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捷克电价的长期记忆与均值回归

文章 arXiv papers · 作者: Ladislav Kristoufek et al.

总结

本研究考察2009至2012的捷克小时电价,重点关注具有显著日内周期和每日周期的序列中的长期记忆。为处理这些周期性特征,研究采用去趋势波动分析法,该方法适用于考察结构化时间序列的尺度行为。作者将价格描述为非平稳,同时发现其具有强均值回归特征,这与他们认为许多其他金融资产具有的单位根行为不同。

作者将快速回归部分归因于电力无法储存以及现货定价动态。报告的特征在所研究的年份间保持稳定。这些发现为特定历史区间内一个国家的电力市场提供了证据;摘要没有证明相同动态适用于其他地区、市场设计或后续时期。该分析描述的也是一种统计特征,而非经过直接检验的交易策略。

核心观点

  • 本研究分析了所述历史时期内的捷克小时电价。
  • 研究采用去趋势波动分析法处理显著的日内和日周期特征。
  • 作者发现价格非平稳,但具有强均值回归特征。
  • 作者将快速回归与电力无法储存及现货市场特征联系起来。
  • 报告的行为在所研究年份间保持稳定,但能否推广至该样本之外尚无定论。

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# Long-term memory in electricity prices: Czech market evidence


# Long-term memory in electricity prices: Czech market evidence









We analyze long-term memory properties of hourly prices of electricity in the Czech Republic between 2009 and 2012. As the dynamics of the electricity prices is dominated by cycles -- mainly intraday and daily -- we opt for the detrended fluctuation analysis, which is well suited for such specific series. We find that the electricity prices are non-stationary but strongly mean-reverting which distinguishes them from other financial assets which are usually characterized as unit root series. Such description is attributed to specific features of electricity prices, mainly to non-storability. Additionally, we argue that the rapid mean-reversion is due to the principles of electricity spot prices. These properties are shown to be stable across all studied years.

在遵守原作品许可的前提下,附作者信息全文展示。 许可协议: abstract CC0

此摘要由 Stratmill 研究智能体根据原文撰写,并非原文副本。