FORECASTING THE HYDROCARBONS MARKETS
| Title | ΤΕΧΝΙΚΕΣ ΠΡΟΒΛΕΨΗΣ ΣΤΙΣ ΑΓΟΡΕΣ ΥΔΡΟΓΟΝΑΝΘΡΑΚΩΝ / FORECASTING THE HYDROCARBONS MARKETS |
| Code | HGD-3Y2 |
| Interdepartmental Programme | Hydrocarbon Exploration and Exploitation |
| Collaborating Schools | Geology Department of Economic of the Democritus University of Thrace |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Periklis Gkogkas |
| Common | No |
| Status | Active |
| Course ID | 600016574 |
Programme of Study: Hydrocarbon Exploration and Exploitation
Registered students: 4
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 4 | 2 | 2 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Instructors from Other Categories | |
| Weekly Hours | 2 |
| Total Hours | 26 |
| Class ID | 600268914
|
Course Type 2021
General Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600268914
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
Learning the principles of the market and the factors affecting the demand and supply of goods and services, and the correlation with the oil market.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
Course Content (Syllabus)
Introduction to the Markets (General introduction to the functions of markets, Factors that affect the demand and supply of goods and services). Money and Capital Markets (Introduction to the operation of modern financial systems and money, capital markets. Bonds, interest rates, money markets). The oil markets (Exchange rates and their importance in the oil market, the structure of oil markets, Similarities and differences with other financial markets). Forecasting (The problem of prediction in general, Predictive direction, Point forecasts, Static forecasts, Dynamic forecasts, and Forecast evaluation). Forecasting Models (Univariate and multivariate models, Autoregressive models, Structural models, Hypothesis testing, Statistical significance of models, Practical use of forecasts). State-of-the-Art Models [Markets and RandomWalks, Random walk with drift, Univariate regressions, Multivariate regressions, Logit Regression, Probit Regression, Vector Auto-regressions, Support Vector Machines binary, Support Vector Regression, Machine learning applications (Neural Neighborhood Classifiers), Econometric Software, Graph Theory and Threshold-Minimum Dominating Set, Deep Learning].
Educational Material Types
- Notes
- Slide presentations
- Multimedia
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 35 | 1.4 | ✓ | ||
| Reading Assigment | 15 | 0.6 | ✓ | ||
| Written assigments | 10 | 0.4 | ✓ | ||
| Total | 60 | 2.4 |
Student Assessment
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
Διατίθεται η πρόσφατη/ενημερωμένη βιβλιογραφία του αντικειμένου στην ηλεκτρονική βιβλιοθήκη του ΔΠΜΣ. Οι μετ. φοιτητές έχουν πρόσβαση στην ηλεκτρονική βιβλιοθήκη 24/7 με κωδικό που τους δίνεται με την εγγραφή του στο ΔΠΜΣ.
Last Update
18-03-2024
