Modelling energy spot prices by volatility modulated Levy-driven Volterra processes

被引:70
作者
Barndorff-Nielsen, Ole E. [1 ,2 ]
Benth, Fred Espen [3 ]
Veraart, Almut E. D. [4 ]
机构
[1] Aarhus Univ, Thiele Ctr, Dept Math Sci & CREATES, Dept Econ & Business, Ny Munkegade 118, DK-8000 Aarhus C, Denmark
[2] Tech Univ Munich, Inst Adv Study, D-85748 Garching, Germany
[3] Univ Oslo, Ctr Math Applicat, N-0316 Oslo, Norway
[4] Univ London Imperial Coll Sci Technol & Med, Dept Math, London SW7 2AZ, England
基金
新加坡国家研究基金会;
关键词
energy markets; forward price; generalised hyperbolic distribution; Levy semistationary process; Samuelson effect; spot price; stochastic integration; stochastic volatility; volatility modulated Levy-driven Volterra process; BROWNIAN SEMISTATIONARY PROCESSES; FUNDAMENTAL THEOREM; MOVING AVERAGES; REPRESENTATIONS; DISTRIBUTIONS;
D O I
10.3150/12-BEJ476
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper introduces the class of volatility modulated Levy-driven Volterra (VMLV) processes and their important subclass of Levy semistationary (LSS) processes as a new framework for modelling energy spot prices. The main modelling idea consists of four principles: First, deseasonalised spot prices can be modelled directly in stationarity. Second, stochastic volatility is regarded as a key factor for modelling energy spot prices. Third, the model allows for the possibility of jumps and extreme spikes and, lastly, it features great flexibility in terms of modelling the autocorrelation structure and the Samuelson effect. We provide a detailed analysis of the probabilistic properties of VMLV processes and show how they can capture many stylised facts of energy markets. Further, we derive forward prices based on our new spot price models and discuss option pricing. An empirical example based on electricity spot prices from the European Energy Exchange confirms the practical relevance of our new modelling framework.
引用
收藏
页码:803 / 845
页数:43
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