On modelling electricity spot prices: A case study for the Turkish market
Year 2022,
Volume: 22 Issue: 1, 33 - 48, 30.01.2022
Ali Ulvi Özgül
,
Dündar Kök
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.
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org/10.1142/S0219024908004907
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Finance, 13(2), 285–299.
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Derivatives in Deregulated Markets. College of Business and
Economics at West Virginia University, Morgantown, West
Virginia.
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Prices: Implications for Valuation and Hedging. The Journal
of Finance, 52(3), 923–973.
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electricity prices: theory and empirical evidence. Review of
Derivatives Research, 10(1), 59–85.
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in Electric Power Systems: Forecasting, Scheduling, and Risk
Management. New York: John Wiley & Sons, Inc.
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East Technical University, Ankara, Turkey.
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Elektrik Ticareti.
Year 2022,
Volume: 22 Issue: 1, 33 - 48, 30.01.2022
Ali Ulvi Özgül
,
Dündar Kök
References
- Aid, R. (2015). Electricity Derivatives. Springer International
Publishing AG.
- 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
- 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
- Benth, F. E., Šaltyte-Benth, J., & Koekebakker, S. (2008). Stochastic
Modelling of Electricity and Related Markets. Singapore:
World Scientific Publishing Co. Pte. Ltd.
- 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.
- Clewlow, L., & Strickland, C. (2000). Energy Derivatives: Pricing
and Risk Management. London: Lacima Publications.
- 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
- 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
- Edwards, D. W. (2010). Energy Trading and Investing: Trading, Risk
Management, and Structruring Deals in the Energy Markets.
McGraw-Hill.
- 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
- European Energy Exchange AG. (2014). EEX Annual
Report 2013. Retrieved from https://www.eex.com/
blob/30630/06c68199951eaea397b978d1435f006e/eexgb-
2013-en-pdf-data.pdf
- European Energy Exchange AG. (2017). EEX Annual Report 2016.
Retrieved from https://www.eex.com/blob/66620/17cc36f9c69c14467c7827576dd68db7/
eexgb-%0A2016-enviewer-
data.pdf
- 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
- 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
- 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
- Harris, C. (2006). Electricity Markets: Pricing, Structures and Economics.
West Sussex: John Wiley & Sons Ltd.
- 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
- 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
- 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.
- 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
- 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
- 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
- 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
- Nazarova, A. (2014). Stochastic Models for Energy Markets. Universitat
Duisburg-Essen, Essen.
- Pirino, D., & Renò, R. (2010). Electricity Prices: A Nonparametric
Approach. International Journal of Theoretical and Applied
Finance, 13(2), 285–299.
- 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.
- Schwartz, E. S. (1997). The Stochastic Behavior of Commodity
Prices: Implications for Valuation and Hedging. The Journal
of Finance, 52(3), 923–973.
- Seifert, J., & Uhrig-Homburg, M. (2007). Modelling jumps in
electricity prices: theory and empirical evidence. Review of
Derivatives Research, 10(1), 59–85.
- Shahidehpour, M., Yamin, H., & Li, Z. (2002). Market Operations
in Electric Power Systems: Forecasting, Scheduling, and Risk
Management. New York: John Wiley & Sons, Inc.
- Talasli, I. (2012). Stochastic Modeling of Electricity Markets. Middle
East Technical University, Ankara, Turkey.
- Tokyay, M. B., & Ozdemir, I. S. (2013). Turkiye Elektrik Piyasasi’nda
Elektrik Ticareti.