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The stock market perception of industry risk and microeconomic factors: The case of the US water transportation industry versus other transport industries

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  • Kavussanos, Manolis G.
  • Marcoulis, Stelios N.

Abstract

This paper undertakes a comparative analysis of the stock market perception of risk of U.S.-listed water transportation and other transport sectors such as air transportation, rail transportation, trucks, and other related industries such as electricity, gas, petroleum refining and real estate over the period July 1984-June 1995. This is done by relating cross-sectional differences in the returns of the companies in each industry to the stock market and to the following set of micro-economic factors: market value of equity; book to market value of equity ratio; earnings to price ratio; asset to market value of equity; and asset to book value of equity. The Seemingly Unrelated Regression methodology (SUR) is employed to estimate the above relationships due to its advantages over ordinary least squares. Our findings reveal that the water transportation industry is the only transportation industry which exhibits lower systematic risk than the market and that the asset-to-book ratio, along with the market, has explanatory power over its cross-sectional returns. Also, the micro factors which are significant in explaining stock returns vary between industries.

Suggested Citation

  • Kavussanos, Manolis G. & Marcoulis, Stelios N., 1997. "The stock market perception of industry risk and microeconomic factors: The case of the US water transportation industry versus other transport industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(2), pages 147-158, June.
    • Handle: RePEc:eee:transe:v:33:y:1997:i:2:p:147-158
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    Cited by:

    1. Alexandridis, George & Kavussanos, Manolis G. & Kim, Chi Y. & Tsouknidis, Dimitris A. & Visvikis, Ilias D., 2018. "A survey of shipping finance research: Setting the future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 164-212.
    2. Misund, Bård, 2018. "Common and fundamental risk factors in shareholder returns of Norwegian salmon producing companies," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 19-30.
    3. Boyer, M. Martin & Filion, Didier, 2007. "Common and fundamental factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 29(3), pages 428-453, May.
    4. Hultkrantz, Lars & A. Krüger, Niclas & Mantalos, Panagiotis, 2014. "Risk-adjusted long-term social rates of discount for transportation infrastructure investment," Research in Transportation Economics, Elsevier, vol. 47(C), pages 70-81.
    5. Hofmann, Erik & Solakivi, Tomi & Töyli, Juuso & Zinn, Martin, 2018. "Oil price shocks and the financial performance patterns of logistics service providers," Energy Economics, Elsevier, vol. 72(C), pages 290-306.
    6. Sui, Cong & Wang, Shuhan & Zheng, Wei, 2024. "Sentiment as a shipping market predictor: Testing market-specific language models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    7. Panayides, Photis M. & Lambertides, Neophytos & Cullinane, Kevin, 2013. "Liquidity risk premium and asset pricing in US water transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 52(C), pages 3-15.
    8. 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.
    9. Syriopoulos, Theodore C., 2007. "Chapter 6 Financing Greek Shipping: Modern Instruments, Methods and Markets," Research in Transportation Economics, Elsevier, vol. 21(1), pages 171-219, January.
    10. Lyócsa, Štefan & Todorova, Neda, 2021. "What drives volatility of the U.S. oil and gas firms?," Energy Economics, Elsevier, vol. 100(C).
    11. Liu, Weihua & Wang, Siyu & Lin, Yong & Xie, Dong & Zhang, Jiahui, 2020. "Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    12. Drobetz, Wolfgang & Menzel, Christina & Schröder, Henning, 2016. "Systematic risk behavior in cyclical industries: The case of shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 129-145.
    13. Photis Panayides & Neophytos Lambertides, 2011. "Fundamental Analysis and Relative Efficiency of Maritime Firms: Dry Bulk vs Tanker Firms," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 5, Edward Elgar Publishing.
    14. Kavussanos, Manolis G. & Marcoulis, Stelios N., 2004. "4. Cross-Industry Comparisons Of The Behaviour Of Stock Returns In Shipping, Transportation And Other Industries," Research in Transportation Economics, Elsevier, vol. 12(1), pages 107-142, January.
    15. Wolfgang Drobetz & Dirk Schilling & Lars Tegtmeier, 2010. "Common risk factors in the returns of shipping stocks," Maritime Policy & Management, Taylor & Francis Journals, vol. 37(2), pages 93-120, March.
    16. Panayiotis Theodossiou & Dimitris Tsouknidis & Christos Savva, 2020. "Freight rates in downside and upside markets: pricing of own and spillover risks from other shipping segments," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1097-1119, June.

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