Dergiler / Ege Akademik Bakış Dergisi / 2026 / Cilt: 22 Sayı: 1

On modelling electricity spot prices: A case study for the Turkish market

Dündar Kök(PAMUKKALE UNIVERSITY)0000-0002-5250-3369
Sayfa
33–48
Yayın Tarihi
2022-01-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Finally, underlying economic interactions and policy implications for the market are discussed.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This paper demonstrates the significance of jump threshold in terms of modeling and generating realistic trajectories for an electricity spot price process.
📊
Temel Bulgular & Veri:Determining the suitable threshold and choosing among distributions proposed in literature are key to the followed moment-matching strategy.
💡
Sonuç & Katkı:Finally, underlying economic interactions and policy implications for the market are discussed.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2015 Verileri
⚙️Değişkenler:Turkish electricity market · Spot price models · Seasonality modelling

Abstract

This paper demonstrates the significance of jump threshold in terms of modeling and generating realistic trajectories for an electricity spot price process. Determining the suitable threshold and choosing among distributions proposed in literature are key to the followed moment-matching strategy. This is implemented in a two-factor model framework with the Turkish spot electricity price data. The market studied is a developing one which has taken huge steps in liberalization by learning from more advanced markets, yet with limited research on her spot price dynamics. The selected two-factor model entails downward jumps, which are increasingly getting essential components of the process with the progressing integration of renewable sources. Such components are notably observed since 2015 in the spot market. Moreover, considering structural changes in seasonality both improves the model fit and reveals the same year as the break year for Turkish market. Finally, underlying economic interactions and policy implications for the market are discussed.

🔖

Bu Makaleye Atıf Yap

Özgül, A. U., Kök, D. (2022). On modelling electricity spot prices: A case study for the Turkish market. Ege Akademik Bakış Dergisi, Cilt: 22 Sayı: 1, 33–48. https://doi.org/10.21121/eab.1060605

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (31)

  1. Aid, R. (2015). Electricity Derivatives. Springer International Publishing AG.
  2. Barndorff-Nielsen, O. E., & Shephard, N. (2001). Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(2), 167–241. https:// doi.org/10.1111/1467-9868.00282
  3. Benth, F. E., Kallsen, J., & Meyer-Brandis, T. (2007). A non-Gaussian Ornstein-Uhlenbeck process for electricity spot price modeling and derivatives pricing. Applied Mathematical Finance, 14(2), 153–169. https://doi. org/10.1080/13504860600725031
  4. Benth, F. E., Šaltyte-Benth, J., & Koekebakker, S. (2008). Stochastic Modelling of Electricity and Related Markets. Singapore: World Scientific Publishing Co. Pte. Ltd.
  5. Cartea, Á., & Figueroa, M. G. (2005). Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality. Applied Mathematical Finance, 12(4), 313–335.
  6. Clewlow, L., & Strickland, C. (2000). Energy Derivatives: Pricing and Risk Management. London: Lacima Publications.
  7. Davis, G. F., & Kim, S. (2015). Financialization of the Economy. Annual Review of Sociology, 41(1), 203–221. https://doi. org/10.1146/annurev-soc-073014-112402
  8. De Jong, C. (2006). The Nature of Power Spikes: A Regime-Switch Approach. Studies in Nonlinear Dynamics & Econometrics, 10(3). https://doi.org/10.2202/1558-3708.1361
  9. Edwards, D. W. (2010). Energy Trading and Investing: Trading, Risk Management, and Structruring Deals in the Energy Markets. McGraw-Hill.
  10. Enerji Piyasalari Isletme A.S. (2016). Gun Oncesi Elektrik Piyasasi Piyasa Takas Fiyati Belirleme Yontemi. Retrieved from https://www.epias.com.tr/wp-content/uploads/2016/03/ public_document_v4_released.pdf
  11. European Energy Exchange AG. (2014). EEX Annual Report 2013. Retrieved from https://www.eex.com/ blob/30630/06c68199951eaea397b978d1435f006e/eexgb- 2013-en-pdf-data.pdf
  12. European Energy Exchange AG. (2017). EEX Annual Report 2016. Retrieved from https://www.eex.com/blob/66620/17cc36f9c69c14467c7827576dd68db7/ eexgb-%0A2016-enviewer- data.pdf
  13. Geman, H., & Roncoroni, A. (2006). Understanding the Fine Structure of Electricity Prices. The Journal of Business, 79(3), 1225–1261. https://doi.org/10.1086/500675
  14. Gonzalez, J., Moriarty, J., & Palczewski, J. (2017). Bayesian calibration and number of jump components in electricity spot price models. Energy Economics, 65, 375–388. https:// doi.org/10.1016/j.eneco.2017.04.022
  15. Grossi, L., Heim, S., Hüschelrath, K., & Waterson, M. (2018). Electricity market integration and the impact of unilateral policy reforms. Oxford Economic Papers, 70(3), 799–820. https://doi.org/10.1093/oep/gpy005
  16. Harris, C. (2006). Electricity Markets: Pricing, Structures and Economics. West Sussex: John Wiley & Sons Ltd.
  17. Hayfavi, A., & Talasli, I. (2014). Stochastic multifactor modeling of spot electricity prices. Journal of Computational and Applied Mathematics, 259, 434–442. https://doi.org/10.1016/j. cam.2013.10.008
  18. Janczura, J., & Weron, R. (2010). An empirical comparison of alternate regime-switching models for electricity spot prices. Energy Economics, 32(5), 1059–1073. https://doi. org/10.1016/j.eneco.2010.05.008
  19. Klüppelberg, C., Meyer-Brandis, T., & Schmidt, A. (2010). Electricity spot price modelling with a view towards extreme spike risk. Quantitative Finance, 10(9), 963–974.
  20. Lee, S. S., & Mykland, P. A. (2008). Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics. The Review of Financial Studies, 21(6), 2535–2563. https://doi. org/10.1093/rfs/hhm056
  21. Lucia, J. J., & Schwartz, E. S. (2002). Electricity prices and power derivatives: Evidence from the Nordic Power Exchange. Review of Derivatives Research, 5(1), 5–50. https://doi. org/10.1023/A:1013846631785
  22. Mayer, K., Schmid, T., & Weber, F. (2015). Modeling electricity spot prices: combining mean reversion, spikes, and stochastic volatility. European Journal of Finance, 21(4), 292–315. https://doi.org/10.1080/1351847X.2012.716775
  23. Meyer-Brandis, T., & Tankov, P. (2008). Multi-factor jump-diffusion models of electricity prices. International Journal of Theoretical and Applied Finance, 11(5), 503–528. https://doi. org/10.1142/S0219024908004907
  24. Nazarova, A. (2014). Stochastic Models for Energy Markets. Universitat Duisburg-Essen, Essen.
  25. Pirino, D., & Renò, R. (2010). Electricity Prices: A Nonparametric Approach. International Journal of Theoretical and Applied Finance, 13(2), 285–299.
  26. Popova, J. (2008). Essays on Pricing Electricity and Electricity Derivatives in Deregulated Markets. College of Business and Economics at West Virginia University, Morgantown, West Virginia.
  27. Schwartz, E. S. (1997). The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging. The Journal of Finance, 52(3), 923–973.
  28. Seifert, J., & Uhrig-Homburg, M. (2007). Modelling jumps in electricity prices: theory and empirical evidence. Review of Derivatives Research, 10(1), 59–85.
  29. Shahidehpour, M., Yamin, H., & Li, Z. (2002). Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management. New York: John Wiley & Sons, Inc.
  30. Talasli, I. (2012). Stochastic Modeling of Electricity Markets. Middle East Technical University, Ankara, Turkey.
  31. Tokyay, M. B., & Ozdemir, I. S. (2013). Turkiye Elektrik Piyasasi’nda Elektrik Ticareti.