Energy markets volatility modelling using GARCH

A-Tier
Journal: Energy Economics
Year: 2014
Volume: 43
Issue: C
Pages: 264-273

Authors (2)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper investigates the empirical properties of oil, natural gas, and electricity price volatilities using a range of univariate and multivariate GARCH models and daily data from wholesale markets in the United States for the period from 2001 to 2013. The key contribution to the literature is the estimation of trivariate BEKK and DCC models that allow us to observe spillovers and interactions among energy markets. We evaluate and compare the performance of univariate and multivariate models with a range of diagnostic and forecast performance tests, and assess forecasting performance and conditional correlation dynamics.

Technical Details

RePEc Handle
repec:eee:eneeco:v:43:y:2014:i:c:p:264-273
Journal Field
Energy
Author Count
2
Added to Database
2026-01-29