• Medientyp: Sonstige Veröffentlichung; E-Book; Elektronische Hochschulschrift; Dissertation
  • Titel: High-frequency Electricity Trading: Empirics, Fundamentals, and Stochastics
  • Beteiligte: Kremer, Marcel [VerfasserIn]
  • Erschienen: University of Duisburg-Essen: DuEPublico2 (Duisburg Essen Publications online), 2021-07-02
  • Umfang: xi, 97 Seiten
  • Sprache: Englisch
  • DOI: https://doi.org/10.17185/duepublico/74512
  • Schlagwörter: Fakultät für Mathematik
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: In the wake of the continuous digital transformation and the rapid increase in the amount of available data, trading on financial markets takes place at ever higher frequencies. This development does not only concern classical financial markets but also the comparatively young electricity markets. Apart from the massive expansion of renewable energy sources, increasing demand-side flexibility and increasing storage capabilities, high-frequency trading is one of the major trends shaping the electricity markets of the future. This thesis explores high-frequency trading on two German electricity markets: the intraday electricity market and the electricity futures market. The first part of this thesis develops an econometric price model with fundamental impacts for intraday electricity markets of 15-minute contracts. We analyze a unique data set of high-frequency transaction data, fundamental supply and demand data, and intradaily updated forecasts of renewable power generation. Our empirical analysis shows that, on average, prices of 15-minute contracts exhibit a sawtooth-shaped and trading volumes a U-shaped hourly seasonality. Furthermore, market liquidity increases sharply within the last trading hour before gate closure. We calibrate our econometric model for morning, noon, evening, and night contracts and use a threshold regression technique to examine how 15-minute intraday trading depends on the slope of the merit order curve. Our estimation results reveal strong evidence of mean reversion in the price formation mechanism of 15-minute contracts. Additionally, prices of neighboring contracts exhibit strong explanatory power and a positive impact on prices of a given contract. These findings are independent of the time of day and thus generic features of the price formation process on the intraday market. In contrast, intraday auction prices have higher explanatory power for the pricing of night contracts than day contracts. We observe an asymmetric effect of renewable forecast changes on intraday prices ...
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