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Maritime & Trade Hong Kong Briefing

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Oct 10, 2017
Hong Kong

Join IHS Markit as we discuss the latest developments in global shipping and international trade at the China Club, Hong Kong.

IHS Markit is presenting the Maritime & Trade Briefing in Hong Kong on October 10, 2017.

Join our Maritime & Trade experts on Tuesday 10th October at the China Club in Hong Kong as we review the latest port infrastructure and investment developments, latest changes in ship financing and utilizing trade data intelligence to predict company performance based on shipment volumes and develop a trading strategy. Below is a summary of each of the main session.

Port Infrastructure and Investments - Factors changing the dynamics of profit, margin and risk in port and container terminal investments
While handling demand is firming, the persistent problem of overcapacity and associated challenges with profitability continues to underpin a search for greater economies of scale for liner shipping companies. IHS Markit will highlight the structural changes and changing shape of investment returns to come.

Securities and Equities – Intelligence to support investment decisions on public traded securities
To support investment decisions we will explore specific examples around how trade data and volume movements can show correlations that can drive these decisions for publically traded securities.

In this session you can learn how IHS Markit and its partners are using detailed bill of lading data to predict company performance based on shipment volumes and develop a trading strategy.

Specific topics will be:

  • Individual Company Analysis – Follow specific companies and their trading volumes closely to be able to understand correlation to company performance
  • Group companies into sectors (ie: consumer non-durables) to understand performance over time of a given sector
  • Short/Long Earnings Strategy – See examples of short/long earnings strategies derived from the data
  • Data Sourcing and Cleansing – See how IHS Markit rigorously cleanses data to become usable to financial institutions
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