Published July 2008 | Version v1
Journal article

Modeling the return and volatility of the Greek electricity marginal system price

  • 1. Department of Economics, Athens University of Economics and Business, 76, Patission Street, 104 34 Athens (Greece)
  • 2. School of Economics, Mathematics and Statistics, Birkbeck, University of London (United Kingdom)

Description

Traditional cost based optimization models (WASP) for expansion planning do not allow for mark-to-market valuation and cannot satisfy arbitrage free requirements. This work will fill this gap by developing and estimating models for mark-to-market valuation. Furthermore the present paper examines the return and volatility of the newly born Greek's electricity market's marginal system price. A detailed description of the market mechanism and regulation is used to describe how prices are determined in order to proceed with return and volatility modeling. Continuous time mean reverting and time varying mean reverting stochastic processes have been solved in discrete time processes and estimated econometrically along with ARMAX and GARCH models. It was found that GARCH model gave much better estimation and forecasting ability. Strong persistence in mean has been found giving suspicions of market inefficiency and strong incentives for arbitrage opportunities. Finally, the change in the regulatory framework has been controlled and found to have significant impact

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2008.03.009

Additional details

Identifiers

DOI
10.1016/j.enpol.2008.03.009;
PII
S0301-4215(08)00131-6;

Publishing Information

Journal Title
Energy Policy
Journal Volume
36
Journal Issue
7
Journal Page Range
p. 2601-2609
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40019201
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COST; ELECTRIC POWER; ENERGY DEMAND; MARKET; OPTIMIZATION; PLANNING; PRICES; REGULATIONS; SIMULATION; STOCHASTIC PROCESSES; VOLATILITY
Descriptors DEC
DEMAND; LAWS; POWER

Optional Information

Copyright
Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.