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A likviditásnyújtás kereskedési stratégiájának hozamvizsgálata a magyar részvénypiacon
[Examining trade-strategy results of liquidity provision on the Hungarian stock market]

Author

Listed:
  • Neszveda, Gábor
  • Vágó, Ákos

Abstract

A tanulmányban kétféle megközelítéssel vizsgáljuk azt, hogy lehetett-e a likviditásnyújtás stratégiáját alkalmazva szignifikánsan pozitív hozamot elérni a magyar részvénypiacon. Az első esetben portfóliókat képezünk, a másodikban speciálisan a likviditásnyújtásra vonatkozó stratégiát vizsgálunk. Mindkét megközelítés lényege, hogy a rövid távon magas hozamú részvényeket eladni, a nagy veszteseket pedig megvenni érdemes. A likviditásnyújtás mindkét értelmezésével a nemzetközi irodalom alapján várt eredményt kapjuk. Likviditásszűkében csak magas hozam mellett valósul meg likviditásnyújtás, s ez még a kisebb magyar tőzsdén is statisztikailag szignifikáns eredményt ad. Journal of Economic Literature (JEL) kód: G11, G12.

Suggested Citation

  • Neszveda, Gábor & Vágó, Ákos, 2021. "A likviditásnyújtás kereskedési stratégiájának hozamvizsgálata a magyar részvénypiacon [Examining trade-strategy results of liquidity provision on the Hungarian stock market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 794-814.
  • Handle: RePEc:ksa:szemle:1984
    DOI: 10.18414/KSZ.2021.7-8.794
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    References listed on IDEAS

    as
    1. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    2. Hameed, Allaudeen & Mian, G. Mujtaba, 2015. "Industries and Stock Return Reversals," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(1-2), pages 89-117, April.
    3. Stefan Nagel, 2012. "Evaporating Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2005-2039.
    4. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    5. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    6. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
    7. Annaert, Jan & De Ceuster, Marc & Verstegen, Kurt, 2013. "Are extreme returns priced in the stock market? European evidence," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3401-3411.
    8. Neszveda, Gábor & Csillag, Balázs, 2020. "A gazdasági várakozások hatása a tőzsdei momentumstratégiára [The impact of economic expectations on the momentum trading strategy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1093-1111.
    9. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    10. Nartea, Gilbert V. & Kong, Dongmin & Wu, Ji, 2017. "Do extreme returns matter in emerging markets? Evidence from the Chinese stock market," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 189-197.
    11. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    12. Shumway, Tyler, 1997. "The Delisting Bias in CRSP Data," Journal of Finance, American Finance Association, vol. 52(1), pages 327-340, March.
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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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