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Testing for multiple bubbles with daily data

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  • Uribe Gil, Jorge Mario

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    Abstract

    A new methodology for testing and dating economic bubbles based on a sign test with recursive median adjustment is presented. The methodology, originally proposed by Soo and Shin (2001) to detect random walks, is well-suited, theoretically, to deal with the many features of high-frequency financial time series such as leptokurtosis, conditional heteroskedasticity and heavy tails. The approach is very pragmatic and relies upon an analysis of the integration order of the analyzed series. This paper presents an applicationof the method to the North American stock market and the findings concerning the origination and collapsing

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    Paper provided by UNIVERSIDAD DEL VALLE - CIDSE in its series DOCUMENTOS DE TRABAJO-CIDSE with number 011028.

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    Length: 22
    Date of creation: 11 Jul 2013
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    Handle: RePEc:col:000149:011028

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    Keywords: Burbujas; Economía; Medición;

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    1. Allen, Franklin & Gale, Douglas, 2000. "Bubbles and Crises," Economic Journal, Royal Economic Society, vol. 110(460), pages 236-55, January.
    2. Dilip Abreu & Markus K. Brunnermeier, 2003. "Bubbles and Crashes," Econometrica, Econometric Society, vol. 71(1), pages 173-204, January.
    3. van Norden Simon & Vigfusson Robert, 1998. "Avoiding the Pitfalls: Can Regime-Switching Tests Reliably Detect Bubbles?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-24, April.
    4. S. Grossman & R. Shiller, . "The Determinants of the Variability of Stock Market Price," Rodney L. White Center for Financial Research Working Papers 18-80, Wharton School Rodney L. White Center for Financial Research.
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    7. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1999. "Detecting Periodically Collapsing Bubbles: A Markov-Switching Unit Root Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 143-54, March-Apr.
    8. Flavin, Marjorie A, 1983. "Excess Volatility in the Financial Markets: A Reassessment of the Empirical Evidence," Journal of Political Economy, University of Chicago Press, vol. 91(6), pages 929-56, December.
    9. West, Kenneth D, 1987. "A Specification Test for Speculative Bubbles," The Quarterly Journal of Economics, MIT Press, vol. 102(3), pages 553-80, August.
    10. William A. Branch & George W. Evans, . "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," CDMA Working Paper Series 201010, Centre for Dynamic Macroeconomic Analysis, revised 15 Apr 2010.
    11. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-74, May.
    12. Roger E.A. Farmer, 2009. "Confidence, Crashes and Animal Spirits," NBER Working Papers 14846, National Bureau of Economic Research, Inc.
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    14. Robert J. Shiller, 1980. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," NBER Working Papers 0456, National Bureau of Economic Research, Inc.
    15. Tirole, Jean, 1985. "Asset Bubbles and Overlapping Generations," Econometrica, Econometric Society, vol. 53(6), pages 1499-1528, November.
    16. Simon van Norden, 1995. "Regime Switching as a Test for Exchange Rate Bubbles," Econometrics 9502001, EconWPA, revised 09 Aug 1995.
    17. van Norden, Simon & Schaller, Huntley, 1993. "The Predictability of Stock Market Regime: Evidence from the Toronto Stock Exchange," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 505-10, August.
    18. Kleidon, Allan W, 1986. "Variance Bounds Tests and Stock Price Valuation Models," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 953-1001, October.
    19. Froot, Kenneth A & Obstfeld, Maurice, 1991. "Intrinsic Bubbles: The Case of Stock Prices," American Economic Review, American Economic Association, vol. 81(5), pages 1189-214, December.
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