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An analysis of freight rate volatility in dry bulk shipping markets

Jing, Lu, Marlow, Peter Bernard and Hui, Wang 2008. An analysis of freight rate volatility in dry bulk shipping markets. Maritime Policy & Management 35 (3) , pp. 237-251. 10.1080/03088830802079987

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Abstract

The world bulk shipping market has been in a peak period since 2003, and this has lasted an incredibly long time considering that the markets are much more complex than before. This paper investigates the characteristics of volatility in dry bulk freight rates of different vessel sizes (capesize, panamax and handysize). The daily returns of freight rate indices of three different types of bulk vessel in the sample period have been examined. The sample period ran from 1 March 1999 to 23 December 2005, and applying the GARCH (generalized auto regressive conditional heteroskedasticity) model showed that the shocks will not decrease but have the tendency to strengthen for all the daily return series. Further, external shocks on the market have a different magnitude of influence on volatility in different types of vessels due to their distinct flexibility. To examine the asymmetric characters of daily return volatility in different bulk shipping sectors and different market conditions, the sample was divided into two periods: one is from 1 March 1999 to 31 December 2002, the other is from 1 January 2003 to 23 December 2005; the EGARCH (exponential generalized auto regressive conditional heteroskedasticity) model was then applied to investigate the asymmetric impact between past innovations and current volatility. The results show that the asymmetric characters are distinct for different vessel size segments and different market conditions. The reasons for the results are discussed and it is considered that the main reasons may be the different flexibility and different commodity transport on different routes. The results from this investigation will be useful for the operators and investors in the dry bulk shipping market to increase profitability and reduce investment risk.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > HE Transportation and Communications
H Social Sciences > HG Finance
Publisher: Taylor and Francis
ISSN: 0308-8839
Last Modified: 04 Jun 2017 03:11
URI: http://orca-mwe.cf.ac.uk/id/eprint/17794

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