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Is liquidity wasted? The zero-returns on the Warsaw Stock Exchange

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  • Barbara Będowska-Sójka

    (Uniwersytet Ekonomiczny w Poznaniu)

Abstract

The purpose of our study is to examine the dynamics of various liquidity proxies around specific price formation within intraday data. We examine the behavior of the measures representing price impact, depth of the market, its width and elasticity around intraday zero-return observations. Our sample is based upon quotations of blue chip stocks listed on the Warsaw Stock Exchange, one of the European emerging markets. This paper identifies an incoherent behavior of liquidity measures from different dimensions around intraday zero-returns. Although the transaction costs are lower and zero return configurations seem to offer better liquidity, this potential is not exploited as the trading activity measures decrease. The stock market is characterized by high resiliency as the observed changes in liquidity measures are short-term.

Suggested Citation

  • Barbara Będowska-Sójka, 2021. "Is liquidity wasted? The zero-returns on the Warsaw Stock Exchange," Annals of Operations Research, Springer, vol. 297(1), pages 37-51, February.
  • Handle: RePEc:spr:annopr:v:297:y:2021:i:1:d:10.1007_s10479-020-03849-5
    DOI: 10.1007/s10479-020-03849-5
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    References listed on IDEAS

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    1. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    2. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    3. Boudt, Kris & Petitjean, Mikael, 2014. "Intraday liquidity dynamics and news releases around price jumps: Evidence from the DJIA stocks," Journal of Financial Markets, Elsevier, vol. 17(C), pages 121-149.
    4. Yakov Amihud & Haim Mendelson, 2015. "The Pricing of Illiquidity as a Characteristic and as Risk," Multinational Finance Journal, Multinational Finance Journal, vol. 19(3), pages 149-168, September.
    5. Bloomfield, Robert & O'Hara, Maureen & Saar, Gideon, 2005. "The "make or take" decision in an electronic market: Evidence on the evolution of liquidity," Journal of Financial Economics, Elsevier, vol. 75(1), pages 165-199, January.
    6. Barbara Bedowska-Sojka, 2017. "How Jumps Affect Liquidity? The Evidence from Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(1), pages 39-52, March.
    7. O. E. Barndorff-Nielsen & P. Reinhard Hansen & A. Lunde & N. Shephard, 2009. "Realized kernels in practice: trades and quotes," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 1-32, November.
    8. Edward W. Sun & Timm Kruse & Yi-Ting Chen, 2019. "Stylized algorithmic trading: satisfying the predictive near-term demand of liquidity," Annals of Operations Research, Springer, vol. 281(1), pages 315-347, October.
    9. Hanousek Jan & Kočenda Evžen & Novotný Jan, 2012. "The identification of price jumps," Monte Carlo Methods and Applications, De Gruyter, vol. 18(1), pages 53-77, January.
    10. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    11. Sanjiv Das & Paul Hanouna, 2010. "Run lengths and liquidity," Annals of Operations Research, Springer, vol. 176(1), pages 127-152, April.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    14. Large, Jeremy, 2007. "Measuring the resiliency of an electronic limit order book," Journal of Financial Markets, Elsevier, vol. 10(1), pages 1-25, February.
    15. Alexander Kempf & Daniel Mayston, 2008. "Liquidity Commonality Beyond Best Prices," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(1), pages 25-40, March.
    16. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    17. Boudt, Kris & Croux, Christophe & Laurent, Sébastien, 2011. "Robust estimation of intraweek periodicity in volatility and jump detection," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 353-367, March.
    18. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
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