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Puzzle solver


  • Christian, Mueller-Kademann


This paper presents a model for asset markets with a subjectively rational solution for the price of the traded asset. Traders cannot act objectively rational and an increase in the number of traders does not enlarge the information set neccessary for determining the “true” price. Consequentely, many well-known “puzzles” vanish as there is no objective truth to which data could live up. An empirical test is conducted which demonstrates the relevance of the argument across time, space, and markets.

Suggested Citation

  • Christian, Mueller-Kademann, 2009. "Puzzle solver," MPRA Paper 19852, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:19852

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    References listed on IDEAS

    1. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290 World Scientific Publishing Co. Pte. Ltd..
    2. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1998. "Is There Private Information in the FX Market? The Tokyo Experiment," Journal of Finance, American Finance Association, vol. 53(3), pages 1111-1130, June.
    3. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    4. Sims, Christopher A., 2005. "Rational inattention: a research agenda," Discussion Paper Series 1: Economic Studies 2005,34, Deutsche Bundesbank.
    5. Martin Dufwenberg & Tobias Lindqvist & Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1731-1737, December.
    6. repec:hrv:faseco:33077905 is not listed on IDEAS
    7. Hartmann, Philipp & Manna, Michele & Manzanares, Andres, 2001. "The microstructure of the euro money market," Journal of International Money and Finance, Elsevier, vol. 20(6), pages 895-948, November.
    8. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    9. Philippe Bacchetta & Eric van Wincoop, 2006. "Incomplete information processing: a solution to the forward discount puzzle," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
    10. Ané, Thierry & Ureche-Rangau, Loredana, 2008. "Does trading volume really explain stock returns volatility?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 216-235, July.
    11. William A. Branch, 2004. "The Theory of Rationally Heterogeneous Expectations: Evidence from Survey Data on Inflation Expectations," Economic Journal, Royal Economic Society, vol. 114(497), pages 592-621, July.
    12. Mark P. Taylor, 1995. "The Economics of Exchange Rates," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 13-47, March.
    13. Tirole, Jean, 2002. "Rational irrationality: Some economics of self-management," European Economic Review, Elsevier, vol. 46(4-5), pages 633-655, May.
    14. T. Ane & L. Ureche-Rangau, 2008. "Does Trading Volume Really Explain Stock Returns Volatility ?," Post-Print hal-00260668, HAL.
    15. Akram, Q. Farooq & Rime, Dagfinn & Sarno, Lucio, 2008. "Arbitrage in the foreign exchange market: Turning on the microscope," Journal of International Economics, Elsevier, vol. 76(2), pages 237-253, December.
    16. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    17. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    18. 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.
    19. Verma, Rahul & Verma, Priti, 2007. "Noise trading and stock market volatility," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 231-243, July.
    20. Bacchetta, Philippe & van Wincoop, Eric, 2005. "Rational Inattention: A Solution to the Forward Discount Puzzle," CEPR Discussion Papers 5261, C.E.P.R. Discussion Papers.
    21. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
    22. Richard K. Lyons, 2001. "Foreign exchange: macro puzzles, micro tools," Pacific Basin Working Paper Series 2001-10, Federal Reserve Bank of San Francisco.
    23. Salvatore, Dominick, 2005. "The euro-dollar exchange rate defies prediction," Journal of Policy Modeling, Elsevier, vol. 27(4), pages 455-464, June.
    24. Wang, Peijie & Jones, Trefor, 2003. "The impossibility of meaningful efficient market parameters in testing for the spot-forward relationship in foreign exchange markets," Economics Letters, Elsevier, vol. 81(1), pages 81-87, October.
    25. Reshmaan N. Hussam & David Porter & Vernon L. Smith, 2008. "Thar She Blows: Can Bubbles Be Rekindled with Experienced Subjects?," American Economic Review, American Economic Association, vol. 98(3), pages 924-937, June.
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    More about this item


    rational expectations; uncertainty; Tobin tax; financial crisis;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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