Container Ship Investment Based on Real Option

Article Preview

Abstract:

This study investigates liner companies' timing of investment and sealing up container ships based on real option theory. The Dixit model is adopted to find out a pair of trigger prices for entry and exit with the assumption freight rate obey Geometric Brownian Motion. More new ship-building orders and entrants lead to lower future freight rate in the oligopoly liner shipping market. This model is tested empirically basic on the data of a 9000 TEU container ship on Far East-Europe route and the result is positive comparing to the number of ship orders. Liner companies' should make decision base on the freight of the ship in operation. Therefore, ship investment should be made at the new ship order trough and freight trough.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4557-4561

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Frankel, Ernst G, Management and operations of American shipping, Auburn House, (1982).

Google Scholar

[2] Ruiqin Shao, Summary of international shipping investment, Journal of transportation engineering, 4(2003)116-120.

Google Scholar

[3] Bendall H B., Stent A F, Ship investment under uncertainty: Valuing a real option on the maximum of several strategies, Maritime Economics & Logistics, 7(2005)19-35.

DOI: 10.1057/palgrave.mel.9100122

Google Scholar

[4] Ruiqin Shao. Study of international ship investment theory, Tongji University, (2005).

Google Scholar

[5] Yaoding Li. Ship investment under uncertainty, Shanghai maritime university, (2007).

Google Scholar

[6] Jing Lv, Xiaoxing Gong, Linda Yang, Study of ship investment based on real option, Journal of chongqing jiaotong university, 9(2010)474-479.

Google Scholar

[7] Shiyan Zhen. Study on Investment Decision about Dry Bulk and Oil Ship under Stochastically Fluctuating Shipping Markets, Shipbuilding of China, 1(2011) 225-234.

Google Scholar

[8] Zannetos Z S, The theory of oil tankship rate, Massachusetts Institute of technology, (1953).

Google Scholar

[9] Berg-ANDREASSEN J A, Some properties of international maritime statistics, Maritime Policy and Management, 23(1996)381-395.

DOI: 10.1080/03088839600000096

Google Scholar

[10] KAWSSANOS M G, NOMIKOS N K, The forward pricing function of the freight futures market, The journal of futures markets, 3(1999)353-376.

DOI: 10.1002/(sici)1096-9934(199905)19:3<353::aid-fut6>3.0.co;2-6

Google Scholar

[11] Dixit, A, Entry and exit decisions under uncertainty, Journal of Political Economy, 3(1989) 620-638.

DOI: 10.1086/261619

Google Scholar

[12] Christa Sys, Is the container liner shipping industry an oligopoly?, Transport Policy, 16(2009) 259-270.

DOI: 10.1016/j.tranpol.2009.08.003

Google Scholar

[13] Theo E. Notteboom, Bert Vernimmen, The effect of high fuel costs on liner service configuration in container shipping, Journal of Transport Geography, 5(2008)1-13.

DOI: 10.1016/j.jtrangeo.2008.05.003

Google Scholar

[14] Theo Notteboom, Pierre Cariou, Bunker Costs in Container Liner Shipping: Are Slow Steaming Practices Reflected in Maritime Fuel Surcharge?, Shipping Intermodalism & Ports-ECONSHIP 2011, Chios, Greece, June (2011).

DOI: 10.1108/ijlm-05-2013-0055

Google Scholar

[15] Mingliang Wang, The Suez canal cost and saving measures, Containerization, 5(2012)1-4.

Google Scholar

[16] Lo Andrew W, Maximum Likelihood Estimation of Generalized Ito Processes with Discretely- Sampled Data, Econometric Theory, 4(1988)231-247.

DOI: 10.1017/s0266466600012044

Google Scholar