预测北池每周电价

Hipòlit Torró
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引用次数: 17

摘要

本文分析了北池每周期货价格的预测能力。将期货价格的预测能力与现货价格的ARIMAX模型进行了比较。时间序列模型包含滞后的外部变量,如:温度、降水、水库水位和基准(期货价格减去现货价格);并普遍反映了每周现货价格的典型季节性模式。结果表明,当使用Diebold和Mariano(1995)检验时,时间序列模型的预测显著优于期货价格。此外,期货价格的平均预测误差显示,它们在“交割周”显著高于结算现货价格,并且它们的规模随着到期日的增加而增加。那些在Nord Pool每周期货合约中持有头寸的经纪人可能会发现,估计的ARIMAX模型有助于改善他们对标的现货价格的预期形成过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Weekly Electricity Prices at Nord Pool
This paper analyses the forecasting power of weekly futures prices at Nord Pool. The forecasting power of futures prices is compared to an ARIMAX model of the spot price. The time series model contains lagged external variables such as: temperature, precipitation, reservoir levels and the basis (futures price less the spot price); and generally reflects the typical seasonal patterns in weekly spot prices. Results show that the time series model forecasts significantly beat futures prices when using the Diebold and Mariano (1995) test. Furthermore, the average forecasting error of futures prices reveals that they are significantly above the settlement spot price at the 'delivery week' and their size increases as the time to maturity increases. Those agents taking positions in weekly futures contracts at Nord Pool might find the estimated ARIMAX model useful for improving their expectation formation process for the underlying spot price.
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