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Data-Snooping, Technical Trading Rule Performance, and the Bootstrap

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Author Info
Ryan Sullivan (Economic Analysis LLC,)
Allan Timmermann (University of California, San Diego and the Financial Markets Group, London School of Economics,)
Halbert White (University of California, San Diego)

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Abstract

In this paper we utilize White's Reality Check bootstrap methodology (White (1999)) to evaluate simple technical trading rules while quantifying the data-snooping bias and fully adjusting for its effect in the context of the full universe from which the trading rules were drawn. Hence, for the first time, the paper presents a comprehensive test of performance across all technical trading rules examined. We consider the study of Brock, Lakonishok, and LeBaron (1992), expand their universe of 26 trading rules, apply the rules to 100 years of daily data on the Dow Jones Industrial Average, and determine the effects of data-snooping. Copyright The American Finance Association 1999.

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Article provided by American Finance Association in its journal The Journal of Finance.

Volume (Year): 54 (1999)
Issue (Month): 5 (October)
Pages: 1647-1691
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Handle: RePEc:bla:jfinan:v:54:y:1999:i:5:p:1647-1691

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  1. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June. [Downloadable!] (restricted)
  2. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 3(3), pages 431-67. [Downloadable!] (restricted)
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  3. Levich, Richard M. & Thomas, Lee III, 1993. "The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach," Journal of International Money and Finance, Elsevier, vol. 12(5), pages 451-474, October. [Downloadable!] (restricted)
  4. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-84, September. [Downloadable!] (restricted)
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  5. C.L. Osler & P.H. Kevin Chang, 1995. "Head and shoulders: not just a flaky pattern," Staff Reports 4, Federal Reserve Bank of New York. [Downloadable!]
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Spyros Skouras, 2001. "Decisionmetrics: A Decision-Based Approach to Econometric Modeling," Working Papers 01-11-064, Santa Fe Institute.
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  2. Christopher J. Neely, 2002. "The temporal pattern of trading rule returns and central bank intervention: intervention does not generate technical trading rule profits," Working Papers 2000-018, Federal Reserve Bank of St. Louis. [Downloadable!]
  3. Pu Shen, 2002. "Market timing strategies that worked," Research Working Paper RWP 02-01, Federal Reserve Bank of Kansas City. [Downloadable!]
  4. Rosario Dell'Aquila & Elvezio Ronchetti, 2004. "Robust tests of predictive accuracy," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 161-184. [Downloadable!]
  5. C.L. Dunis & Jason Laws & Ben Evans, 2006. "Trading futures spreads: an application of correlation and threshold filters," Applied Financial Economics, Taylor and Francis Journals, vol. 16(12), pages 903-914, August. [Downloadable!] (restricted)
  6. Marquering, W. & Verbeek, M., 2000. "The economic value of predicting stock index returns and volatility," Discussion Paper 78, Tilburg University, Center for Economic Research. [Downloadable!]
  7. Brian M. Lucey, 2004. "Robust estimates of daily seasonality in the Irish equity market," Applied Financial Economics, Taylor and Francis Journals, vol. 14(7), pages 517-523, April. [Downloadable!] (restricted)
  8. Aiolfi, Marco & Favero, Carlo A, 2003. "Model Uncertainty, Thick Modelling and the Predictability of Stock Returns," CEPR Discussion Papers 3997, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  9. Mark Grinblatt & Tobias Moskowitz, 1999. "The Cross Section of Expected Returns and its Relation to Past Returns: New Evidence," University of California at Los Angeles, Anderson Graduate School of Management 1100, Anderson Graduate School of Management, UCLA. [Downloadable!]
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  10. Christopher J. Neely & Paul A. Weller & Joshua M. Ulrich, 2007. "The adaptive markets hypothesis: evidence from the foreign exchange market," Working Papers 2006-046, Federal Reserve Bank of St. Louis. [Downloadable!]
  11. Giampiero M. Gallo & Yongmiao Hong & Tae-Why Lee, 2001. "Modelling the Impact of Overnight Surprises on Intra-daily Stock Returns," Econometrics Working Papers Archive wp2001_03, Universita' degli Studi di Firenze, Dipartimento di Statistica "G. Parenti". [Downloadable!]
  12. Peter Reinhard Hansen, 2001. "An Unbiased and Powerful Test for Superior Predictive Ability," Working Papers 2001-06, Brown University, Department of Economics. [Downloadable!]
  13. Foort Hamelink, 2001. "Nonlinear analysis for forecasting currencies: are they useful to the portfolio manager?," European Journal of Finance, Taylor and Francis Journals, vol. 7(4), pages 335-355, December. [Downloadable!] (restricted)
  14. Edwin D. Maberly & Daniel F. Waggoner, 2000. "Closing the question on the continuation of turn-of-the-month effects: evidence from the S&P 500 Index futures contract," Working Paper 2000-11, Federal Reserve Bank of Atlanta. [Downloadable!]
  15. Coe, P.J. & Pesaran, M.H. & Vahey, S.P., 2003. "Scope for Cost Minimization in Public Debt Management: the Case of the UK," Cambridge Working Papers in Economics 0338, Faculty of Economics, University of Cambridge. [Downloadable!]
  16. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers iewwp259, Institute for Empirical Research in Economics - IEW. [Downloadable!]
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  17. Lunde, Asger & Timmermann, Allan G, 2003. "Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets," CEPR Discussion Papers 4104, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  18. B. Carmichael & L. Samson, 2003. "Expected returns and economic risk in Canadian financial markets," Applied Financial Economics, Taylor and Francis Journals, vol. 13(3), pages 177-189, January. [Downloadable!] (restricted)
  19. Christopher J. Neely, 2001. "Risk-adjusted, ex ante, optimal technical trading rules in equity markets," Working Papers 1999-015, Federal Reserve Bank of St. Louis. [Downloadable!]
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  20. Coe, P. & Pesaran, M.H. & Vahey, S.P., 2000. "The Cost Efficiency of UK Debt Management: A Recursive Modelling Approach," Cambridge Working Papers in Economics 0005, Faculty of Economics, University of Cambridge. [Downloadable!]
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  21. R. Alton Gilbert & Andrew P. Meyer & Mark D. Vaughan, 2002. "Can feedback from the jumbo-CD market improve off-site surveillance of community banks?," Supervisory Policy Analysis Working Papers 2002-08, Federal Reserve Bank of St. Louis. [Downloadable!]
  22. M. A. H. Dempster & C. M. Jones, 2002. "Can channel pattern trading be profitably automated?," European Journal of Finance, Taylor and Francis Journals, vol. 8(3), pages 275-301, September. [Downloadable!] (restricted)
  23. Spyros Skouras, 1998. "Financial Returns and Efficiency as seen by an Artificial Technical Analyst," Finance 9808001, EconWPA, revised 24 Aug 1998. [Downloadable!]
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  24. Eric Ghysels & João Pereira, 2003. "On Portfolio Choice, Liquidity, and Short Selling: A Nonparametric Investigation," CIRANO Working Papers 2003s-27, CIRANO. [Downloadable!]
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