IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v33y2006i5p497-518.html
   My bibliography  Save this article

Price and volume dynamics in second-hand dry bulk and tanker shipping markets

Author

Listed:
  • Theodore Syriopoulos
  • Efthimios Roumpis

Abstract

The relationship between trading volume, prices and return volatility is thoroughly investigated in different second-hand dry bulk and tanker market segments. The objective is to gain fruitful insight on the sale and purchase market dynamics, and the sensitivity of vessel price movements following the arrival of new information signals in the shipping markets. Contemporaneous relationships are identified between returns and volume, particularly in the markets of handysize and panamax bulks as well as of handysize and aframax tankers. Price changes are found to have an impact on trading volume indicating that expectations to higher capital gains induce increases in trading activity. Volume appears to have a negative impact on the volatility of price changes mainly in the dry bulk market; this may be due to thin trading, limited transaction transparency and absence of vessel price quotes. The empirical findings can contribute to a better understanding of shipping markets’ microstructure and price volatility dynamics by market participants. This, in turn, can be useful for investors who construct their portfolios of real assets with a view to attain superior capital gains, controlling for the underlying investment risk.

Suggested Citation

  • Theodore Syriopoulos & Efthimios Roumpis, 2006. "Price and volume dynamics in second-hand dry bulk and tanker shipping markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(5), pages 497-518.
  • Handle: RePEc:taf:marpmg:v:33:y:2006:i:5:p:497-518
    DOI: 10.1080/03088830601020729
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088830601020729
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03088830601020729?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Phantratanamongkol, Supanan & Casalin, Fabrizio & Pang, Gu & Sanderson, Joseph, 2018. "The price-volume relationship for new and remanufactured smartphones," International Journal of Production Economics, Elsevier, vol. 199(C), pages 78-94.
    2. Adeyinka Adediran & Bola Babajide & Nataliia Osina, 2023. "Exploring the nexus between price and volume changes in the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 498-512, October.
    3. Alexandros M. Goulielmos, 2015. "The Multi-faceted Character of Risk in Maritime Freight Markets (Panamax) 1996-2012," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(1-2), pages 67-86, January-M.
    4. 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.
    5. Ching-Chih Chang & Tin-Chia Lai, 2011. "The nonlinear dynamic process of macroeconomic development by modelling dry bulk shipping market," Applied Economics Letters, Taylor & Francis Journals, vol. 18(17), pages 1655-1663.
    6. Görçün, Ömer Faruk, 2022. "A novel integrated MCDM framework based on Type-2 neutrosophic fuzzy sets (T2NN) for the selection of proper Second-Hand chemical tankers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    7. Zheng, Shiyuan & Lan, Xiangang, 2016. "Multifractal analysis of spot rates in tanker markets and their comparisons with crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 547-559.
    8. 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.
    9. Ching-Chih Chang & Tin-Chia Lai, 2011. "Nonlinear model for Panamax secondhand ship," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2193-2198.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:marpmg:v:33:y:2006:i:5:p:497-518. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.