This article proposes a framework for a daily container freight index (DCFI) and investigates a number of principles in the design of this type of indices. Based on a comparative analysis with the existing container freight indices, we explore a method of integrating the framework with the use of data from e-booking platforms and illustrate why the new index can provide more insightful information for shippers. We also apply the framework to have a daily Shanghai container freight index by combining data sources from the platforms linked to the Shanghai port. By implementing the index to a risk analysis problem, we use numerical results to show the DCFI’s potential position in real hedging problems for container liner markets.


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    Title :

    Container liner freight index based on data from e-booking platforms


    Contributors:

    Published in:

    Publication date :

    2018-08-18


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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