Economic Modelling of Shipping Markets

Short Description/Aims

Provides a discussion of advanced statistical concepts and an introduction to economic modeling and market analysis in transportation, shipping and logistics. The course offers to participants the basic business modelling tools, skills and experience necessary to begin conducting empirical research in shipping. A hands-on approach is followed, where empirical assessment methods require students to use real market data in statistical software and enable them to implement the most applicable quantitative methods in maritime transport.

Learning Outcomes

By the end of the course, participants will be able to develop/appraise/analyse/implement:

  • Statistical tools and methods in the day-to-day shipping business practice
  • Regression and forecasting time-series techniques
  • Quantitative techniques and models to transportation and logistics problems
  • Empirical techniques employed to actual maritime-related market data
  • Rigorous analysis of shipping markets
  • Computer based statistical analysis with shipping data

 

Course Outline

  • Introduction to modelling maritime economic variables
  • Freight rate determination
  • Modelling shipping company’s stock returns and risk factors
  • The information efficiency of shipping markets
  • Modelling vessel prices
  • Forecasting shipping rates
  • Cross-effects between freight and commodity markets
  • Determination of hedge ratios in shipping derivatives

 

Teaching & Learning Methods

  • Classroom activities: teaching, case study discussions, presentations
  • Computer sessions: seminars and tutorials

Who should attend

The seminar can be attended by maritime analysts, maritime economists, traders, risk managers, ship managers, operations managers, ship brokers, financial analysts, shipping fund investors, as well as postgraduate students

Additional Information

Use of real maritime data in a software (Eviews)

Course length

5 days

EC Credit

2.5 EC

Mode of Delivery

Open Enrollment