A model for energy pricing with stochastic emission costs
- 1. School of Mathematics, University of Adelaide, Adelaide, South Australia, 5005 (Australia)
- 2. Haskayne School of Business University of Calgary, 2500 University Dr. NW Calgary, AB, T2N 1N4 (Canada)
- 3. Rotman School of Management, University of Toronto, 105 St. George Street, Toronto, M5S 3E6 (Canada)
- 4. Department of Finance and Real Estate, College of Business, Colorado State University, 1272 Campus Delivery, Fort Collins, CO 80523 (United States)
Description
We use a supply-demand approach to value energy products exposed to emission cost uncertainty. We find closed form solutions for a number of popularly traded energy derivatives such as: forwards, European call options written on spot prices and European Call options written on forward contracts. Our modeling approach is to first construct noisy supply and demand processes and then equate them to find an equilibrium price. This approach is very general while still allowing for sensitivity analysis within a valuation setting. Our assumption is that, in the presence of emission costs, traditional supply growth will slow down causing output prices of energy products to become more costly over time. However, emission costs do not immediately cause output price appreciation, but instead expose individual projects, particularly those with high emission outputs, to much more extreme risks through the cost side of their profit stream. Our results have implications for hedging and pricing for producers operating in areas facing a stochastic emission cost environment.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.eneco.2009.11.001Additional details
Identifiers
- DOI
- 10.1016/j.eneco.2009.11.001;
- PII
- S0140-9883(09)00203-5;
Publishing Information
- Journal Title
- Energy Economics
- Journal Volume
- 32
- Journal Issue
- 4
- Journal Page Range
- p. 838-847
- ISSN
- 0140-9883
- CODEN
- EECODR
Conference
- Title
- International workshop on policymaking benefits and limitations from using finanical methods in modelling in electricity markets
- Dates
- 9-10 Jul 2008
- Place
- Oxford (United Kingdom)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 42000376
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CONTRACTS; COST; EMISSIONS TAX; HAZARDS; MATHEMATICAL SOLUTIONS; PRICES; SENSITIVITY ANALYSIS; SIMULATION; STOCHASTIC PROCESSES; SUPPLY AND DEMAND
- Descriptors DEC
- TAXES
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.