Modeling the return and volatility of the Greek electricity marginal system price
Creators
- 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.2008.03.009Additional 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.