Staff Profile

Office hours (FEEDBACK, GUIDANCE AND CONSULTATION HOURS): 

By appointment only due to the COVID pandemic

Languages

Polish: native
German: fluent
Swedish: intermediate

Bibliographic links

Google Scholar: https://scholar.google.co.uk/citations?user=0oWCGIMAAAAJ

ResearchGate: https://www.researchgate.net/profile/Bartosz_Gebka/publications

ORCID ID: https://orcid.org/0000-0003-4510-0374

Scopus Author ID: 55945451000

I have taught on the following courses:

ECO1007: Statistical Methods for Economics

ECO1009: Analysing Economic Data

ECO2010: Economic Appraisal of Projects

ECO2015: Applied Economics

NBS8018: International Money and Banking 

NBS8200: Behavioural Finance

NBS8201: Risk Modelling

Research Interests

My research interests lie in the field of empirical finance, with a particular focus on capital market efficiency, the role of trading volume for asset pricing, the impact of institutional investors on stock market behaviour, emerging markets, and international finance. I am also interested in the macroeconomic determinants of international financial contagion as well as the outcomes of privatisation in the transition economies.

PhD students

I welcome queries from prospective doctoral students, I would be happy to supervise empirical projects in one of my research areas and beyond, for instance:

• Market efficiency 
• Investor herding
• Investor sentiment
• Technical trading 
• Financial integration and contagion

• Articles

  • Ung SN, Gebka B, Anderson RDJ. Is Sentiment the Solution to the Risk-Return Puzzle? A (Cautionary) Note. Journal of Behavioral and Experimental Finance 2023, 37, 100787.
  • El Hajjar S, Gebka B, Duxbury D, Su C. A behavioral appraisal of regulatory financial reforms and implications for corporate management. British Journal of Management 2023. In Press.
  • Economou F, Gavriilidis K, Gebka G, Kallinterakis V. Feedback trading: A review of theory and empirical evidence. Review of Behavioral Finance 2022, Epub ahead of print.
  • Andrikopoulos P, Gebka B, Kallinterakis V. Regulatory mood-congruence and herding: evidence from cannabis stocks. Journal of Economic Behavior & Organization 2021, 185, 842-864.
  • Gebka B, Wohar M. Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index. International Review of Economics and Finance 2019, 60, 1-25.
  • Yang Y, Gebka B, Hudson R. Momentum effects in China: A review of the literature and an empirical explanation of prevailing controversies. Research in International Business and Finance 2019, 47, 78-101.
  • Cui Y, Gebka B, Kallinterakis V. Do closed-end fund investors herd?. Journal of Banking and Finance 2019, 105, 194-206.
  • Sewraj D, Gebka B, Anderson RDJ. Day-of-the-Week Effects in Financial Contagion. Finance Research Letters 2019, 28, 221-226.
  • Gebka B. Asymmetric Price Reactions to Dividend Announcements: Always Irrational?. Economics Letters 2019, 185, 108713.
  • Gebka B, Wohar M. The predictive power of the yield spread for future economic expansions: Evidence from a new approach. Economic Modelling 2018, 75, 181-195.
  • Sewraj D, Gebka B, Anderson RDJ. Identifying Contagion: A Unifying Approach. Journal of International Financial Markets, Institutions and Money 2018, 55, 224-240.
  • Gebka B, Korczak A, Korczak P, Traczykowski J. Profitability of insider trading in Europe: A performance evaluation approach. Journal of Empirical Finance 2017, 44, 66-90.
  • Pang G, Gebka B. Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia. International Journal of Production Research 2017, 55(9), 2454-2469.
  • Gebka B, Serwa D. The elusive nature of motives to trade: Evidence from international stock markets. International Review of Financial Analysis 2015, 39, 147-157.
  • Gebka B, Hudson RS, Atanasova CV. The Benefits of Combining Seasonal Anomalies and Technical Trading Rules. Finance Research Letters 2015, 14, 36-44.
  • Urquhart A, Gebka B, Hudson R. How Exactly Do Markets Adapt? Evidence from the Moving Average Rule in Three Developed Markets. Journal of International Financial Markets, Institutions and Money 2015, 38, 127-147.
  • Papagiannidis S, Gebka B, Gertner D, Stahl F. Diffusion of web technologies and practices: A longitudinal study. Technological Forecasting and Social Change 2015, 96, 308-321.
  • Gebka B. Psychological determinants of university students’ academic performance: An empirical study. Journal of Further and Higher Education 2014, 38(6), 813-837.
  • Gebka B. Ownership structure, monitoring, and market value of companies: evidence from an unusual privatization mode. International Review of Applied Economics 2014, 28(5), 586-610.
  • Manahov V, Hudson R, Gebka B. Does high frequency trading affect technical analysis and market efficiency? And if so, how?. Journal of International Financial Markets, Institutions and Money 2014, 28, 131-157.
  • Gebka B, Wohar M. The determinants of quantile autocorrelations: Evidence from the UK. International Review of Financial Analysis 2013, 29, 51-61.
  • Gebka B, Karoglou M. Is there life in the old dogs yet? Making break-tests work on financial contagion. Review of Quantitative Finance and Accounting 2013, 40(3), 485-507.
  • Gebka B, Wohar M. International herding: Does it differ across sectors?. Journal of International Financial Markets, Institutions and Money 2013, 23, 55-84.
  • Gebka B, Karoglou M. Have the GIPSI settled down? Breaks and multivariate stochastic volatility models for, and not against, the European financial integration. Journal of Banking & Finance 2013, 37(9), 3639-3653.
  • Gebka B, Wohar M. Causality Between Trading Volume and Returns: Evidence From Quantile Regressions. International Review of Economics and Finance 2013, 27, 144-159.
  • Gebka B. The Dynamic Relation Between Returns, Trading Volume, and Volatility: Lessons from Spillovers Between Asia and the United States. Bulletin of Economic Research 2012, 64(1), 65-90.
  • Amini S, Gebka B, Hudson R, Keasey K. 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 2012, 26, 1-17.
  • Gebka B, Goodfellow C, Bohl MT. Together We Invest? Individual and Institutional Investors’ Trading Behaviour in Poland. International Review of Financial Analysis 2009, 18(4), 212-221.
  • Gebka B. 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 2008, 17(1), 134-155.
  • Gebka B, Serwa D. Intra- and inter-regional spillovers between emerging capital markets around the world. Research in International Business and Finance 2007, 21(2), 203-221.
  • Gebka B, Henke H, Bohl M. Institutional trading and stock return autocorrelation: Empirical evidence on Polish pension fund investors’ behavior. Global Finance Journal 2006, 16(3), 233-244.
  • Gebka B, Serwa D. Are financial spillovers stable across regimes?: Evidence from the 1997 Asian crisis. Journal of International Financial Markets, Institutions and Money 2006, 16(4), 301-317.
  • Gebka B. Dynamic volume–return relationship: evidence from an emerging capital market. Applied Financial Economics 2005, 15(14), 1019-1029.

• Book Chapters

  • Gebka B. The Non-Linear and Linear Impact of Investor Sentiment on Stock Returns: An Empirical Analysis of the US Market. In: Ma, J., Wohar, M, ed. Recent Advances in Estimating Nonlinear Models: With Applications In Economics and Finance. New York: Springer, 2014, pp.281-299.
  • Gebka B. Do Tigers Care about Dragons? Spillovers in Returns and Volitility between Chinese Stock Markets. In: Gregoriou, GN, ed. Stock Market Volatility. London, UK: Chapman & Hall, 2009, pp.457-482.