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How does market architecture affect price dynamics? A time series analysis of the Italian day-ahead electricity prices

机译:市场架构如何影响价格动态?意大利日前电价的时间序列分析

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摘要

How do changes in the market architecture affect the dynamics of deregulated electricity prices? We investigate this issue in the context of the Italian Power Exchange (IPEX), using data on the daily average day-ahead price (PUN) between April 2004 and December 2008. Estimates of baseline time series models (ARMAX and ARMAX-EGARCH) and their forecasting performances suggest that the trend in natural gas prices, deterministic weekly patterns, the impact of perceived temperatures, persistence in conditional volatility and the inverse leverage effect are essential features of the PUN dynamics. We then augment the best-performing models with dummies that account for changes in the market architecture, such as the introduction of contracts for differences (CfDs) to support renewables, trading of white certificates for energy efficiency, and the demandside liberalization. The findings show that changes in the market architecture have only affected the PUN volatility. Specifically, CfDs have mitigated volatility, while white certificates and demand liberalization have increased it. Moreover, after controlling for reforms the inverse leverage effect vanishes, and the persistence in volatility is lower than in the baseline estimates.
机译:市场架构的变化如何影响放宽电价的动态?我们使用2004年4月至2008年12月之间的每日平均每日超前价格(PUN)的数据,在意大利电力交易所(IPEX)的背景下进行了调查。基线时间序列模型(ARMAX和ARMAX-EGARCH)的估计值和他们的预测结果表明,天然气价格趋势,确定性每周模式,感知温度的影响,条件波动的持续存在以及反向杠杆效应是PUN动态的基本特征。然后,我们使用能够应对市场架构变化的虚拟模型来扩充性能最佳的模型,例如引入差异合同(CfDs)以支持可再生能源,交易白色证书以提高能效以及需求方自由化。调查结果表明,市场架构的变化仅影响了PUN的波动性。具体而言,CfD缓解了波动,而白色证书和需求自由化加剧了波动。此外,在控制了改革之后,反向杠杆效应消失了,波动率的持久性低于基线估计值。

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