Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74685
Title: Financial performance evaluation of shipping companies using entropy and grey relation analysis
Authors: Lee, PTW
Lin, CW
Shin, SH 
Keywords: Container shipping
Entropy
Financial ratio analysis
Grey relation analysis
Issue Date: 2018
Publisher: Springer
Source: International series in operations research and management science, 2018, v. 260, p. 219-247 How to cite?
Journal: International series in operations research and management science 
Abstract: The international trade of Korea and Taiwan has been heavily dependent upon international sea transportation owing to geo-political aspects. Therefore, the two countries have promoted ocean-going shipping industry in order to support their export-oriented economies. Recent financial crisis in together with the economic slowdown has reduced seaborne trade cargoes, which resulted in remarkably deteriorated revenues of the container shipping sector. Major container shipping companies of both countries such as Evergreen, Yang Ming, Hyundai, and Hanjin under our study are no exception. This chapter aims to achieve two-fold aims. The first applies Entropy to find the relative weights of financial ratios of the four companies each year. In so doing, we can find the weights variance for the period of 1999–2009 based on the financial performance of the above companies. The second aim is to evaluate financial performance of the companies in the period by grey relation analysis. The findings in this chapter help shipping managers to mitigate impacts of the financial crisis on their companies.
URI: http://hdl.handle.net/10397/74685
ISSN: 0884-8289
DOI: 10.1007/978-3-319-62338-2_9
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