Modelling Energy Markets using Stata

Date of Appearance: 
Jun 6, 2017
Duration of the course: 
Sep 18, 2017 to Sep 22, 2017
Application Deadline: 
Sep 15, 2017

Modelling Energy Markets using Stata

Date of Appearance: 
Jun 6, 2017
Duration of the course: 
Sep 18, 2017 to Sep 22, 2017
Application Deadline: 
Sep 15, 2017
TStat Training
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Course Details

Summer Schools
Credits or certification after course completion: 
A certificate of participation will be issued at the end of the course
Study Options: 
Full-Time Residential

Course Fees

Regular Fee: 
€2 020,00
International Student Fee: 
€1 030,00
Comment: 
Course fees depend on the participant's current status. More specifically, participation fees for the entire week (Modules A, B and C – 5 days) are: Students*: €1,030.00 Academic: €1,608.00 Government/Non-profit: € 1,814.00 Commercial: € 2020.00. Fees for Modules A and B (3 days) are as follows: Students*: €729.00 Academic: €1,126.00 Government/Non-profit: €1,272.00 Commercial: €1,418.00. Fees for Module B or C (2 days) are: Students*: €484.00 Academic: €766.00 Government/Non-profit: €862.00 Commercial: €958.00. *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. All fees are subject to VAT (applied at the current Italian rate of 22%). Please note that a non-refundable deposit of €100.00 for students and €200.00 for academic, government/nonprofit and commercial participants, is required to secure a place and is payable upon registration. The number of participants is limited to 20. Places will be allocated on a first come, first serve basis. Course fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the workshop); ii) a temporary licence of Stata valid for 30 days from the beginning of the workshop; iii) half board accommodation (breakfast, lunch and coffee breaks) in a single room at the Villa La Stella (4 nights for entire week, 2 nights for Modules A and B, 1 night for Module B or Module C). Participants requiring accommodation the day before the course beginning or the night of the final day of the school, are requested to contact us as soon as possible.

Location of Course

Location: 
Villa La Stella 
Via Jacopone da Todi, 12
50133 Florence
Italy

The trend in deregulation in energy markets worldwide has resulted in significant volatility, both in terms of price and demand, in international energy markets. The modelling and forecasting of both demand and pricing has therefore become of utmost importance, not only to energy producers themselves, but to commodity traders and financial analysts focusing on the energy sector. Moreover, the specific nature of energy data itself, which tends to follow periodic patterns and exhibit  non-constant means and variances, has resulted in the task of forecasting and modelling of energy data becoming somewhat challenging.

The objective of our  “Modelling Energy Markets in Stata” Summer School is therefore, to provide participants with the requisite toolset, both theoretical and applied, to enable them to correctly implement the appropriate statistical tools required for the modelling of both demand and prices in international energy markets. As such, the program has been developed to illustrate the range of available statistical tools currently available to researchers and practitioners, encompassing both: i) the more traditional univariate and multivariate time series regression approach to the modelling of price and demand in energy markets, focusing on the distributional properties, stationarity, seasonality and autocorrelated characteristics of energy time series data; and ii) univariate and multivariate GARCH models for the estimation and forecast of price volatility and risk management in energy markets.

Throughout the course of the week, theoretical sessions are reinforced by case study examples, in which the course tutors discuss current research issues, highlighting potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, course leaders are able to bridge the often difficult gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.

WHO SHOULD ATTEND? 

The course is of particulat interest to researchers and professionals working either: i) on trading desks in financial institutions or ii) in the energy and related sectors, needing to model energy pricing. Economists based in financial institutions. Students and researchers in engineering, econometrics and finance needing to learn the statistical tools and methodologies applied in this field.

 

SCHOOL PROGRAM

The summer school opens with an optional one-day introduction to Stata course to enable participants unfamiliar with the statistical software Stata to acquire the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats.

 

Prerequisites:

  • Introductory knowledge of econometrics and/or statistics.

Language Requirements: 
A working knowledge of English

Class Size: 
10 - 20 students

Average % of International Students: 
around 50%

Course Instructors/Professors:

  • Dr. Una-Louise Bell
  • Dr. Elisabetta Pellini
  • Prof. Giovanni Urga - CASE Business School

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