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Investor herding behaviour in globally listed shipping stocks

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  • Theodore Syriopoulos
  • George Bakos

Abstract

This study undertakes one of the first empirical attempts to investigate and contribute a set of innovative findings to investor herding behavior and herding spillover effects in globally listed shipping company stock returns. Distinguishing between OECD and Non-OECD markets, herding behavior is tested on a diversified set of shipping companies traded in international equity markets, over different business cycle phases, financial crises, and external shocks. A set of dynamic models, well established in the relevant behavioral finance literature, is implemented. Empirical evidence indicates investor herding behavior in shipping stock returns and herding spillover effects between different shipping sectors, albeit not robust in all cases. These challenging findings can have a material impact on efficient investment and financing decisions of shipping market players.

Suggested Citation

  • Theodore Syriopoulos & George Bakos, 2019. "Investor herding behaviour in globally listed shipping stocks," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(5), pages 545-564, July.
    • Handle: RePEc:taf:marpmg:v:46:y:2019:i:5:p:545-564
    DOI: 10.1080/03088839.2019.1597288
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    Citations

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    Cited by:

    1. Arthur J. Lin & Hai-Yen Chang & Brian Hung, 2022. "Identifying Key Financial, Environmental, Social, Governance (ESG), Bond, and COVID-19 Factors Affecting Global Shipping Companies—A Hybrid Multiple-Criteria Decision-Making Method," Sustainability, MDPI, vol. 14(9), pages 1-29, April.
    2. Sunil K. Mohanty & Roar Aadland & Sjur Westgaard & Stein Frydenberg & Hilde Lillienskiold & Cecilie Kristensen, 2021. "Modelling Stock Returns and Risk Management in the Shipping Industry," JRFM, MDPI, vol. 14(4), pages 1-25, April.
    3. Pao-Lan Kuo & Chien-Liang Chiu & Chan-Sheng Chen & Mei-Chih Wang, 2020. "The Dynamic Relationships between the Baltic Dry Index and the BRICS Stock Markets: A Wavelet Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(3), pages 340-351, March.
    4. Lulin Zhou & Maxwell O. Antwi & Henry A. Antwi & Ama Boafo‐Arthur & Tehzeeb Mustafa, 2020. "Endangering China's environmental health security goals through negative environmental investor behaviours," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(6), pages 1398-1411, November.
    5. Theodore Syriopoulos & Michael Tsatsaronis & Ioannis Karamanos, 2021. "Support Vector Machine Algorithms: An Application to Ship Price Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 55-87, January.
    6. Hang Zhang & Evangelos Giouvris, 2022. "Measures of Volatility, Crises, Sentiment and the Role of U.S. ‘Fear’ Index (VIX) on Herding in BRICS (2007–2021)," JRFM, MDPI, vol. 15(3), pages 1-42, March.
    7. Kotcharin, Suntichai & Maneenop, Sakkakom, 2020. "Geopolitical risk and corporate cash holdings in the shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

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