bla:reviec:v:14:y:2006:i:3:p:331-347
    DOI: 10.1111/j.1467-9396.2006.00590.x
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    Cited by:

    1. Debapriya Jojo Paul & Julia Henker & Sian Owen, 2019. "The aggregate impacts of tournament incentives in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 22(2), pages 441-476, June.
    2. 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.
    3. 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.
    4. Marina Fiedler, 2011. "Experience and Confidence in an Internet‐Based Asset Market Experiment," Southern Economic Journal, John Wiley & Sons, vol. 78(1), pages 30-52, July.
    5. John Duffy & Jean Paul Rabanal & Olga A. Rud, 2022. "Market experiments with multiple assets: A survey," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 18, pages 213-224, Edward Elgar Publishing.
    6. Matthias Weber & John Duffy & Arthur Schram, 2019. "Credit Default Swap Regulation in Experimental Bond Markets," Tinbergen Institute Discussion Papers 19-039/I, Tinbergen Institute.
    7. 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.
    8. Duffy, John & Friedman, Dan & Rabanal, Jean Paul & Rud, Olga, 2022. "The impact of ETF index inclusion on stock prices," UiS Working Papers in Economics and Finance 2022/2, University of Stavanger.
    9. 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.
    10. Marina Fiedler, 2011. "Symposium: Experience and Confidence in an Internet-Based Asset Market Experiment," Southern Economic Journal, John Wiley & Sons, vol. 78(1), pages 30-52, July.
    11. Owen Powell & Natalia Shestakova, 2017. "Experimental asset markets: behavior and bubbles," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 21, pages 375-391, Edward Elgar Publishing.

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    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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