IDEAS home Printed from https://ideas.repec.org/p/ags/cudawp/7225.html
   My bibliography  Save this paper

Price Behavior In Emerging Stock Markets: Cases Of Poland And Slovakia

Author

Listed:
  • Hranaiova, Jana

Abstract

This paper analyzes serial correlation in stock returns, and informational role of volume and volatility in Polish and Slovakian stock markets. Results indicate that prices tend to overshoot to new information in the Slovakian market, while new information gets impounded into prices with a one-day lag in the Polish market. In the context of feedback trading models, the Slovakian stock market seems to be dominated by traders who sell high and buy low, while stop-loss or distress selling type traders prevail in the Polish market. Traders became more sophisticated over time, as market efficiencies increased. Informational role of volume and volatility appears to be consistent with that found in developed stock markets.

Suggested Citation

  • Hranaiova, Jana, 1999. "Price Behavior In Emerging Stock Markets: Cases Of Poland And Slovakia," Working Papers 7225, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudawp:7225
    DOI: 10.22004/ag.econ.7225
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/7225/files/wp990017.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.7225?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    2. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    3. Harris, Lawrence, 1986. "Cross-Security Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(1), pages 39-46, March.
    4. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    5. Morse, Dale, 1980. "Asymmetrical Information in Securities Markets and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(5), pages 1129-1148, December.
    6. LeBaron, Blake, 1992. "Some Relations between Volatility and Serial Correlations in Stock Market Returns," The Journal of Business, University of Chicago Press, vol. 65(2), pages 199-219, April.
    7. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    8. repec:bla:jfinan:v:44:y:1989:i:5:p:1115-53 is not listed on IDEAS
    9. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gagnon, Louis & Karolyi, G. Andrew, 2009. "Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 953-986, August.
    2. David McMillan & Alan Speight, 2002. "Return-volume dynamics in UK futures," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 707-713.
    3. Wen-Ling Lin & Takatoshi Ito, 1994. "Price Volatility and Volume Spillovers between the Tokyo and New York Stock Markets," NBER Chapters, in: The Internationalization of Equity Markets, pages 309-343, National Bureau of Economic Research, Inc.
    4. Sam Howison & David Lamper, 2001. "Trading volume in models of financial derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 8(2), pages 119-135.
    5. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    6. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    7. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    8. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    9. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    10. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    11. Koutmos, Gregory, 1998. "Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 277-290, May.
    12. Anthony Murphy & Marwan Izzeldin, 2005. "Order Flow, Transaction Clock, and Normality of Asset Returns: A Comment on Ané and Geman (2000)," Finance 0512005, University Library of Munich, Germany.
    13. Ghysels, E. & Harvey, A. & Renault, E., 1995. "Stochastic Volatility," Papers 95.400, Toulouse - GREMAQ.
    14. Michael J. Fleming & Eli M. Remolona, 1996. "Price formation and liquidity in the U.S. treasuries market: evidence from intraday patterns around announcements," Research Paper 9633, Federal Reserve Bank of New York.
    15. Aragon, George O. & Dieckmann, Stephan, 2011. "Stock market trading activity and returns around milestones," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 570-584, September.
    16. Davidson, Wallace N. & Kim, Jin Kyoung & Ors, Evren & Szakmary, Andrew, 2001. "Using implied volatility on options to measure the relation between asset returns and variability," Journal of Banking & Finance, Elsevier, vol. 25(7), pages 1245-1269, July.
    17. Cathy W.S. Chen & Mike K.P. So & Thomas C. Chiang, 2016. "Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 96-124, March.
    18. Jiang Wang, 2002. "Trading Volume and Asset Prices," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 299-359, November.
    19. Xu, Xiaoqing Eleanor & Wu, Chunchi, 1999. "The intraday relation between return volatility, transactions, and volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 375-397, November.
    20. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.

    More about this item

    Keywords

    Financial Economics;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:cudawp:7225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dacorus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.