IDEAS home Printed from https://ideas.repec.org/e/pge120.html
   My authors  Follow this author

Bartosz T. Gebka

Personal Details

First Name:Bartosz
Middle Name:T.
Last Name:Gebka
Suffix:
RePEc Short-ID:pge120
[This author has chosen not to make the email address public]
https://www.ncl.ac.uk/business-school/staff/profile/bartoszgebka.html#publications

Affiliation

Business School
Newcastle University

Newcastle upon Tyne, United Kingdom
http://www.ncl.ac.uk/nubs/
RePEc:edi:bsncluk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bartosz Gębka & Dobromił Serwa, 2012. "Liquidity needs, private information, feedback trading: verifying motives to trade," NBP Working Papers 119, Narodowy Bank Polski.
  2. Gebka, Bartosz, 2006. "Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume," Working Paper Series 2006,1, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.

Articles

  1. Radi, Sherrihan & Gebka, Bartosz & Kallinterakis, Vasileios, 2024. "The wisdom of the madness of crowds: Investor herding, anti-herding, and stock-bond return correlation," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 966-995.
  2. Sze Nie Ung & Bartosz Gebka & Robert D. J. Anderson, 2024. "An enhanced investor sentiment index," The European Journal of Finance, Taylor & Francis Journals, vol. 30(8), pages 827-864, May.
  3. Gebka, Bartosz & Kanungo, Rama Prasad & Wildman, John, 2024. "The transition from COVID-19 infections to deaths: Do governance quality and corruption affect it?," Journal of Policy Modeling, Elsevier, vol. 46(2), pages 235-253.
  4. El Hajjar, Samah & Gebka, Bartosz & Duxbury, Darren & Su, Chen, 2024. "Does religiosity affect stock investors’ herding behaviour? Global evidence," Finance Research Letters, Elsevier, vol. 62(PA).
  5. Cui, Yueting & Gavriilidis, Konstantinos & Gebka, Bartosz & Kallinterakis, Vasileios, 2024. "Numerological superstitions and market-wide herding: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 93(C).
  6. Ung, Sze Nie & Gebka, Bartosz & Anderson, Robert D.J., 2023. "Is sentiment the solution to the risk–return puzzle? A (cautionary) note," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  7. 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.
  8. Andrikopoulos, Panagiotis & Gebka, Bartosz & Kallinterakis, Vasileios, 2021. "Regulatory mood-congruence and herding: Evidence from cannabis stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 842-864.
  9. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.
  10. Gebka, Bartosz, 2019. "Asymmetric price reactions to dividend announcements: Always irrational?," Economics Letters, Elsevier, vol. 185(C).
  11. Yang, Yunlin & Gebka, Bartosz & Hudson, Robert, 2019. "Momentum effects in China: A review of the literature and an empirical explanation of prevailing controversies," Research in International Business and Finance, Elsevier, vol. 47(C), pages 78-101.
  12. Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
  13. Sewraj, Deeya & Gebka, Bartosz & Anderson, Robert D.J., 2019. "Day-of-the-week effects in financial contagion," Finance Research Letters, Elsevier, vol. 28(C), pages 221-226.
  14. Sewraj, Deeya & Gebka, Bartosz & Anderson, Robert D.J., 2018. "Identifying contagion: A unifying approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 224-240.
  15. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
  16. Gu Pang & Bartosz Gebka, 2017. "Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2454-2469, May.
  17. Gębka, Bartosz & Korczak, Adriana & Korczak, Piotr & Traczykowski, Jędrzej, 2017. "Profitability of insider trading in Europe: A performance evaluation approach," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 66-90.
  18. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
  19. Gębka, Bartosz & Serwa, Dobromił, 2015. "The elusive nature of motives to trade: Evidence from international stock markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 147-157.
  20. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
  21. Bartosz Gębka, 2014. "Ownership structure, monitoring, and market value of companies: evidence from an unusual privatization mode," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(5), pages 586-610, September.
  22. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.
  23. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
  24. Gębka, Bartosz & Wohar, Mark E., 2013. "The determinants of quantile autocorrelations: Evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 51-61.
  25. Gebka, Bartosz & Wohar, Mark E., 2013. "Causality between trading volume and returns: Evidence from quantile regressions," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 144-159.
  26. Gębka, Bartosz & Wohar, Mark E., 2013. "International herding: Does it differ across sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 55-84.
  27. Bartosz Gębka & Michail Karoglou, 2013. "Is there life in the old dogs yet? Making break-tests work on financial contagion," Review of Quantitative Finance and Accounting, Springer, vol. 40(3), pages 485-507, April.
  28. Gębka, Bartosz & Karoglou, Michail, 2013. "Have the GIPSI settled down? Breaks and multivariate stochastic volatility models for, and not against, the European financial integration," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3639-3653.
  29. Bartosz Gębka, 2012. "The Dynamic Relation Between Returns, Trading Volume, And Volatility: Lessons From Spillovers Between Asia And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 65-90, January.
  30. Goodfellow, Christiane & Bohl, Martin T. & Gebka, Bartosz, 2009. "Together we invest? Individual and institutional investors' trading behaviour in Poland," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 212-221, September.
  31. Gebka, Bartosz, 2008. "Volume- and size-related lead-lag effects in stock returns and volatility: An empirical investigation of the Warsaw Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 134-155.
  32. Gebka, Bartosz & Serwa, Dobromil, 2007. "Intra- and inter-regional spillovers between emerging capital markets around the world," Research in International Business and Finance, Elsevier, vol. 21(2), pages 203-221, June.
  33. Gebka, Bartosz & Henke, Harald & Bohl, Martin T., 2006. "Institutional trading and stock return autocorrelation: Empirical evidence on Polish pension fund investors' behavior," Global Finance Journal, Elsevier, vol. 16(3), pages 233-244, March.
  34. Gebka, Bartosz & Serwa, Dobromil, 2006. "Are financial spillovers stable across regimes?: Evidence from the 1997 Asian crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 301-317, October.
    RePEc:taf:apfiec:v:15:y:2005:i:14:p:1019-1029 is not listed on IDEAS

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MST: Market Microstructure (1) 2012-07-23

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Bartosz T. Gebka should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can 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.