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Profitability of Technical Trading Rules on the Baltic Stock Markets

Author

Listed:
  • Lönnbark, Carl

    (Department of Economics, Umeå University)

  • Soultanaeva, Albina

    (Department of Economics, Umeå University)

Abstract

In this note we study whether simple technical trading rules are profitable on the three Baltic stock markets. To statistically assess our findings we consider the conventional t-test and a block-bootstrap procedure. The two evaluation methods give conflicting results. The t-test supports some of the rules, while the block-bootstrap does not.

Suggested Citation

  • Lönnbark, Carl & Soultanaeva, Albina, 2009. "Profitability of Technical Trading Rules on the Baltic Stock Markets," Umeå Economic Studies 761, Umeå University, Department of Economics.
  • Handle: RePEc:hhs:umnees:0761
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    References listed on IDEAS

    as
    1. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.
    2. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
    3. 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.
    4. Parisi, Franco & Vasquez, Alejandra, 2000. "Simple technical trading rules of stock returns: evidence from 1987 to 1998 in Chile," Emerging Markets Review, Elsevier, vol. 1(2), pages 152-164, September.
    5. Bokhari, Jawaad & Cai, Charlie & Hudson, Robert & Keasey, Kevin, 2005. "The predictive ability and profitability of technical trading rules: does company size matter?," Economics Letters, Elsevier, vol. 86(1), pages 21-27, January.
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    More about this item

    Keywords

    Baltic stock markets; technical trading rules; block bootstrap;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

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