Do weather conditions drive China's carbon-coal-electricity markets systemic risk? A multi-timescale analysis

Yi Zhao, Xingyu Dai, Dongna Zhang, Qunwei Wang*, Yaru Cao

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)
    48 Downloads (Pure)

    Abstract

    This paper uses the wavelet coherency method to reveal the timescale-varying driving mechanism of 12 different types of weather conditions data on risk measures of China's Carbon-Coal-Electricity (CCE) system. First, we find that temperature may be a major factor influencing the co-movement pattern of China's CCE system on a long-term timescale, but cannot affect information spillover pattern of the CCE system. Second, snowfall, cloud, and wind levels could influence the long-term variation of the CCE system's risk measurement. Third, none of the selected weather condition indicators could influence the short- and medium-run CCE systemic risk.
    Original languageEnglish
    Article number103432
    Number of pages7
    JournalFinance Research Letters
    Volume51
    Early online date21 Oct 2022
    DOIs
    Publication statusPublished - 1 Jan 2023

    Keywords

    • Carbon-coal-electricity markets system
    • Weather conditions
    • Multi-timescale analysis
    • Wavelet coherency
    • Dynamic equicorrelatioin

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