Training and Research
PhD Programme Courses/classes - 2020/2021
Academic writing in latex and academic presentation
Credits: 2,5
Language: Italian
Advanced English for Academic Skills
Credits: 2,5
Language: Italian
Agenda dell’organizzazione delle nazioni unite 2030 sullo sviluppo sostenibile, ricerca e diritto antidiscriminatorio: strumenti ed esperienze nelle università
Credits: 1
Language: Italian
Artificial intelligence, cybersecurity e diritto
Credits: 1
Language: Italian
Behavioral and Experimental Economics
Credits: 5
Language: Italian
Teacher: Luca Zarri, Simone Quercia, Maria Vittoria Levati
Comunicare la scienza: il ruolo dei ricercatori e il rapporto tra esperti, cittadini e istituzioni
Credits: 0,5
Language: Italian
Corporate Governance
Credits: 5
Language: Italian
Teacher: Alessandro Lai
Corso di inglese B1/certificazione B1
Credits: 2,5
Language: Italian
Corso di inglese B2/certificazione B2
Credits: 2,5
Language: Italian
Corso di inglese C1/certificazione C1
Credits: 2,5
Language: Italian
Corso di lingua italiana per stranieri
Credits: 2,5
Language: Italian
Corso di programmazione con matlab
Credits: 2
Language: Italian
Medical statistics with R
Credits: 3
Language: Italian
Basic statistics course
Credits: 2,5
Language: Italian
Intermediate statistics course
Credits: 2,5
Language: Italian
(Meta-analysis using the statistical software Stata and R
Credits: 1,5
Language: Italian
Corso teorico-pratico di microscopia di base
Credits: 1
Language: Italian
Development economics
Credits: 5
Language: Italian
Teacher: Federico Perali
Diritto d'autore e brevetti
Credits: 1
Language: Italian
Dissemination dei risultati della ricerca
Credits: 1
Language: Italian
Econometrics for management
Credits: 7,5
Language: Italian
Teacher: Diego Lubian, Francesca Rossi, Alessandro Bucciol
Economia dei Mercati Energetici
Credits: 5
Language: Italian
Teacher: Luigi Grossi
English for academic presentations
Credits: 2,5
Language: Italian
English for academic writing
Credits: 2,5
Language: Italian
Finanza
Credits: 5
Language: Italian
Teacher: Cecilia Mancini
Game Theory
Credits: 5
Language: Italian
Teacher: Francesco De Sinopoli
Inequality
Credits: 5
Language: Italian
Teacher: Francesco Andreoli, Claudio Zoli
Introduzione al “public speaking”
Credits: 1
Language: Italian
La mia archeologia e la mia politica culturale
Credits: 0,5
Language: Italian
Python programming language
Credits: 2,5
Language: Italian
Macro economics
Credits: 5
Language: Italian
Teacher: Michele Imbruno, Alessia Campolmi
Mathematics
Credits: 7,5
Language: Italian
Teacher: Letizia Pellegrini, Alberto Peretti
Microeconomics 1
Credits: 10,5
Language: Italian
Teacher: Tamara Fioroni, Claudio Zoli, Martina Menon
Organization Theory
Credits: 5
Language: Italian
Teacher: Cecilia Rossignoli
Political economy
Credits: 5
Language: Italian
Teacher: Emanuele Bracco, Roberto Ricciuti, Marcella Veronesi
Presentation of Horizon Europe framework programme
Credits: 1
Language: English
Probability
Credits: 7,5
Language: Italian
Teacher: Marco Minozzo
Project writing for beginners
Credits: 1
Language: Italian
Qualitative methodologies in management studies
Credits: 5
Language: Italian
Teacher: Cecilia Rossignoli, Riccardo Stacchezzini
Quantitative methodologies in management studies
Credits: 5
Language: Italian
Teacher: Riccardo Scarpa, Diego Begalli
Seminario Consigliera di fiducia
Credits: 1
Language: Italian
Software R
Credits: 2,5
Language: Italian
Teacher: Flavio Santi
Spin off e start-up innovative
Credits: 1
Language: Italian
Statistica
Credits: 7,5
Language: Italian
Teacher: Catia Scricciolo
Supply Chain Management
Credits: 5
Language: Italian
Teacher: Barbara Gaudenzi
Protecting psychological well-being in the PhD program: development and enhancement of personal strategies and attitudes that predispose to professional satisfaction and ethical collaboration.
Credits: 1
Language: Italian
Economia dei Mercati Energetici (2020/2021)
Teacher
Referent
Credits
5
Language
Italian
Class attendance
Free Choice
Location
VERONA
Learning outcomes
Purpose of the course
Energy Markets analysis could be carried out from different perspectives. The main idea behind this course would be to focus on the economics of energy markets and on related quantitative models based on linear and nonlinear processes for measuring and forecasting volumes and prices. The focus of the course will be on electricity markets, although reference will also be made to natural gas markets.
Some recent developments about the introduction of renewable sources on the electricity grid and to the economic feasibility of electricity storage will conclude the course.
The main goal of the course will be to illustrate methods and approaches with detailed examples using real data and to provide PhD students with a set of economic models and econometric-statistical tools to perform reliable and original analyses.
Prerequisites
PhD students should be familiar with basic notions of time series analysis and stochastic processes in discrete time and with elementary notions of industrial economics.
Basic knowledge from statistics and econometrics plus rudimentary experiences with data and numerical calculations will be helpful. Quantitative analysis will be performed by the freeware software R (http://cran.r-project.org/).
Program
Table of Content
1. Stylized facts of electricity prices
Price spikes: what determines spikes. Case studies.
Seasonality: determinants. Autocorrelation structure and frequency domain analysis.
Seasonal decomposition: moving average technique, spectral decomposition, rolling volatility technique.
Mean reversion: detrended fluctuation analysis, periodogram regression
Volatility clustering and leverage effect
2. Modelling electricity loads and prices
Factors affecting load patterns (demand side): time factors and weathers conditions. Analysis of weather variables.
Factors affecting prices (supply side): generation factors. The impact of renewables electricity sources.
ARIMA-type models
Regression models with exogenous regressors
GARCH models
Switching models
3. Forecasting and evaluation of forecasting performances
Forecasting loads and prices: selection of the best model
Assessing forecasting performances of alternative models: MAPE, MPE, Theil’s index, Diebold and Mariano test.
The rolling windows technique
Case studies
4. Further topics
Energy storage: the case of gas and electricity
Robust methods for energy prices and loads: implications on forecasting performances
Shift-share analysis of energy demand
Textbooks
For the statistical and econometric analysis of time series we recommend:
Hamilton J.D. (1994), "Time Series Analysis", Princeton University Press.
and for the statistical analysis of electricity markets
Bunn D.(Ed.) 2004, “Modelling Prices in Competitive Electricity Markets”, Wiley.
As main reference book for the course:
Weron R., (2006), "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach", Wiley.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Rafal Weron | Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach | Wiley, Chichester + CD-ROM | 2006 |
Examination Methods
Project Work
PhD school courses/classes - 2020/2021
PhD School training offer to be defined
Faculty
silvia.cavalieri@univr.it
tamara.fioroni@univr.it
michele.imbruno@univr.it
cecilia.mancini@univr.it
Manzoni Elena
elena.manzoni@univr.it
8783
0458028706
martina.menon@univr.it
0458028706
dora.renna@univr.it
Santi Flavio
flavio.santi@univr.it
045 802 8239
riccardo.scarpa@univr.it
marcella.veronesi@univr.it
PhD students
amiem.jobe@univr.it
enockdesmond.opoku@univr.it
andrea.xamo@univr.it
Loading...
