IDEAS home Printed from https://ideas.repec.org/a/agh/journl/v18y2017i1p87-102.html
   My bibliography  Save this article

Trading volume and volatility patterns across selected Central European stock markets from microstructural perspective

Author

Listed:
  • Henryk Gurgul

    (AGH University of Science and Technology in Krakow, Faculty of Management, Department of Applications of Mathematics in Economics)

  • Robert Syrek

    (Jagiellonian University in Krakow, Institute of Economics, Finance and Management)

Abstract

In this paper, the intraday patterns of trading volumes and volatilities as well as autocorrelations are investigated using high-frequency data. The analysis is performed for companies listed in the main German, Austrian, and Polish indices with the aid of Flexible Fourier Form regression. We have found some similarities to prior investigations in light of stylized facts about intraday patterns. We noted the differences in intraday patterns and autocorrelations across markets, which depend on the maturity level of the market. The most-regular patterns are observed for DAX companies. Additionally, using day-of-the-week dummies, we discover some peaks that can be associated with macroeconomic announcements in Germany and the US. This leads to conclusions that the day of the week and announcements should be taken into account in modeling volatilities (returns) and volumes from high-frequency data.

Suggested Citation

  • Henryk Gurgul & Robert Syrek, 2017. "Trading volume and volatility patterns across selected Central European stock markets from microstructural perspective," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 18(1), pages 87-102.
    • Handle: RePEc:agh:journl:v:18:y:2017:i:1:p:87-102
    as

    Download full text from publisher

    File URL: https://journals.agh.edu.pl/manage/article/view/2662/1799
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wood, Robert A, 2000. "Market Microstructure Research Databases: History and Projections," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(2), pages 140-145, April.
    2. Lockwood, Larry J & Linn, Scott C, 1990. "An Examination of Stock Market Return Volatility during Overnight and Intraday Periods, 1964-1989," Journal of Finance, American Finance Association, vol. 45(2), pages 591-601, June.
    3. A. Abhyankar & D. Ghosh & E. Levin & R.J. Limmack, 1997. "Bid‐ask Spreads, Trading Volume and Volatility: Intra‐day Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 343-362, April.
    4. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    5. M. Buckle & O. Ap Gwilym & S.H. Thomas & M.S. Woodhams, 1998. "Intraday Empirical Regularities in Interest Rate and Equity Index Futures Markets, and the Effect of Macroeconomic Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(7‐8), pages 921-944, September.
    6. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2012. "Return and Volatility Spillovers between Japanese and Chinese Stock Markets FAn Analysis of Overlapping Trading Hours with High-frequency Data," Discussion Papers in Economics and Business 12-01, Osaka University, Graduate School of Economics.
    7. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    8. Gary Tian & Mingyuan Guo, 2007. "Interday and intraday volatility: Additional evidence from the Shanghai Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 28(3), pages 287-306, April.
    9. M. Buckle & O. Ap Gwilym & S.H. Thomas & M.S. Woodhams, 1998. "Intraday Empirical Regularities in Interest Rate and Equity Index Futures Markets, and the Effect of Macroeconomic Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(7‐8), pages 921-944, September.
    10. James Eaves & Jeffrey Williams, 2010. "Are Intraday Volume and Volatility U-Shaped After Accounting for Public Information?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 212-227.
    11. Frédéric Abergel & Anirban Chakraborti & B.K. Chakrabarti & Asim Ghosh, 2013. "Econophysics of systemic risk and network dynamics," Post-Print hal-00872397, HAL.
    12. Chan, K C & Christie, William G & Schultz, Paul H, 1995. "Market Structure and the Intraday Pattern of Bid-Ask Spreads for NASDAQ Securities," The Journal of Business, University of Chicago Press, vol. 68(1), pages 35-60, January.
    13. Helin� Laakkonen, 2014. "Exchange rate volatility, macroeconomic announcements and the choice of intraday periodicity filtering method," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2093-2104, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steffen Volkenand & Günther Filler & Martin Odening, 2020. "Price Discovery and Market Reflexivity in Agricultural Futures Contracts with Different Maturities," Risks, MDPI, vol. 8(3), pages 1-17, July.
    2. Richards, Daniel W. & Willows, Gizelle D., 2019. "Monday mornings: Individual investor trading on days of the week and times within a day," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 105-115.
    3. Anastasios Demertzidis, 2019. "Interbank transactions on the intraday frequency: -Different market states and the effects of the financial crisis-," MAGKS Papers on Economics 201932, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    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. Kentaro Iwatsubo & Clinton Watkins & Tao Xu, 2017. "Intraday Seasonality in Efficiency, Liquidity, Volatility and Volume: Platinum and Gold Futures in Tokyo and New York," Discussion Papers 1715, Graduate School of Economics, Kobe University.
    2. Iwatsubo, Kentaro & Watkins, Clinton & Xu, Tao, 2018. "Intraday seasonality in efficiency, liquidity, volatility and volume: Platinum and gold futures in Tokyo and New York," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 59-71.
    3. Dan Gabriel ANGHEL & Elena Valentina ŢILICĂ & Victor DRAGOTĂ, 2020. "Intraday Patterns in Returns on the Romanian and Bulgarian Stock Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 92-114, July.
    4. Chelley-Steeley, Patricia & Park, Keebong, 2011. "Intraday patterns in London listed Exchange Traded Funds," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 244-251.
    5. Sobhesh Kumar Agarwalla & Ajay Pandey, 2013. "Expiration‐Day Effects and the Impact of Short Trading Breaks on Intraday Volatility: Evidence from the Indian Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1046-1070, November.
    6. Fan, Yu-Ju & Lai, Hung-Neng, 2006. "The intraday effect and the extension of trading hours for Taiwanese securities," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 328-347.
    7. Brockman, Paul & Chung, Dennis Y., 1998. "Inter- and intra-day liquidity patterns on the Stock Exchange of Hong Kong," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 277-298, December.
    8. Panayi, Efstathios & Peters, Gareth W. & Danielsson, Jon & Zigrand, Jean-Pierre, 2018. "Designating market maker behaviour in limit order book markets," Econometrics and Statistics, Elsevier, vol. 5(C), pages 20-44.
    9. R. Baupain & A. Durre, 2007. "The interday and intraday patterns of the overnight market : evidence from an electronic platform," Post-Print hal-00300195, HAL.
    10. Köksal, Bülent, 2012. "An Analysis of Intraday Patterns and Liquidity on the Istanbul Stock Exchange," MPRA Paper 35968, University Library of Munich, Germany.
    11. Joao Dionisio Monteiro & Jose Luis Miralles-Quiros & Jose Ramos Pires Manso, 2018. "Is There Seasonality in Traded and Non-Traded Period Returns in the US Equity Market? A Multiple Structural Change Approach," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(1), pages 71-98, February.
    12. Chia-Ching Chang & Sheng-Syan Chen & Robin Chou & Chin-Wen Hsin, 2011. "Intraday return spillovers and its variations across trading sessions," Review of Quantitative Finance and Accounting, Springer, vol. 36(3), pages 355-390, April.
    13. Kee H. Chung & Xin Zhao, 2003. "Intraday Variation in the Bid‐Ask Spread: Evidence after the Market Reform," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(2), pages 191-206, June.
    14. He, Yan & Wang, Junbo & Wu, Chunchi, 2013. "Domestic versus foreign equity shares: Which are more costly to trade in the Chinese market?," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 465-481.
    15. Dirk Schiereck & Christian Voigt, 2010. "With or without you: market quality of floor trading when screen trading closes early," Review of Quantitative Finance and Accounting, Springer, vol. 34(2), pages 179-197, February.
    16. Shimeng Shi & Yukun Shi, 2021. "Bitcoin futures: trade it or ban it?," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 381-396, March.
    17. Kang, Sang Hoon & Yoon, Seong-Min, 2008. "Long memory features in the high frequency data of the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5189-5196.
    18. Koopman, S.J.M. & Lai, H.N., 1998. "Modelling bid-ask spreads in competitive dealership markets," Other publications TiSEM 7a193911-dbf2-4831-ac8d-9, Tilburg University, School of Economics and Management.
    19. Ben Ammar, Imen & Hellara, Slaheddine & Ghadhab, Imen, 2020. "High-frequency trading and stock liquidity: An intraday analysis," Research in International Business and Finance, Elsevier, vol. 53(C).
    20. Bildik, Recep, 2001. "Intra-day seasonalities on stock returns: evidence from the Turkish Stock Market," Emerging Markets Review, Elsevier, vol. 2(4), pages 387-417, December.

    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:agh:journl:v:18:y:2017:i:1:p:87-102. 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: Lukasz Lach (email available below). General contact details of provider: https://edirc.repec.org/data/wzaghpl.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.