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The use of technical analysis in sale-and-purchase transactions of secondhand ships

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  • Heng-Chih Chou

    (National Taiwan Ocean University)

  • Dar-Hsin Chen

    (National Taipei University)

Abstract

Sale and purchase (S&P) of secondhand vessels is a key source of profit for dry bulk shipowners, and profitability of such transaction depends on timing decisions. Using a sample of ship prices from June 1986 to 2014, this study applies four technical indicators to identify optimal trading timing for dry bulk ships. Some simulated results are found in the study. Firstly, among four technical indicators, Bollinger bands were found to be optimal for capsize and handysize vessels. Moreover, technical strategies outperform a benchmark buy-and-hold strategy, and they could be more effective in the markets for larger ships (implying lower market efficiency). Thirdly, the investment performance of technical strategies in most vessel sizes is superior to that of the stock market. Finally, delaying a transaction due to market illiquidity can result in shipowners missing ideal timing, thus incurring significant losses, particularly in the case of smaller vessels.

Suggested Citation

  • Heng-Chih Chou & Dar-Hsin Chen, 2019. "The use of technical analysis in sale-and-purchase transactions of secondhand ships," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 223-240, June.
    • Handle: RePEc:pal:marecl:v:21:y:2019:i:2:d:10.1057_s41278-017-0096-2
    DOI: 10.1057/s41278-017-0096-2
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    1. Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 405-426, December.
    2. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1770, August.
    3. S D Tsolakis & C Cridland & H E Haralambides, 2003. "Econometric Modelling of Second-hand Ship Prices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(4), pages 347-377, December.
    4. Conrad, Jennifer & Kaul, Gautam, 1998. "An Anatomy of Trading Strategies," Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 489-519.
    5. Bong-Chan, Kho, 1996. "Time-varying risk premia, volatility, and technical trading rule profits: Evidence from foreign currency futures markets," Journal of Financial Economics, Elsevier, vol. 41(2), pages 249-290, June.
    6. Sweeney, Richard J., 1988. "Some New Filter Rule Tests: Methods and Results," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 285-300, September.
    7. Alizadeh, Amir H. & Nomikos, Nikos K., 2007. "Investment timing and trading strategies in the sale and purchase market for ships," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 126-143, January.
    8. Menkhoff, Lukas, 2010. "The use of technical analysis by fund managers: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2573-2586, November.
    9. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    10. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    11. Dong-Hyun Ahn & Jennifer Conrad & Robert F. Dittmar, 2003. "Risk Adjustment and Trading Strategies," Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 459-485.
    12. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    13. Amir H. Alizadeh & Nikos K. Nomikos, 2009. "Shipping Derivatives and Risk Management," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-23580-9.
    14. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
    15. Aror O S Ådland & Steen Koekebakker, 2004. "Market Efficiency in the Second-hand Market for Bulk Ships," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 6(1), pages 1-15, March.
    16. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
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    Cited by:

    1. Fan, Lixian & Gu, Bingmei & Yin, Jingbo, 2021. "Investment incentive analysis for second-hand vessels," Transport Policy, Elsevier, vol. 106(C), pages 215-225.

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