Published March 2019 | Version v1
Journal article

A branching process approach to power markets

  • 1. Université Claude Bernard-Lyon 1, Institut de Science Financier et d'Assurances (France)
  • 2. Nankai University, School of Mathematical Sciences (China)
  • 3. Université Paris Diderot-Paris 7, Laboratoire de Probabilités et Modèles Aléatoires (France)
  • 4. Politecnico di Milano, Dipartimento di Matematica (Italy)

Description

Highlights: • A new model for power prices including the jumps clustering features • Some explicit valuation formulas for the basic derivatives contracts in the modeling framework proposed • A risk premium analysis for the model introduced with a comparison with previous models • A statistical analysis supporting the modeling approach proposed -- Abstract: We propose and investigate a market model for power prices, including most basic features exhibited by previous models and taking into account self-exciting properties. The model proposed extends Hawkes-type models by introducing a twofold integral representation property. A Random Field approach was already exploited by Barndorff-Nielsen et al., who adopted the Ambit Field framework for describing the power price dynamics. The novelty contained in our approach consists of combining the basic features of both Branching Processes and Random Fields in order to get a realistic and parsimonious model setting. We shall provide some closed-form evaluation formulae for forward contracts. We discuss the risk premium behavior, by pointing out that in the present framework, a very realistic description arises. We outline a possible methodology for parameters estimation. We illustrate by graphical representation the main achievements of this approach.

Additional details

Identifiers

DOI
10.1016/j.eneco.2018.03.002;
PII
S0140988318300811;

Publishing Information

Journal Title
Energy Economics
Journal Volume
79
Journal Page Range
p. 144-156
ISSN
0140-9883
CODEN
EECODR

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55014465
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COMPUTERIZED SIMULATION; CONTRACTS; MARKET; PRICES; RANDOMNESS
Descriptors DEC
SIMULATION

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.