Risk Factors in Energy Utility Returns: An Augmented-Four-Factor Model

Eucers Newsletter, D. Tulloch, I. Diaz‐Rainey
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Abstract

In this paper we utilise the risk factors from both the finance and energy economics literatures to develop an improved asset pricing model (the Augmented-Four-Factor Model or AFFM) in the context of the European energy utility sector. In addition, we undertake inter-sectoral and inter-temporal analyses using the risk factors in our AFFM. Our results show our AFFM captures the greatest proportion of returns relative to other models. Further, stock market risk factors (most notably the market, size, value and momentum premia) explain a much greater proportion of average returns than term and commodity risk factors. Our inter-sectoral results show that, relative to other sectors, energy utilities are defensive stocks over the period analysed (1996 to 2013). However, our inter-temporal analysis shows that market beta has been increasing through time, from 0.710 in 1996 to 1.037 in 2013; the European energy utility sector is becoming increasingly exposed to systematic risk. Further, despite regulatory changes, designed to counteract the dominance of big energy utilities, the size premium has increased over time. Finally, the value and momentum premia are evident one to two years after the three EU energy sector liberalisation packages of 1996 and 1998, 2003, and 2009. In particular, the energy sector becomes extremely distressed following the third liberalisation package.
能源公用事业收益中的风险因素:一个增强的四因素模型
在本文中,我们利用金融和能源经济学文献中的风险因素,在欧洲能源公用事业部门的背景下开发了一种改进的资产定价模型(增强四因素模型或AFFM)。此外,我们利用AFFM中的风险因素进行跨部门和跨时间的分析。我们的结果表明,相对于其他模型,我们的AFFM捕获了最大比例的回报。此外,股市风险因素(最明显的是市场、规模、价值和动量溢价)比期限和商品风险因素在平均回报中所占的比例要大得多。我们的跨部门结果显示,相对于其他行业,在分析期间(1996年至2013年),能源公用事业公司是防御性股票。然而,我们的跨期分析表明,随着时间的推移,市场贝塔系数一直在增加,从1996年的0.710到2013年的1.037;欧洲能源公用事业部门正日益暴露于系统性风险之下。此外,尽管监管变化旨在抵消大型能源公用事业公司的主导地位,但规模溢价随着时间的推移而增加。最后,在1996年和1998年、2003年和2009年三个欧盟能源行业自由化一揽子计划实施一到两年之后,价值和势头溢价就很明显了。特别是,能源行业在第三轮自由化之后变得极度痛苦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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