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Executive Education: Open Programmes

Scenarios and Forecasting of Energy Commodities
Dr Vlasios Voudouris, Affiliate Professor and European Academic Director of the Executive Master in Energy Management
Short programme
Duration: 2 days
Language: English
Campus: London
Dates: May 2018

Taught by:

Dr Vlasios Voudouris
Affiliate Professor and European Academic Director of the Executive Master in Energy Management

All enquiries:

Francesco Morrone

Deputy Head of Executive Education
Mobile: +44 (0)7702 930635
Office: +44 (0)20 7443 8816
Email

Description


For commodity strategists and risk professionals, the benefits of developing 'realistic' methods for energy commodities are substantial. The key objective of our state-of-the-art course 'Scenarios and Forecasting of Energy Commodities' is to give participants insight on the latest conceptual frameworks and transferable technical skills for both long- and short-term analytics of energy commodity fundamentals and prices.

Audience


Executives, consultants and professionals involved in energy trading and/or long-term investment decision and strategic planning who are willing to sharpen their expertise in the field of energy commodities.

Average participants in class: 10

Admission Criteria


All enquiries:

Francesco Morrone
Deputy Head of Executive Education
Mobile: +44 (0)7702 930635
Office: +44 (0)20 7443 8816
Email

Academic Direction


Dr. Vlasios Voudouris
is the CEO of ABM Analytics Ltd. He is an Affiliate Professor (energy & commodities) at ESCP Europe's London campus, where he contributes to the Research Centre for Energy Management (RCEM), teaches on the Master in Energy Management and various Executive programmes. He is the European Academic Director of the Executive Master in Energy Management.

He is best known for his work on agent-based, fundamentally driven models that focus on energy & commodities market dynamics to support risk-adjusted investments decisions in energy & commodities.

Vlasios obtained his BA in Economics from the Aristotle University of Thessaloniki (Greece) and his MSc and PhD from City University London (UK). He has published numerous articles in academic journals and professional magazines with a focus on energy policy, oil and gas markets, scenario analysis, agent-based models, applied econometrics, business forecasting and risk management. Vlasios is also co-Editor of the Oil and Gas Prospects SI at the Energy Policy Journal and co-Editor of the book Global Energy Policy and Security, published by Springer.

Vlasios also contributes to world-impacting events such as focused roundtable discussions organised by Chatham House and the Pacific Energy Summmit following the invitation by the US National Bureau of Asian Research. He led the policy report Investment opportunities in Greece: Oil, gas, electricity and renewables for KEPE (under the Ministry of Regional Development and Competitiveness) while contributing at the House of Commons Energy and Climate Change Select Committee inquiry The UK's Energy Supply: Security or Independence?

Fees and financing


Registration fee for participants is £2,500.
Early bird discount 10% applicable until the end of April.
Discounts for PhD students available upon request.

Category

Discount

B2B

10%

ESCP Europe Alumni

10%


Key points
  1. Developing flexible regression models for short-term forecasting
  2. Semi-Parametric and Non-Parametric quantile regression methods
  3. Time-varying parameters models for smoother changes over time
  4. Energy scenario building blocks for long-term outlooks
  5. Development of global scenario projections

The main application areas considered are:

  1. spot oil prices/future contracts; and
  2. gas & oil demand and production dynamics for 216 countries around the world

The computer workshops will use the R software for statistical computing for short-term forecasts, and the ACEGES model for long-term scenarios. All required course materials will be distributed as the course progresses.

Content


Learning Outcomes

This workshop will enhance your capability to develop and use state-of-the art methods for long-term scenarios and short-term forecasts of energy commodity in your organisation and/or develop your consulting skills in energy commodities. 


Pedagogical Approach
The course is organised as a problem-based workshop wherein learning activities are structured in response to a specific real-world problem or task. Through this, the course gives participants the opportunity to develop both subject-specific and transferable skills. As a result of the problem-based learning approach, leading-edge modelling techniques are presented in an intuitive way with the minimum of theoretical statistics and mathematics.

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