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Bartosz T. Gebka

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. 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.

    Cited by:

    1. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006/04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    2. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz Piotr, 2006. "Political Orientation of Government and Stock Market Returns," Working Paper Series 2006,9, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.

Articles

  1. 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.

    Cited by:

    1. Yao, Jing & Yang, Yiwen, 2023. "Risk-return tradeoff and serial correlation in the Chinese stock market: A bailout-driven crash feedback hypothesis," Economic Modelling, Elsevier, vol. 129(C).
    2. Ngene, Geoffrey M. & Wang, Jinghua, 2024. "Arbitrage opportunities and feedback trading in regulated bitcoin futures market: An intraday analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 743-761.
    3. Paramita Mukherjee & Rajashri Chatterjee, 2024. "Feedback Trading and Its Implications for Return Autocorrelations in India During COVID," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 23(2), pages 246-270, June.

  2. 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.

    Cited by:

    1. Chen, Feilong & Choi, Sungchul & Fu, Chengbo & Nycholat, Joshua, 2021. "Too high to get it right: The effect of cannabis legalization on the performance of cannabis-related stocks," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 715-734.
    2. 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).
    3. Alexakis, Christos & Chantziaras, Antonios & Economou, Fotini & Eleftheriou, Konstantinos & Grose, Christos, 2023. "Animal Behavior in Capital markets: Herding formation dynamics, trading volume, and the role of COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    4. 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.
    5. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
    6. Goodell, John W. & Kumar, Satish & Rao, Purnima & Verma, Shubhangi, 2023. "Emotions and stock market anomalies: A systematic review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

  3. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.

    Cited by:

    1. 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).
    2. Briola, Antonio & Vidal-Tomás, David & Wang, Yuanrong & Aste, Tomaso, 2023. "Anatomy of a Stablecoin’s failure: The Terra-Luna case," Finance Research Letters, Elsevier, vol. 51(C).
    3. Guo, Xu & Gu, Chen & Zebedee, Allan A. & Chiu, Li-ting, 2024. "The effect of institutional herding on stock prices: The differentiating role of credit ratings," Journal of Banking & Finance, Elsevier, vol. 163(C).
    4. Igor Kravchuk, 2019. "Management of Investment Funds Financial Fragility," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 17-32.
    5. Alexakis, Christos & Chantziaras, Antonios & Economou, Fotini & Eleftheriou, Konstantinos & Grose, Christos, 2023. "Animal Behavior in Capital markets: Herding formation dynamics, trading volume, and the role of COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    6. Huyen Phuong Do & Bich Ngoc Do & Tra My Nguyen & Thinh Vu Duy, 2021. "Arbitrage with Exchange-traded Funds: A Case of E1VFVN30 Based on Intraday Data," Economic Research Guardian, Weissberg Publishing, vol. 11(1), pages 130-143, June.
    7. Lu, Shuai & Li, Shouwei & Zhou, Wei & Yang, Wenke, 2022. "Network herding of energy funds in the post-Carbon-Peak Policy era: Does it benefit profitability and stability?," Energy Economics, Elsevier, vol. 109(C).
    8. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    9. Wanidwaranan, Phasin & Padungsaksawasdi, Chaiyuth, 2022. "Unintentional herd behavior via the Google search volume index in international equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    10. Wang, Hu & Li, Shouwei & Ma, Yuyin, 2021. "Herding in Open-end Funds: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    11. 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.
    12. Lu, Shuai & Li, Shouwei, 2023. "Is institutional herding efficient? Evidence from an investment efficiency and informational network perspective," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    13. Liang Wang & Yuanfei Wang & Bixiao Li, 2023. "The influence of the social networks of fund managers on the herding behavior of SIFs in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    14. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
    15. Antonio Briola & David Vidal-Tom'as & Yuanrong Wang & Tomaso Aste, 2022. "Anatomy of a Stablecoin's failure: the Terra-Luna case," Papers 2207.13914, arXiv.org, revised Sep 2022.
    16. 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).
    17. Ryuichi Nakagawa, 2022. "Bank herding in loan markets: Evidence from geographical data in Japan," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 72-89, March.
    18. Cheng, Tingting & Xing, Shuo & Yao, Wenying, 2022. "An examination of herding behaviour of the Chinese mutual funds: A time-varying perspective," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    19. Lu, Shuai & Li, Shouwei & Chen, Ning, 2022. "Robust return efficiency and herding behavior of fund managers," Finance Research Letters, Elsevier, vol. 46(PA).

  4. Gebka, Bartosz, 2019. "Asymmetric price reactions to dividend announcements: Always irrational?," Economics Letters, Elsevier, vol. 185(C).

    Cited by:

    1. Fakhrul Hasan & Umar Nawaz Kayani & Tonmoy Choudhury, 2023. "Behavioral Risk Preferences and Dividend Changes: Exploring the Linkages with Prospect Theory Through Empirical Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 517-535, December.
    2. Bakó, Barna & Neszveda, Gábor, 2024. "An aspirational perspective on the negative risk-return relationship," Finance Research Letters, Elsevier, vol. 61(C).

  5. 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.

    Cited by:

    1. Zhang, Zhehao & Xing, Ruina & Liu, Jiajun & Shao, Yifei, 2023. "Correlation-based investment strategies: A comparison between Chinese and US stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    2. Li, Bo & Liu, Zhenya & Teka, Hanen & Wang, Shixuan, 2023. "The evolvement of momentum effects in China: Evidence from functional data analysis," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Simarjeet Singh & Nidhi Walia, 2022. "Momentum investing: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 72(1), pages 87-113, February.
    4. Yin, Libo & Wei, Ya & Han, Liyan, 2020. "Firms' profit instability and the cross-section of stock returns: Evidence from China," Research in International Business and Finance, Elsevier, vol. 53(C).
    5. Yin, Libo & Yang, Zhichen, 2022. "The profitability effect: Insight from a dynamic perspective," International Review of Financial Analysis, Elsevier, vol. 80(C).
    6. Wang, Nianling & Zhang, Mingzhi & Zhang, Yuan, 2024. "Return prediction: A tree-based conditional sort approach with firm characteristics," Finance Research Letters, Elsevier, vol. 60(C).
    7. Zhang, Wei & Wang, Pengfei & Li, Yi, 2020. "Intraday momentum in Chinese commodity futures markets," Research in International Business and Finance, Elsevier, vol. 54(C).
    8. Liu, Chenye & Wu, Ying & Zhu, Dongming, 2022. "Price overreaction to up-limit events and revised momentum strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 114(C).
    9. Xiong, Tao & Wang, Peng, 2023. "Institutional ownership and momentum in the Chinese A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

  6. 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.

    Cited by:

    1. Shixuan Wang & Rangan Gupta & Yue-Jun Zhang, 2020. "Bear, Bull, Sidewalk, and Crash: The Evolution of the US Stock Market Using Over a Century of Daily Data," Working Papers 202097, University of Pretoria, Department of Economics.
    2. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2022. "Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data," Energies, MDPI, vol. 15(22), pages 1-26, November.
    3. Okorie, David Iheke & Lin, Boqiang, 2020. "Did China’s ICO ban alter the Bitcoin market?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 977-993.
    4. Rangan Gupta & Christian Pierdzioch, 2023. "Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    5. Yu, Jing-Rung & Paul Chiou, Wan-Jiun & Lee, Wen-Yi & Lin, Shun-Ji, 2020. "Portfolio models with return forecasting and transaction costs," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 118-130.

  7. 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.

    Cited by:

    1. Handika, Rangga & Soepriyanto, Gatot & Havidz, Shinta Amalina Hazrati, 2019. "Are cryptocurrencies contagious to Asian financial markets?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 416-429.
    2. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    3. Elena Valentina Țilică, 2021. "Financial Contagion Patterns in Individual Economic Sectors. The Day-of-the-Week Effect from the Polish, Russian and Romanian Markets," JRFM, MDPI, vol. 14(9), pages 1-28, September.
    4. Elena Valentina Tilica, 2021. "Domestic and Foreign Transmission of the Global Financial Crisis in the Real Economy. The Polish Situation," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 13(1), pages 47-60, June.

  8. 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.

    Cited by:

    1. Dungey, Mardi & Flavin, Thomas J. & Lagoa-Varela, Dolores, 2020. "Are banking shocks contagious? Evidence from the eurozone," Journal of Banking & Finance, Elsevier, vol. 112(C).
    2. Ahmed BenSaïda & Houda Litimi, 2021. "Financial contagion across G10 stock markets: A study during major crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4798-4821, July.
    3. Patel, Ritesh & Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Yarovaya, Larisa, 2022. "A bibliometric review of financial market integration literature," International Review of Financial Analysis, Elsevier, vol. 80(C).
    4. Moses Kangogo & Mardi Dungey & Vladimir Volkov, 2023. "Changing vulnerability in Asia: contagion and spillovers," Empirical Economics, Springer, vol. 64(5), pages 2315-2355, May.
    5. Campos-Martins, Susana & Amado, Cristina, 2022. "Financial market linkages and the sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 123(C).
    6. Chen, Jing & Han, Qian & Ryu, Doojin & Tang, Jing, 2022. "Does the world smile together? A network analysis of global index option implied volatilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    7. Dungey, Mardi & Kangogo, Moses & Volkov, Vladimir, 2019. "Changing Vulnerability in Asia: Contagion and Systemic Risk," ADB Economics Working Paper Series 583, Asian Development Bank.
    8. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    9. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
    10. Mensi, Walid & Nekhili, Ramzi & Vo, Xuan Vinh & Suleman, Tahir & Kang, Sang Hoon, 2021. "Asymmetric volatility connectedness among U.S. stock sectors," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    11. Hui, Eddie C.M. & Chan, Ka Kwan Kevin, 2019. "Alternative trading strategies to beat “buy-and-hold”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    12. Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin, 2018. "Heterogeneous dependence and dynamic hedging between sectors of BRIC and global markets," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 117-133.
    13. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2022. "Asymmetric risk transfer in global equity markets: An extended sample that includes the COVID pandemic period," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).

  9. 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.

    Cited by:

    1. Riza Demirer & Rangan Gupta & Asli Yuksel & Aydin Yuksel, 2020. "The U.S. Term Structure and Return Volatility in Global REIT Markets," Working Papers 202069, University of Pretoria, Department of Economics.
    2. Mirko Abbritti & Juan Equiza & Antonio Moreno & Tommaso Trani, 2024. "Downturns and changes in the yield slope," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 673-701, April.
    3. Riza Demirer & Asli Yuksel & Aydin Yuksel, 2020. "The U.S. term structure and return volatility in emerging stock markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 687-707, October.
    4. Yutaka Kurihara & Akio Fukushima, 2019. "AR Model or Machine Learning for Forecasting GDP and Consumer Price for G7 Countries," Applied Economics and Finance, Redfame publishing, vol. 6(3), pages 1-6, May.
    5. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2021. "The day-of-the-week-effect on the volatility of commodities," Resources Policy, Elsevier, vol. 71(C).
    6. Saeed, Momna & Elnahass, Marwa & Izzeldin, Marwan & Tsionas, Mike, 2021. "Yield spread determinants of sukuk and conventional bonds," Economic Modelling, Elsevier, vol. 105(C).
    7. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).
    8. Idilbi-Bayaa, Yasmeen & Qadan, Mahmoud, 2022. "What the current yield curve says, and what the future prices of energy do," Resources Policy, Elsevier, vol. 75(C).

  10. 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.

    Cited by:

    1. Francesco Parola & Giovanni Satta & Theo Notteboom & Luca Persico, 2021. "Revisiting traffic forecasting by port authorities in the context of port planning and development," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 444-494, September.
    2. Jin, Jiahuan & Ma, Mingyu & Jin, Huan & Cui, Tianxiang & Bai, Ruibin, 2023. "Container terminal daily gate in and gate out forecasting using machine learning methods," Transport Policy, Elsevier, vol. 132(C), pages 163-174.
    3. Anqiang Huang & Kin Keung Lai & Han Qiao & Shouyang Wang & Zhenji Zhang, 2018. "Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 467-483, March.
    4. Christoph Martius & Lutz Kretschmann & Miriam Zacharias & Carlos Jahn & Ole John, 2022. "Forecasting worldwide empty container availability with machine learning techniques," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-24, December.
    5. M. Milenković & N. Milosavljevic & N. Bojović & S. Val, 2021. "Container flow forecasting through neural networks based on metaheuristics," Operational Research, Springer, vol. 21(2), pages 965-997, June.
    6. Feng, Hongxiang & Grifoll, Manel & Zheng, Pengjun, 2019. "From a feeder port to a hub port: The evolution pathways, dynamics and perspectives of Ningbo-Zhoushan port (China)," Transport Policy, Elsevier, vol. 76(C), pages 21-35.

  11. 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.

    Cited by:

    1. Styliani Panetsidou & Angelos Synapis & Ioannis Tsalavoutas, 2022. "Price run-ups and insider trading laws under different regulatory environments," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 601-639, August.
    2. Bongiovanni, Alessio & Fiandrino, Simona, 2024. "Does firm environmental performance mitigate the market reaction to COVID-19 uncertainty?," Research in International Business and Finance, Elsevier, vol. 68(C).
    3. Aleksanyan, Mark & Danbolt, Jo & Siganos, Antonios & Wu, Betty (H.T.), 2022. "I only fear when I hear: How media affects insider trading in takeover targets," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 318-342.
    4. Mansoor Afzali & Minna Martikainen, 2021. "Network centrality and value relevance of insider trading: Evidence from Europe," The Financial Review, Eastern Finance Association, vol. 56(4), pages 793-819, November.
    5. Riccardo Ferretti & Pierpaolo Pattitoni & Roberto Patuelli, 2021. "Insider Trading and the Market Abuse Directive: Are Voluntary and Mandatory Takeover Bids Different?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 461-485, November.

  12. 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.

    Cited by:

    1. Aviral Kumar Tiwari & Rangan Gupta & Stelios Bekiros, 2016. "Chaos in G7 Stock Markets using Over One Century of Data: A Note," Working Papers 201678, University of Pretoria, Department of Economics.
    2. Ikhlaas Gurrib & Mohammad Nourani & Rajesh Kumar Bhaskaran, 2022. "Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.
    3. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    4. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    5. Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
    6. Ikhlaas Gurrib & Firuz Kamalov & Elgilani Elshareif, 2021. "Can the Leading US Energy Stock Prices be Predicted using the Ichimoku Cloud?," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 41-51.
    7. Siddique, Maryam, 2023. "Does the Adaptive Market Hypothesis Exist in Equity Market? Evidence from Pakistan Stock Exchange," OSF Preprints 9b5dx, Center for Open Science.
    8. Adrian Zoicas‐Ienciu, 2021. "Evaluating active investing with generic trading reactions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1018-1036, January.
    9. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    10. Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    11. Ferreira, Joaquim & Morais, Flávio, 2023. "Predict or to be predicted? A transfer entropy view between adaptive green markets, structural shocks and sentiment index," Finance Research Letters, Elsevier, vol. 56(C).
    12. Pınar Evrim Mandacı & F. Dilvin Taskın & Zeliha Can Ergun, 2019. "Adaptive Market Hypothesis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 84-101.
    13. Ikhlaas Gurrib, 2022. "Technical Analysis, Energy Cryptos and Energy Equity Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 249-267, March.
    14. Robert Hudson & Andrew Urquhart, 2021. "Technical trading and cryptocurrencies," Annals of Operations Research, Springer, vol. 297(1), pages 191-220, February.
    15. Batten, Jonathan A. & Lucey, Brian M. & McGroarty, Frank & Peat, Maurice & Urquhart, Andrew, 2018. "Does intraday technical trading have predictive power in precious metal markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 102-113.
    16. Ke Meng & Shouhao Li, 2021. "The adaptive market hypothesis and high frequency trading," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    17. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.

  13. 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.

    Cited by:

    1. Sheng, Xin & Brzeszczyński, Janusz & Ibrahim, Boulis M., 2017. "International stock return co-movements and trading activity," Finance Research Letters, Elsevier, vol. 23(C), pages 12-18.
    2. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
    3. 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.

  14. 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.

    Cited by:

    1. Degenhardt, Thomas & Auer, Benjamin R., 2018. "The “Sell in May” effect: A review and new empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 169-205.
    2. Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.
    3. Alin Marius ANDRIEŞ & Iulian IHNATOV & Nicu SPRINCEAN, 2017. "Do Seasonal Anomalies Still Exist In Central And Eastern European Countries? A Conditional Variance Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 60-83, December.

  15. 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.

    Cited by:

    1. Ye, Cheng & Qiu, Yanjun & Lu, Guohao & Hou, Yawen, 2018. "Quantitative strategy for the Chinese commodity futures market based on a dynamic weighted money flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1009-1018.
    2. Söhnke M. Bartram & Jürgen Branke & Mehrshad Motahari, 2020. "Artificial intelligence in asset management," Working Papers 20202001, Cambridge Judge Business School, University of Cambridge.
    3. Bazzana, Flavio & Collini, Andrea, 2020. "How does HFT activity impact market volatility and the bid-ask spread after an exogenous shock? An empirical analysis on S&P 500 ETF," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    4. Lorenzo Reus & Guillermo Alexander Sepúlveda-Hurtado, 2023. "Foreign exchange trading and management with the stochastic dual dynamic programming method," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
    5. Manahov, Viktor, 2016. "A note on the relationship between high-frequency trading and latency arbitrage," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 281-296.
    6. Syeda Tayyaba Ijaz & Rabia Komal, 2015. "Role Of Hurst Exponent In Prediction Of Market Efficiency In Kse-100 Index," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 11(2), pages 41-54.
    7. Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
    8. Simone Cirillo & Stefan Lloyd & Peter Nordin, 2014. "Evolving intraday foreign exchange trading strategies utilizing multiple instruments price series," Papers 1411.2153, arXiv.org.
    9. Wright, Calvin & Swidler, Steve, 2023. "Abnormal trading volume, news and market efficiency: Evidence from the Jamaica Stock Exchange," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Andrew Phiri, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(1), pages 1-9, March.
    11. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    12. Viktor Manahov & Robert Hudson, 2014. "The implications of high-frequency trading on market efficiency and price discovery," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1148-1151, November.
    13. 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.
    14. Sashikanta Khuntia & J. K. Pattanayak, 2020. "Evolving Efficiency of Exchange Rate Movement: An Evidence from Indian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 21(4), pages 956-969, August.
    15. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.
    16. Batten, Jonathan A. & Lucey, Brian M. & McGroarty, Frank & Peat, Maurice & Urquhart, Andrew, 2018. "Does intraday technical trading have predictive power in precious metal markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 102-113.
    17. Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema & Thuraisamy, Kannan, 2015. "Is Exchange Rate Trading Profitable?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 217-229.
    18. Serbera, Jean-Philippe & Paumard, Pascal, 2016. "The fall of high-frequency trading: A survey of competition and profits," Research in International Business and Finance, Elsevier, vol. 36(C), pages 271-287.
    19. Esparcia, Carlos & López, Raquel, 2024. "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, vol. 69(C).
    20. Manahov, Viktor & Urquhart, Andrew, 2021. "The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets," International Review of Financial Analysis, Elsevier, vol. 73(C).

  16. 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.

    Cited by:

    1. Nicholas Apergis & Vasilios Plakandaras & Ioannis Pragidis, 2022. "Industry momentum and reversals in stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3093-3138, July.
    2. Kiesel, Florian & Kolaric, Sascha & Schiereck, Dirk, 2016. "Market integration and efficiency of CDS and equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 209-229.
    3. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.
    4. Borgards, Oliver & Czudaj, Robert L., 2021. "Features of overreactions in the cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 31-48.
    5. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    6. Vinicius Ratton Brandi, 2020. "Short-Term Predictability of Stock Market Indexes following Large Drawdowns and Drawups," Working Papers Series 529, Central Bank of Brazil, Research Department.
    7. Yitao Li & Umar Islambekov & Cuneyt Akcora & Ekaterina Smirnova & Yulia R. Gel & Murat Kantarcioglu, 2019. "Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph," Papers 1912.10105, arXiv.org.
    8. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
    9. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    10. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    11. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2016. "A calendar effect: Weekend overreaction (and subsequent reversal) in spot FX rates," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 158-167.
    12. Liam Ison & Robert Hudson, 2017. "Stock predictability and preceding stock price changes – evidence from central and eastern european markets," Economics Bulletin, AccessEcon, vol. 37(2), pages 733-740.
    13. KiHoon Jimmy Hong & Eliza Wu, 2014. "Can Momentum Factors Be Used to Enhance Accounting Information based Fundamental Analysis in Explaining Stock Price Movements?," Research Paper Series 346, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Piccoli, Pedro & Chaudhury, Mo & Souza, Alceu, 2017. "How do stocks react to extreme market events? Evidence from Brazil," Research in International Business and Finance, Elsevier, vol. 42(C), pages 275-284.
    15. Todorova, Neda, 2017. "The intraday directional predictability of large Australian stocks: A cross-quantilogram analysis," Economic Modelling, Elsevier, vol. 64(C), pages 221-230.
    16. Robert Maderitsch, 2015. "Spillovers from the USA to stock markets in Asia: a quantile regression approach," Applied Economics, Taylor & Francis Journals, vol. 47(44), pages 4714-4727, September.
    17. Xinyue He & Teresa Serra & Philip Garcia, 2021. "Resilience in “Flash Events” in the Corn and Lean Hog Futures Markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 743-764, March.
    18. Borgards, Oliver & Czudaj, Robert L., 2020. "The prevalence of price overreactions in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    19. Rezvanian Rasoul & Klaczynska Ewelina & Krysiak Zbigniew, 2015. "Equity Market Reaction to Sharp Price Changes: Evidence from Poland," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 169-190, July.
    20. Srikanth Parthasarathy & Kannadas Sendilvelu, 2022. "On Stock Return Patterns Following Large Monthly Price Movements: Empirical Evidence from India," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 249-268.
    21. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    22. Kiesel, Florian, 2016. "The effect of credit and rating events on credit default swap and equity markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81265, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    23. Daniel Folkinshteyn & Gulser Meric & Ilhan Meric, 2015. "Investor Reaction In Stock Market Crashes And Post-Crash Market Reversals," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(5), pages 57-70.

  17. 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.

    Cited by:

    1. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    2. Chao Kevin Li, 2021. "Wealth effects of dividend regulation: Evidence from China," Australian Journal of Management, Australian School of Business, vol. 46(2), pages 197-223, May.
    3. Chen, Yu-Lun & Mo, Wan-Shin, 2023. "Determinants and dynamic interactions of trader positions in the gold futures market," Journal of Commodity Markets, Elsevier, vol. 31(C).
    4. 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.
    5. González, María de la O & Jareño, Francisco, 2019. "Testing extensions of Fama & French models: A quantile regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 188-204.
    6. Lili Li & Shan Leng & Jun Yang & Mei Yu, 2016. "Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, September.
    7. Jain, Pawan & Xue, Wenjun, 2017. "Global investigation of return autocorrelation and its determinants," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 200-217.

  18. 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.

    Cited by:

    1. Hau, Liya & Zhu, Huiming & Shahbaz, Muhammad & Sun, Wuqin, 2021. "Does transaction activity predict Bitcoin returns? Evidence from quantile-on-quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    2. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    3. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Spillovers from the United States to Latin American and G7 stock markets: A VAR quantile analysis," Emerging Markets Review, Elsevier, vol. 31(C), pages 32-46.
    4. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    5. Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
    6. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and Volatility Spillover effects in Equity Markets during and after the Global Financial Crisis: an MEM approach," Cardiff Economics Working Papers E2018/6, Cardiff University, Cardiff Business School, Economics Section.
    7. Enoksen, F.A. & Landsnes, Ch.J. & Lučivjanská, K. & Molnár, P., 2020. "Understanding risk of bubbles in cryptocurrencies," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 129-144.
    8. Sousa, Ricardo M. & Vivian, Andrew & Wohar, Mark E., 2016. "Predicting asset returns in the BRICS: The role of macroeconomic and fundamental predictors," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 122-143.
    9. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    10. Rocco Caferra & Pasquale Marcello Falcone & Andrea Morone & Piergiuseppe Morone, 2022. "Is COVID-19 anticipating the future? Evidence from investors’ sustainable orientation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 177-196, March.
    11. Lee, Jaeram & Lee, Geul & Ryu, Doojin, 2018. "Difference in the intraday return-volume relationships of spots and futures: A quantile regression approach," Economics Discussion Papers 2018-68, Kiel Institute for the World Economy (IfW Kiel).
    12. Ralf Brüggemann & Markus Glaser & Stefan Schaarschmidt & Sandra Stankiewicz, 2014. "The Stock Return - Trading Volume Relationship in European Countries: Evidence from Asymmetric Impulse Responses," Working Paper Series of the Department of Economics, University of Konstanz 2014-24, Department of Economics, University of Konstanz.
    13. Ciner, Cetin, 2015. "Time variation in systematic risk, returns and trading volume: Evidence from precious metals mining stocks," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 277-283.
    14. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    15. Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
    16. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    17. Batten, Jonathan A. & Ciner, Cetin & Kosedag, Arman & Lucey, Brian M., 2017. "Is the price of gold to gold mining stocks asymmetric?," Economic Modelling, Elsevier, vol. 60(C), pages 402-407.
    18. Hong Cheng & Yunqing Wang & Yihong Wang & Tinggan Yang, 2022. "Inferring Causal Interactions in Financial Markets Using Conditional Granger Causality Based on Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 719-748, February.
    19. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    20. Sayyed Sadaqat Hussain Shah & Muhammad Asif Khan & Natanya Meyer & Daniel F. Meyer & Judit Oláh, 2019. "Does Herding Bias Drive the Firm Value? Evidence from the Chinese Equity Market," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    21. Pradkhan, Elina, 2017. "Financial activity in agricultural futures markets: evidence from quantile regressions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), October.
    22. Andre M. Marques & Gilberto Tadeu Lima, 2021. "Testing for Granger Causality in Quantiles Between the Wage Share and Capacity Utilization," Working Papers, Department of Economics 2021_03, University of São Paulo (FEA-USP).
    23. Nath, Harmindar B. & Brooks, Robert D., 2020. "Investor-herding and risk-profiles: A State-Space model-based assessment," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    24. Rey Dang & Duc Khuong Nguyen, 2014. "Does Board Gender Diversity Make a Difference? New Evidence from Quantile Regression Analysis," Working Papers 2014-297, Department of Research, Ipag Business School.
    25. Chevapatrakul, Thanaset & Xu, Zhongxiang & Yao, Kai, 2019. "The impact of tail risk on stock market returns: The role of market sentiment," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 289-301.
    26. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
    27. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    28. Su, Xianfang, 2020. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    29. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022. "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    30. Wenjing Zu & Guoda Gu & Sihan Lei, 2022. "Does Digital Transformation in Manufacturing Affect Trade Imbalances? Evidence from US–China Trade," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    31. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    32. Pramod Kumar Naik & Rangan Gupta & Puja Padhi, 2018. "The Relationship Between Stock Market Volatility And Trading Volume: Evidence From South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(1), pages 99-114, January-M.
    33. Yu-Yen Ku & Tze-Yu Yen, 2016. "Heterogeneous Effect of Financial Leverage on Corporate Performance: A Quantile Regression Analysis of Taiwanese Companies," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-33, September.
    34. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    35. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    36. Marques, André M. & Lima, Gilberto Tadeu, 2022. "Testing for Granger causality in quantiles between the wage share in income and productive capacity utilization," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 290-312.
    37. Gupta, Suman & Das, Debojyoti & Hasim, Haslifah & Tiwari, Aviral Kumar, 2018. "The dynamic relationship between stock returns and trading volume revisited: A MODWT-VAR approach," Finance Research Letters, Elsevier, vol. 27(C), pages 91-98.
    38. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    39. Uribe, Jorge M. & Guillen, Montserrat & Mosquera-López, Stephania, 2018. "Uncovering the nonlinear predictive causality between natural gas and electricity prices," Energy Economics, Elsevier, vol. 74(C), pages 904-916.
    40. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
    41. González, María de la O & Jareño, Francisco, 2019. "Testing extensions of Fama & French models: A quantile regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 188-204.
    42. Shen, Yifan & Shi, Xunpeng & Variam, Hari Malamakkavu Padinjare, 2018. "Risk transmission mechanism between energy markets: A VAR for VaR approach," Energy Economics, Elsevier, vol. 75(C), pages 377-388.
    43. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2022. "Spillover effects between commodity and stock markets: A SDSES approach," Resources Policy, Elsevier, vol. 79(C).
    44. Chi-Wei Su & Xu-Yu Cai & Ran Tao, 2020. "Can Stock Investor Sentiment Be Contagious in China?," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    45. BenMabrouk, Houda & Litimi, Houda, 2018. "Cross herding between American industries and the oil market," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 196-205.
    46. Lili Li & Shan Leng & Jun Yang & Mei Yu, 2016. "Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, September.
    47. Dias, Ishanka K. & Fernando, J.M. Ruwani & Fernando, P. Narada D., 2022. "Does investor sentiment predict bitcoin return and volatility? A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
    48. Shen, Yifan, 2018. "International risk transmission of stock market movements," Economic Modelling, Elsevier, vol. 69(C), pages 220-236.
    49. Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Zeitun, Rami & Rehman, Mobeen Ur, 2017. "Diversification potential of Asian frontier, BRIC emerging and major developed stock markets: A wavelet-based value at risk approach," Emerging Markets Review, Elsevier, vol. 32(C), pages 130-147.
    50. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    51. Stephanos Papadamou & Νikolaos A. Kyriazis & Panayiotis G. Tzeremes, 2020. "US non-linear causal effects on global equity indices in Normal times versus unconventional eras," International Economics and Economic Policy, Springer, vol. 17(2), pages 381-407, May.
    52. Senarathne, Chamil W., . "The Information Flow Interpretation of Margin Debt Value Data: Evidence from New York Stock Exchange," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(1).
    53. Park, Sung Y. & Ryu, Doojin & Song, Jeongseok, 2017. "The dynamic conditional relationship between stock market returns and implied volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 638-648.
    54. Saif Siddiqui & Preeti Roy, 2019. "Asymmetric relationship between implied volatility, index returns and trading volume: an application of quantile regression model," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(3), pages 239-252, September.
    55. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    56. Zheng, Dazhi & Li, Huimin & Chiang, Thomas C., 2017. "Herding within industries: Evidence from Asian stock markets," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 487-509.
    57. Bouri, Elie & Lau, Chi Keung Marco & Lucey, Brian & Roubaud, David, 2019. "Trading volume and the predictability of return and volatility in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 29(C), pages 340-346.
    58. Elina Pradkhan, 2017. "Financial activity in agricultural futures markets: evidence from quantile regressions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), pages 610-625, October.
    59. Paeng, Seongcheol & Senteney, Dave & Yang, Taewon, 2024. "Spillover effects, lead and lag relationships, and stable coins time series," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 45-60.
    60. Muhammad Ali Nasir & Toan Luu Duc Huynh & Sang Phu Nguyen & Duy Duong, 2019. "Forecasting cryptocurrency returns and volume using search engines," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-13, December.
    61. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  19. 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.

    Cited by:

    1. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    2. Júlio Lobão, 2022. "Herding Behavior in the Market for Green Cryptocurrencies: Evidence from CSSD and CSAD Approaches," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
    3. 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).
    4. Bohl, Martin T. & Branger, Nicole & Trede, Mark, 2017. "The case for herding is stronger than you think," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 30-40.
    5. Vo, Xuan Vinh & Phan, Dang Bao Anh, 2019. "Herd behavior and idiosyncratic volatility in a frontier market," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 321-330.
    6. D'Arcangelis, Anna Maria & Rotundo, Giulia, 2021. "Herding in mutual funds: A complex network approach," Journal of Business Research, Elsevier, vol. 129(C), pages 679-686.
    7. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta & Nikolaos Philippas, 2014. "Revisiting Herding Behavior in REITs: A RegimeSwitching Approach," Working Papers 15-15, Eastern Mediterranean University, Department of Economics.
    8. Jiang, Rui & Wen, Conghua & Zhang, Ruonan & Cui, Yu, 2022. "Investor's herding behavior in Asian equity markets during COVID-19 period," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    9. Elie Bouri & Rangan Gupta & David Roubaud, 2018. "Herding Behaviour in the Cryptocurrency Market," Working Papers 201834, University of Pretoria, Department of Economics.
    10. Mohamad, Azhar & Stavroyiannis, Stavros, 2022. "Do birds of a feather flock together? Evidence from time-varying herding behaviour of bitcoin and foreign exchange majors during Covid-19," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    11. Pegah Dehghani & Ros Zam Zam Sapian, 2014. "Sectoral herding behavior in the aftermarket of Malaysian IPOs," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 227-246, July.
    12. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Ferreira, Mario Pedro Leite, 2013. "Institutional industry herding: Intentional or spurious?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 192-214.
    13. Humayun Kabir, M. & Shakur, Shamim, 2018. "Regime-dependent herding behavior in Asian and Latin American stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 60-78.
    14. BenSaïda, Ahmed, 2017. "Herding effect on idiosyncratic volatility in U.S. industries," Finance Research Letters, Elsevier, vol. 23(C), pages 121-132.
    15. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    16. Fang, Hao & Shen, Chung-Hua & Lee, Yen-Hsien, 2017. "The dynamic and asymmetric herding behavior of US equity fund managers in the stock market," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 353-369.
    17. Chong, Oiping & Bany- Ariffin, A.N. & Matemilola, Bolaji Tunde & McGowan, C.B., 2020. "Can China’s cross-sectional dispersion of stock returns influence the herding behaviour of traders in other local markets and China’s trading partners?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    18. Yi-Chang Chen & Hung-Che Wu & Jen-Jsung Huang, 2017. "Herd Behavior and Rational Expectations: A Test of China's Market Using Quantile Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 649-663.
    19. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    20. Xie, Tian & Xu, Yi & Zhang, Xinsheng, 2015. "A new method of measuring herding in stock market and its empirical results in Chinese A-share market," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 324-339.
    21. Raja Mazhar Hameed & Abdul Rafae Mazhar Raja & Nida Zahid, 2023. "Herding Spillover among the Stock Markets: Pakistan & China Covering Covid-19 and Its Repercussions," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 257-267.
    22. Tao Chen & Robert K. Larson & Han Mo, 2024. "Investor Herding and Price Informativeness in Global Markets: Evidence from Earnings Announcements," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 25(1), pages 92-110, January.
    23. Ukpong, Idibekeabasi & Tan, Handy & Yarovaya, Larisa, 2021. "Determinants of industry herding in the US stock market," Finance Research Letters, Elsevier, vol. 43(C).
    24. Economou, Fotini & Gavriilidis, Konstantinos & Goyal, Abhinav & Kallinterakis, Vasileios, 2015. "Herding dynamics in exchange groups: Evidence from Euronext," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 228-244.
    25. Lee, Kyuseok, 2017. "Herd behavior of the overall market: Evidence based on the cross-sectional comovement of returns," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 266-284.
    26. Guney, Yilmaz & Kallinterakis, Vasileios & Komba, Gabriel, 2017. "Herding in frontier markets: Evidence from African stock exchanges," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 152-175.
    27. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    28. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    29. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    30. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
    31. 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.
    32. Mihaela Brodocianu & Ovidiu Stoica, 2017. "Herding Behavior Of Institutional Investors In Romania. An Empirical Analysis," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 20, pages 115-130, December.
    33. Huang, Chuangxia & Cai, Yaqian & Yang, Xiaoguang & Deng, Yanchen & Yang, Xin, 2023. "Laplacian-energy-like measure: Does it improve the Cross-Sectional Absolute Deviation herding model?," Economic Modelling, Elsevier, vol. 127(C).
    34. Fu, Jingxue & Wu, Lan, 2021. "Regime-switching herd behavior: Novel evidence from the Chinese A-share market," Finance Research Letters, Elsevier, vol. 39(C).
    35. Han, Liyan & Liu, Yang & Yin, Libo, 2019. "Uncertainty and currency performance: A quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 702-729.
    36. 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).
    37. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    38. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    39. Vijay Kumar Shrotryia & Himanshi Kalra, 2021. "Analysis of Sectoral Herding through Quantile Regression: A Study of S&P BSE 500 Stocks," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(1), pages 1-16, June.
    40. Kizys, Renatas & Tzouvanas, Panagiotis & Donadelli, Michael, 2021. "From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions," International Review of Financial Analysis, Elsevier, vol. 74(C).
    41. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.
    42. Li, Jie & Zhang, Yongjie & Feng, Xu & An, Yahui, 2019. "Which kind of investor causes comovement?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 1-15.
    43. Oi-Ping Chong & A.N. Bany-Ariffin & Annuar Md Nassir & Junaina Muhammad, 2019. "An Empirical Study of Herding Behaviour in China’s A-Share and B-Share Markets: Evidence of Bidirectional Herding Activities," Capital Markets Review, Malaysian Finance Association, vol. 27(2), pages 37-57.
    44. Scharnowski, Stefan & Shi, Yanghua, 2024. "Intraday herding and attention around the clock," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    45. Kumar, Ashish & Badhani, K.N. & Bouri, Elie & Saeed, Tareq, 2021. "Herding behavior in the commodity markets of the Asia-Pacific region," Finance Research Letters, Elsevier, vol. 41(C).

  20. 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.

    Cited by:

    1. Dilip Kumar, 2019. "Structural Breaks in Volatility Transmission from Developed Markets to Major Asian Emerging Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2), pages 172-209, August.
    2. Zhang, Qun & Zhang, Zhendong & Luo, Jiawen, 2024. "Asymmetric and high-order risk transmission across VIX and Chinese futures markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    3. Kumar, Dilip, 2017. "Realized volatility transmission from crude oil to equity sectors: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 149-167.

  21. 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.

    Cited by:

    1. Fei Su & Lili Zhai & Yunyan Zhou & Zixi Zhuang & Feifan Wang, 2024. "Risk contagion in financial markets: A systematic review using bibliometric methods," Australian Economic Papers, Wiley Blackwell, vol. 63(1), pages 163-199, March.
    2. Graham Bird & Wenti Du & Eric Pentecost & Thomas Willett, 2017. "Safe haven or contagion? The disparate effects of Euro-zone crises on non-Euro-zone neighbours," Applied Economics, Taylor & Francis Journals, vol. 49(59), pages 5895-5904, December.
    3. Mensi, Walid & Boubaker, Ferihane Zaraa & Al-Yahyaee, Khamis Hamed & Kang, Sang Hoon, 2018. "Dynamic volatility spillovers and connectedness between global, regional, and GIPSI stock markets," Finance Research Letters, Elsevier, vol. 25(C), pages 230-238.
    4. Patel, Ritesh & Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Yarovaya, Larisa, 2022. "A bibliometric review of financial market integration literature," International Review of Financial Analysis, Elsevier, vol. 80(C).
    5. Abad-González, Julio & Gutiérrez-López, Cristina, 2016. "Modelización de la solvencia bancaria en escenarios adversos: aplicación a los «PIIGS»," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(2), pages 227-238.
    6. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    7. Juneja, Januj, 2017. "How Germany benefits the most from its Eurozone membership," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1074-1088.
    8. Mateus, Cesario & Chinthalapati, Raju & Mateus, Irina B., 2017. "Intraday industry-specific spillover effect in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 278-298.
    9. Pappas, Vasileios & Ingham, Hilary & Izzeldin, Marwan & Steele, Gerry, 2016. "Will the crisis “tear us apart”? Evidence from the EU," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 346-360.

  22. 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.

    Cited by:

    1. 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.
    2. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    3. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    4. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    5. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    6. Apergis, Nicholas & Baruník, Jozef & Lau, Marco Chi Keung, 2017. "Good volatility, bad volatility: What drives the asymmetric connectedness of Australian electricity markets?," Energy Economics, Elsevier, vol. 66(C), pages 108-115.
    7. Walid Abass Mohammed, 2021. "Volatility Spillovers among Developed and Developing Countries: The Global Foreign Exchange Markets," JRFM, MDPI, vol. 14(6), pages 1-30, June.
    8. Pramod Kumar Naik & Rangan Gupta & Puja Padhi, 2018. "The Relationship Between Stock Market Volatility And Trading Volume: Evidence From South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(1), pages 99-114, January-M.
    9. Jiranyakul, Komain, 2016. "Dynamic relationship between stock return, trading volume, and volatility in the Stock Exchange of Thailand: does the US subprime crisis matter?," MPRA Paper 73791, University Library of Munich, Germany.
    10. Manahov, Viktor & Hudson, Robert & Linsley, Philip, 2014. "New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 299-316.

  23. 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.

    Cited by:

    1. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    2. Das, Prashant & Füss, Roland & Hanle, Benjamin & Russ, Isabel Nina, 2020. "The cross-over effect of irrational sentiments in housing, commercial property, and stock markets," Journal of Banking & Finance, Elsevier, vol. 114(C).
    3. 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).
    4. Bohl, Martin T. & Branger, Nicole & Trede, Mark, 2017. "The case for herding is stronger than you think," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 30-40.
    5. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta & Nikolaos Philippas, 2014. "Revisiting Herding Behavior in REITs: A RegimeSwitching Approach," Working Papers 15-15, Eastern Mediterranean University, Department of Economics.
    6. Hsieh, Shu-Fan, 2013. "Individual and institutional herding and the impact on stock returns: Evidence from Taiwan stock market," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 175-188.
    7. Rahman, M. Arifur & Chowdhury, Shah Saeed Hassan & Shibley Sadique, M., 2015. "Herding where retail investors dominate trading: The case of Saudi Arabia," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 46-60.
    8. Poon, Ser-Huang & Rockinger, Michael & Stathopoulos, Konstantinos, 2013. "Market liquidity and institutional trading during the 2007–8 financial crisis," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 86-97.
    9. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Ferreira, Mario Pedro Leite, 2013. "Institutional industry herding: Intentional or spurious?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 192-214.
    10. Geoffrey M. Ngene & Daniel P. Sohn & M. Kabir Hassan, 2017. "Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 482-514, May.
    11. Tihana Škrinjarić, 2018. "Revisiting Herding Investment Behavior on the Zagreb Stock Exchange: A Quantile Regression Approach," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(2), pages 119-162, December.
    12. Martin T. Bohl & Nicole Branger & Mark Trede, 2015. "The Case of Herding ist Stronger than You Think," CQE Working Papers 3715, Center for Quantitative Economics (CQE), University of Muenster.
    13. Ahmad Fawwaz Mohd Nasarudin & Bany Ariffin Amin Noordin & Siong Hook Law & Mohd Hisham Yahya, 2017. "Investigation of Herding Behaviour in Developed and Developing Countries: Does Country Governance Factor Matters?," Capital Markets Review, Malaysian Finance Association, vol. 25(2), pages 1-14.
    14. Murphy, Austin, 2012. "Biology-induced effects on investor psychology and behavior," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 20-25.
    15. , Aisdl, 2020. "Determinants of Stock Market Investors’ Behavior in COVID-19: A Study on the Pakistan Stock Exchange," OSF Preprints 4s9xe, Center for Open Science.
    16. , Aisdl, 2019. "Herd Behavior of Investments: An Assessment of Indian Stock Market," OSF Preprints 324nu, Center for Open Science.
    17. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    18. Economou, Fotini & Gavriilidis, Konstantinos & Goyal, Abhinav & Kallinterakis, Vasileios, 2015. "Herding dynamics in exchange groups: Evidence from Euronext," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 228-244.
    19. Philippas, Nikolaos & Economou, Fotini & Babalos, Vassilios & Kostakis, Alexandros, 2013. "Herding behavior in REITs: Novel tests and the role of financial crisis," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 166-174.
    20. Ajay Kumar Chauhan & Barnali Chaklader, 2023. "Do Local Investors Exhibit Smart Value Investment? Empirical Evidence from India," Global Business Review, International Management Institute, vol. 24(5), pages 833-844, October.
    21. Guney, Yilmaz & Kallinterakis, Vasileios & Komba, Gabriel, 2017. "Herding in frontier markets: Evidence from African stock exchanges," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 152-175.
    22. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    23. Jackowicz, Krzysztof & Kozłowski, Łukasz & Podgórski, Błażej, 2017. "The distant echo of Brexit: Did exporters suffer the most?," Finance Research Letters, Elsevier, vol. 21(C), pages 132-139.
    24. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    25. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    26. Dorika Jeremiah Mwamtambulo, 2019. "Herding Behaviours in Poland and Tanzania," Proceedings of International Academic Conferences 9011210, International Institute of Social and Economic Sciences.
    27. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
    28. 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.
    29. Agata Kliber & Blanka Let & Aleksandra Rutkowska, 2016. "Socio-demographic characteristics of investors in the Warsaw Stock Exchange – How they influence the investment decision," Bank i Kredyt, Narodowy Bank Polski, vol. 47(2), pages 91-118.
    30. Ramzi Benkraiem & Mondher Bouattour & Emilios Galariotis & Anthony Miloudi, 2021. "Do investors in SMEs herd? Evidence from French and UK equity markets," Small Business Economics, Springer, vol. 56(4), pages 1619-1637, April.
    31. Lee Xue Qing & Teoh Teng Tenk, Melissa & Lee Teck Heang, 2021. "Determinants of Investment Decision Making among Malaysians during COVID-19 Pandemic," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(7), pages 52-62, July.
    32. Kapil Choudhary & Parminder Singh & Amit Soni, 2022. "Relationship Between FIIs’ Herding and Returns in the Indian Equity Market: Further Empirical Evidence," Global Business Review, International Management Institute, vol. 23(1), pages 137-155, February.
    33. Rajdeep Kumar Raut & Niladri Das & Ramkrishna Mishra, 2020. "Behaviour of Individual Investors in Stock Market Trading: Evidence from India," Global Business Review, International Management Institute, vol. 21(3), pages 818-833, June.
    34. 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).
    35. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    36. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    37. Ashish Kumar Garg & Subrata Kumar Mitra & Dilip Kumar, 2016. "Do foreign institutional investors herd in emerging markets? A study of individual stocks," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 281-300, September.
    38. Wang, Yudong & Liu, Li & Gu, Rongbao & Cao, Jianjun & Wang, Haiyan, 2010. "Analysis of market efficiency for the Shanghai stock market over time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1635-1642.
    39. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.
    40. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.
    41. Zheng, Zhigang & Tang, Ke & Liu, Yaodong & Guo, Jie Michael, 2021. "Gender and herding," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 379-400.
    42. Chien-Chiang Lee & Mei-Ping Chen & Kuan-Mien Hsieh, 2012. "Industry herding and market states: evidence from Chinese stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 13(7), pages 1091-1113, October.
    43. 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.
    44. Coskun, Esra Alp & Lau, Chi Keung Marco & Kahyaoglu, Hakan, 2020. "Uncertainty and herding behavior: evidence from cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 54(C).
    45. Belghitar, Yacine & Clark, Ephraim & Kassimatis, Konstantino, 2011. "The prudential effect of strategic institutional ownership on stock performance," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 191-199, August.

  24. 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.

    Cited by:

    1. 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.
    2. Galazka, Marek, 2011. "Characteristics of the Polish Stock Market correlations," International Review of Financial Analysis, Elsevier, vol. 20(1), pages 1-5, January.
    3. Lin, Mei-Chen & Wu, Chu-Hua & Chiang, Ming-Ti, 2014. "Investor attention and information diffusion from analyst coverage," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 235-246.
    4. Arjoon, Vaalmikki & Bougheas, Spiros & Milner, Chris, 2016. "Lead-lag relationships in an embryonic stock market: Exploring the role of institutional ownership and liquidity," Research in International Business and Finance, Elsevier, vol. 38(C), pages 262-276.

  25. 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.

    Cited by:

    1. Korkmaz, Turhan & Çevik, Emrah İ. & Atukeren, Erdal, 2012. "Return and volatility spillovers among CIVETS stock markets," Emerging Markets Review, Elsevier, vol. 13(2), pages 230-252.
    2. Grigoryev, Ruslan & Jaffry, Shabbar & Marchenko, German, 2012. "The role of the timeline in Granger causality test in the presence of daily data non-synchronism," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 3-19.
    3. Ahmed, Walid M.A., 2018. "On the interdependence of natural gas and stock markets under structural breaks," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 149-161.
    4. Thomas Dimpfl & Robert Jung, 2011. "Financial market spillovers around the globe," Global Financial Markets Working Paper Series 20-2011, Friedrich-Schiller-University Jena.
    5. Mukherjee, Dr. Kedar nath & Mishra, Dr. R. K., 2008. "Stock Market Integration and Volatility Spillover:India and its Major Asian Counterparts," MPRA Paper 12788, University Library of Munich, Germany.
    6. Ahmed, Walid M.A., 2019. "Islamic and conventional equity markets: Two sides of the same coin, or not?," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 191-205.
    7. Mensi, Walid & Ziadat, Salem Adel & Rababa'a, Abdel Razzaq Al & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "Oil, gold and international stock markets: Extreme spillovers, connectedness and its determinants," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 1-17.
    8. Harald Schmidbauer & Angi Rösch & Erhan Uluceviz & Narod Erkol, 2016. "The Russian Stock Market during the Ukrainian Crisis: A Network Perspective," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 478-509, December.
    9. Michał Adam, 2013. "Spillovers and contagion in the sovereign CDS market," Bank i Kredyt, Narodowy Bank Polski, vol. 44(6), pages 571-604.
    10. Michał Adam & Piotr Bańbuła & Michał Markun, 2013. "Dependence and contagion between asset prices in Poland and abroad. A copula approach," NBP Working Papers 169, Narodowy Bank Polski.
    11. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006/04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    12. Koulakiotis, Athanasios & Babalos, Vassilios & Papasyriopoulos, Nicholas, 2016. "Financial crisis, liquidity and dynamic linkages between large and small stocks: Evidence from the Athens Stock Exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 46-62.
    13. Galin Todorov & Prasad Bidarkota, 2013. "On international financial spillovers to frontier markets," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 5(4), pages 433-452.
    14. Vigenina, Denitsa & Kritikos, Alexander S., 2005. "The individual micro-lending contract: Is it a better design than joint-liability? - Evidence from Georgia," Working Paper Series 2005,10, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    15. Lau, Chi Keung Marco & Sheng, Xin, 2018. "Inter- and intra-regional analysis on spillover effects across international stock markets," Research in International Business and Finance, Elsevier, vol. 46(C), pages 420-429.
    16. Григорьев Р.А., 2019. "Одновременные Эффекты Несинхронных Временных Рядов: Проблемы Var-Модели," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 118-129, апрель.
    17. Delcoure, Natalya (Natasha) & Singh, Harmeet, 2016. "BRIC or CBRI: It just doesn’t sound as sexy, does it?," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 230-239.
    18. Todd Moss and Ross Thuotte, 2013. "Nowhere Left to Hide? Stock Market Correlation, Regional Diversification, and the Case for Investing in Africa," Working Papers 316, Center for Global Development.
    19. Priyanka Singh & Brajesh Kumar & Pandey, Ajay, 2008. "Price and Volatility Spillovers across North American, European and Asian Stock Markets: With Special Focus on Indian Stock Market," IIMA Working Papers WP2008-12-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    20. Middleton, C.A.J. & Fifield, S.G.M. & Power, D.M., 2008. "An investigation of the benefits of portfolio investment in Central and Eastern European stock markets," Research in International Business and Finance, Elsevier, vol. 22(2), pages 162-174, June.
    21. Roni Bhowmik & Abbas Ghulam & Wang Shouyang, 2018. "Return and Volatility Spillovers Effects: Study of Asian Emerging Stock Markets," Journal of Systems Science and Information, De Gruyter, vol. 6(2), pages 97-119, April.
    22. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz Piotr, 2006. "Political Orientation of Government and Stock Market Returns," Working Paper Series 2006,9, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    23. Urom, Christian & Guesmi, Khaled & Abid, Ilyes & Dagher, Leila, 2023. "Dynamic integration and transmission channels among interest rates and oil price shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 296-317.
    24. Michal Adam & Piotr Banbula & Michal Markun, 2015. "International Dependence and Contagion across Asset Classes: The Case of Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(3), pages 254-270, May.
    25. Roszkowska Paulina & Prorokowski Łukasz, 2013. "Model of Financial Crisis Contagion: A Survey-based Simulation by Means of the Modified Kaplan-Meier Survival Plots," Folia Oeconomica Stetinensia, Sciendo, vol. 13(1), pages 22-55, December.
    26. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Yarovaya, Larisa & Ali, Shoaib, 2023. "Tail-event driven NETwork dependence in emerging markets," Emerging Markets Review, Elsevier, vol. 55(C).
    27. Mr. Phurichai Rungcharoenkitkul, 2011. "Risk Sharing and Financial Contagion in Asia: An Asset Price Perspective," IMF Working Papers 2011/242, International Monetary Fund.
    28. Dimitrios Kartsonakis-Mademlis & Nikolaos Dritsakis, 2022. "Asymmetric volatility transmission in Japanese stock market in the presence of structural breaks," The Japanese Economic Review, Springer, vol. 73(4), pages 647-677, October.
    29. Emrah Ismail Cevik & Sel Dibooglu & Atif Awad Abdallah & Eisa Abdulrahman Al-Eisa, 2021. "Oil prices, stock market returns, and volatility spillovers: evidence from Saudi Arabia," International Economics and Economic Policy, Springer, vol. 18(1), pages 157-175, February.
    30. Bouri, Elie & Chen, Qian & Lien, Donald & Lv, Xin, 2017. "Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 34-48.
    31. Kozhan, Roman, 2006. "Multiple Priors And No-Transaction Region," Working Paper Series 2006,4, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    32. Gilenko, Evgenii & Fedorova, Elena, 2014. "Internal and external spillover effects for the BRIC countries: Multivariate GARCH-in-mean approach," Research in International Business and Finance, Elsevier, vol. 31(C), pages 32-45.
    33. Mukherjee, Kedar nath & Mishra, Ram Kumar, 2010. "Stock market integration and volatility spillover: India and its major Asian counterparts," Research in International Business and Finance, Elsevier, vol. 24(2), pages 235-251, June.
    34. Papież, Monika & Śmiech, Sławomir, 2013. "Causality-in-mean and causality-in-variance within the international steam coal market," Energy Economics, Elsevier, vol. 36(C), pages 594-604.
    35. 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.
    36. Grigoryev, Ruslan & Jaffry, Shabbar & Marchenko, German, 2012. "Investigation of the consequences of ignoring daily data non-synchronism in cross-market linkages: BRIC and developed countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 26(2), pages 92-112.
    37. Murat Taşdemir & Abdullah Yalama, 2014. "Volatility Spillover Effects in Interregional Equity Markets: Empirical Evidence from Brazil and Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(2), pages 190-202, March.
    38. Majdoub, Jihed & Mansour, Walid, 2014. "Islamic equity market integration and volatility spillover between emerging and US stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 452-470.
    39. Cevik, Nuket Kirci & Cevik, Emrah I. & Dibooglu, Sel, 2020. "Oil prices, stock market returns and volatility spillovers: Evidence from Turkey," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 597-614.
    40. Waqar Haider Hashmi & Nazima Ellahi & Saima Ehsan & Ajmal Waheed, 2021. "Transmission Of Contemporaneous Shocks From The World To Emerging Islamic Equity Markets: An Application Of Geweke Measure," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 10(4), pages 44-55, December.
    41. Alok Pandey & Surya Bhushan Kumar, 2011. "Volatility Transmission from Global Stock Exchanges to India," Vision, , vol. 15(4), pages 347-360, December.

  26. 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.

    Cited by:

    1. 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.
    2. Vaalmikki Argoon & Spiros Bougheas & Chris Milner, 2013. "Lead-Lag Relationships and Institutional Ownership: Evidence from an Embryonic Equity Market," Discussion Papers 2013/08, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    3. Shih-Yung Wei & Li-Wei Lin & Surong Yan & Lu-jie Zhu, 2019. "Empirical Analysis on Price-Volume Relation in the Stock Market of China," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 94-103.
    4. Ajay Kumar Chauhan & Barnali Chaklader, 2023. "Do Local Investors Exhibit Smart Value Investment? Empirical Evidence from India," Global Business Review, International Management Institute, vol. 24(5), pages 833-844, October.
    5. Henryk Gurgul & Paweł Majdosz, 2006. "The impact of institutional investors on risk and stock return autocorrelations in the context of the Polish pension reform," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(2), pages 5-30.
    6. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.

  27. 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.

    Cited by:

    1. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    2. Andrikopoulos, Andreas & Angelidis, Timotheos & Skintzi, Vasiliki, 2014. "Illiquidity, return and risk in G7 stock markets: Interdependencies and spillovers," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 118-127.
    3. Farid, Saqib & Kayani, Ghulam Mujtaba & Naeem, Muhammad Abubakr & Shahzad, Syed Jawad Hussain, 2021. "Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 72(C).
    4. Qunfeng LIAO & Seyed MEHDIAN & John STEPHENS, 2016. "The Impact Of The 2008 Global Financial Crisis On The Structure Of The Transmission Of Price Innovations Across Financial Markets: The Case Of Southwest Asian Equity Markets," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 63(2), pages 195-208, July.
    5. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006/04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    6. Galin Todorov & Prasad Bidarkota, 2013. "On international financial spillovers to frontier markets," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 5(4), pages 433-452.
    7. Vigenina, Denitsa & Kritikos, Alexander S., 2005. "The individual micro-lending contract: Is it a better design than joint-liability? - Evidence from Georgia," Working Paper Series 2005,10, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    8. Adekunle, Salami Saheed & Masih, Mansur, 2017. "Assessing the viability of Sukuk for portfolio diversification using MS-DCC-GARCH," MPRA Paper 79443, University Library of Munich, Germany.
    9. Shen, Pei-Long & Li, Wen & Wang, Xiao-Ting & Su, Chi-Wei, 2015. "Contagion effect of the European financial crisis on China's stock markets: Interdependence and pure contagion," Economic Modelling, Elsevier, vol. 50(C), pages 193-199.
    10. Galin Todorov & Prasad Bidarkota, 2014. "Time-varying financial spillovers from the US to frontier markets," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(2), pages 246-283, September.
    11. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz Piotr, 2006. "Political Orientation of Government and Stock Market Returns," Working Paper Series 2006,9, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    12. Ziadat, Salem Adel & Herbst, Patrick & McMillan, David G., 2020. "Inter- and intra-regional stock market relations for the GCC bloc," Research in International Business and Finance, Elsevier, vol. 54(C).
    13. Zaghum Umar & Saqib Aziz & Dima Tawil, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Post-Print hal-03330197, HAL.
    14. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
    15. Daugherty, Mary Schmid & Jithendranathan, Thadavillil, 2015. "A study of linkages between frontier markets and the U.S. equity markets using multivariate GARCH and transfer entropy," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 95-115.
    16. Kozhan, Roman, 2006. "Multiple Priors And No-Transaction Region," Working Paper Series 2006,4, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    17. Maderitsch, R., 2015. "Information transmission between stock markets in Hong Kong, Europe and the US: New evidence on time- and state-dependence," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 13-36.
    18. Chakraborty, Sandip & Kakani, Ram Kumar, 2016. "Institutional investment, equity volume and volatility spillover: Causalities and asymmetries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 1-20.
    19. Dilip Kumar, 2019. "Structural Breaks in Volatility Transmission from Developed Markets to Major Asian Emerging Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2), pages 172-209, August.
    20. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
    21. Liao Qunfeng & Mehdian Seyed & Stephens John, 2016. "The Impact of the 2008 Global Financial Crisis on the Structure of the Transmission of Price Innovations Across Financial Markets: The Case of Southwest Asian Equity Markets," Scientific Annals of Economics and Business, Sciendo, vol. 63(2), pages 195-208, June.
    22. 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.
    23. Olivier ACCOMINOTTI & Marie BRIERE & Aurore BURIETZ & Kim OOSTERLINCK & Ariane SZAFARZ, 2020. "Did Globalization Kill Contagion?," Working Papers 2020-ACF-01, IESEG School of Management.
    24. Jung, R.C. & Maderitsch, R., 2014. "Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 331-342.
    25. 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.
    26. Alex Bara & Pierre Le Roux, 2017. "South Africa's Financial Spillover Effects on Growth and Financial Development in the Southern African Development Community," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 400-412.
    27. Kung, Ling-Ming & Yu, Shang-Wu, 2008. "Prediction of index futures returns and the analysis of financial spillovers--A comparison between GARCH and the grey theorem," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1184-1200, May.
    28. Kumar, Dilip, 2017. "Realized volatility transmission from crude oil to equity sectors: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 149-167.

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