Published July 2010 | Version v1
Journal article

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.2009.11.001

Additional 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.