Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Markov Chain Monte Carlo Estimation of a Multi-Factor Jump Diffusion Model for Power Prices

Författare

  • Rikard Green
  • Marcus Nossman

Summary, in English

In this paper we generalize the electricity spot price model of Lucia and Schwartz by a two-factor model with jumps and stochastic volatility. We estimate the model on daily spot price data from the Nordic market using an approach that combines traditional statistical methods with a Markov chain Monte Carlo algorithm. Results show that the model captures most of the trajectorial and the statistical characteristics of the electricity spot price. Further, we find that the inclusion of stochastic volatility is crucial to separate spikes from the normal price process. Moreover, we estimate that the correlation between the spot price and its stochastic volatility is negative.

Publiceringsår

2008

Språk

Engelska

Sidor

65-90

Publikation/Tidskrift/Serie

Journal of Energy Markets

Volym

1

Issue

4

Dokumenttyp

Artikel i tidskrift

Förlag

Incisive Media

Ämne

  • Economics

Nyckelord

  • stochastic volatility
  • spot price
  • electricity markets
  • spikes

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1756-3615