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A Moving Average Comparison of the Tel-Aviv 25 and S&P 500 Stock Indices

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  • Yochanan Shachmurove
  • Uri BenZion
  • Paul Klein
  • Joseph Yagil

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  • Yochanan Shachmurove & Uri BenZion & Paul Klein & Joseph Yagil, 2001. "A Moving Average Comparison of the Tel-Aviv 25 and S&P 500 Stock Indices," Penn CARESS Working Papers 4731f3394c43bebf4d3191c81, Penn Economics Department.
  • Handle: RePEc:cla:penntw:4731f3394c43bebf4d3191c81d15e9f0
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    File URL: http://www.econ.upenn.edu/Centers/CARESS/CARESSpdf/01-17.pdf
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    1. P.H. Kevin Chang & Carol L. Osler, 1994. "Evaluating chart-based technical analysis: the head-and-shoulder pattern in foreign exchange," Research Paper 9414, Federal Reserve Bank of New York.
    2. Cadsby, Charles Bram & Ratner, Mitchell, 1992. "Turn-of-month and pre-holiday effects on stock returns: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 16(3), pages 497-509, June.
    3. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    4. Lo, Andrew W. & Mackinlay, A. Craig, 1997. "Maximizing Predictability In The Stock And Bond Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 1(1), pages 102-134, January.
    5. Christopher J. Neely, 1998. "Technical analysis and the profitability of U.S. foreign exchange intervention," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 3-17.
    6. Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 405-426, December.
    7. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1770, August.
    8. Bruce D. Grundy & J. Spencer Martin, "undated". "Understanding the Nature of the Risks and the Source of Rewards to Momentum Investing," Rodney L. White Center for Financial Research Working Papers 13-98, Wharton School Rodney L. White Center for Financial Research.
    9. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    10. Gencay, Ramazan, 1998. "The predictability of security returns with simple technical trading rules," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 347-359, October.
    11. Gencay Ramazan & Stengos Thanasis, 1997. "Technical Trading Rules and the Size of the Risk Premium in Security Returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(2), pages 1-14, July.
    12. Antonios Antoniou & Nuray Ergul & Phil Holmes, 1997. "Market Efficiency, Thin Trading and Non‐linear Behaviour: Evidence from an Emerging Market," European Financial Management, European Financial Management Association, vol. 3(2), pages 175-190, July.
    13. Mark J Ready, 2002. "Profits from Technical Trading Rules," Financial Management, Financial Management Association, vol. 31(3), Fall.
    14. Neely, Christopher J. & Weller, Paul A., 1999. "Technical trading rules in the European Monetary System," Journal of International Money and Finance, Elsevier, vol. 18(3), pages 429-458.
    15. Massimo Annesi & G. Ruffolo & S. D'Antoni & G. Macciotta & C. Pace & C. Sacchi & M. Sai & B. Solaroli & M. Baldassarri & N. Novacco, 1998. "Interventi," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 2, pages 399-450.
    16. P.H. Kevin Chang & Carol L. Osler, 1995. "Head and shoulders: not just a flaky pattern," Staff Reports 4, Federal Reserve Bank of New York.
    17. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    18. Sweeney, Richard J., 1988. "Some New Filter Rule Tests: Methods and Results," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 285-300, September.
    19. Isakov, D. & Hollistein, M., 1998. "Application of Simple Technical Trading Rules to Swiss Stock Prices: Is It Profitable?," Papers 98.2, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.
    20. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    21. repec:cup:macdyn:v:1:y:1997:i:1:p:102-34 is not listed on IDEAS
    22. Alan Goodacre & Tessa Kohn-Speyer, 2001. "CRISMA revisited," Applied Financial Economics, Taylor & Francis Journals, vol. 11(2), pages 221-230.
    23. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    24. Szakmary, Andrew & Davidson, Wallace N, III & Schwarz, Thomas V, 1999. "Filter Tests in Nasdaq Stocks," The Financial Review, Eastern Finance Association, vol. 34(1), pages 45-70, February.
    25. Bessembinder, Hendrik & Chan, Kalok, 1995. "The profitability of technical trading rules in the Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 257-284, July.
    26. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    27. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    28. Aggarwal, Reena & Rivoli, Pietra, 1989. "Seasonal and Day-of-the-Week Effects in Four Emerging Stock Markets," The Financial Review, Eastern Finance Association, vol. 24(4), pages 541-550, November.
    29. K. Geert Rouwenhorst, 1998. "International Momentum Strategies," Journal of Finance, American Finance Association, vol. 53(1), pages 267-284, February.
    30. Allen, Franklin & Karjalainen, Risto, 1999. "Using genetic algorithms to find technical trading rules," Journal of Financial Economics, Elsevier, vol. 51(2), pages 245-271, February.
    31. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    32. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    33. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    34. Ojah, Kalu & Karemera, David, 1999. "Random Walks and Market Efficiency Tests of Latin American Emerging Equity Markets: A Revisit," The Financial Review, Eastern Finance Association, vol. 34(2), pages 57-72, May.
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    Cited by:

    1. S. G. M. Fifield & D. M. Power & D. G. S. Knipe, 2008. "The performance of moving average rules in emerging stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(19), pages 1515-1532.

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