Volatility transmission and volatility impulse response functions in European electricity forward markets

被引:36
|
作者
Le Pen, Yannick [1 ]
Sevi, Benoit [2 ,3 ,4 ]
机构
[1] Univ Nantes, Inst Econ & Management Nantes IAE, F-44322 Nantes 3, France
[2] Univ Angers, Univ Angers GRANEM, Fac Droit Econ & Gest, F-49036 Angers 01, France
[3] Univ Nantes, LEMNA, F-44322 Nantes 3, France
[4] Bordeaux Management Sch CEREBEM, Bordeaux, France
关键词
Volatility impulse response function; GARCH; Non-Gaussian distributions; Electricity market; Forward markets; INTERNATIONAL STOCK MARKETS; GARCH MODELS; NATURAL-GAS; CONDITIONAL HETEROSKEDASTICITY; REALIZED VOLATILITY; PRICE VOLATILITY; METEOR-SHOWERS; ECONOMIC VALUE; INDEX FUTURES; SPOT MARKETS;
D O I
10.1016/j.eneco.2009.12.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
Using daily data from March 2001 to June 2005, we estimate a VAR-BEKK model and find evidence of return and volatility spillovers between the German, the Dutch and the British forward electricity markets. We apply Hafner and Herwartz [2006, Journal of International Money and Finance 25, 719-740] Volatility Impulse Response Function (VIRF) to quantify the impact of shock on expected conditional volatility. We observe that a shock has a high positive impact only if its size is large compared to the current level of volatility. The impact of shocks are usually not persistent, which may be a consequence of the non-storability of power. Finally, we estimate the density of the VIRF at different forecast horizons. These fitted distributions are asymmetric and show that large increases in expected conditional volatilities are possible even if their probability is low. These results have interesting implications for market participants whose risk management policy depends on option prices which themselves depend on the characteristics of volatility. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:758 / 770
页数:13
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