Modelling and Forecasting Volatility on Electric Power Exchange SEEPEX


  • Ivica Terzić Singidunum University, Faculty of Business, Belgrade, Serbia
  • Zoran Jeremić Singidunum University, Faculty of Business, Belgrade, Serbia
  • Tatjana Latas Somborelektro d.o.o. Sombor, Serbia



Electricity price, Forecasting, Modelling, Volatility, ARMA, GARCH, SEEPEX


Research Question: The launch and the beginning of trade on the South East Electric Power Exchange (SEEPEX) in Belgrade, early in 2016, opened the issue of forecasting volatility and price movements in the market. Motivation: The issue is of vital importance for all market actors for the purpose of maximising profits, reducing risks, planning production and making investment decisions. Forecasting volatility and price movements in electric power markets is important for traders with profit maximisation and yield-to-risk ratio optimisation in mind and, equally, for producers, large industrial consumers, investors and portfolio managers. Idea: Exploring models and techniques to forecast volatility in electricity markets and subsequently testing statistical methods based on time series data, the ARMA-GARCH being the preferred model, with a view to identifying optimal methods for this market. The volatility of the power market and price movements have been tested during a given period. The results can be used to gauge market parameters and opportunities to extrapolate future volatility and movements in electricity prices. Data: For the purposes of this analysis, a time series involving price movements and trade volumes were used, covering a period between the SEEPEX trade launch and the end of 2019. Tools: In the empirical part of the paper, "Stata 13" statistical and econometric software was used to explore stylised facts and model the volatility of SEEPEX electricity price returns. Findings: The authors offer an overview of different methods used in the research, having selected different specifications of the ARMA-GARCH model as the most reliable in predicting volatility in the given market. The exponential GARCH model with student-t error distribution is believed to have provided the best overall performance in modelling the SEEPEX return volatility, as well as the best volatility forecast. Contribution: This is one of the first empirical studies of the Serbian power market that deals with risk modelling. Forecasting time-varying electricity exchange volatility is important for all market participants interested in variance forecasts to be used to calculate risk and hedging measures.

Author Biographies

Ivica Terzić, Singidunum University, Faculty of Business, Belgrade, Serbia

Ivica Terzić is an Associate Professor at the Faculty of Business, Department of Finance and Banking, Singidunum University, Belgrade. He teaches courses in Portfolio Management, Banking, Monetary Economics and Models of Risk Distribution in Financial Business. His professional interests refer to financial markets, risk management, financial risk forecasting, risk modelling, portfolio management, data analytics and energy markets. He has published numerous scientific papers, including the book “Financial markets and portfolio management”. Currently, he participates in the international project “Experience-sharing of Visegrad countries to tax avoidance activity” (No.22010083), financed by International Visegrad Fund.

Zoran Jeremić, Singidunum University, Faculty of Business, Belgrade, Serbia

Zoran Jeremić, after graduating from Faculty of Economics in Belgrade, was employed at a bank, and then at the National Bank of Serbia. As an expert of the Bank Rehabilitation Agency, he was twice the Director General of the Banks in the process of rehabilitation. He was also the Director General of the Belgrade Stock Exchange and Chairman of Supervisory Bord of Belgrade Chamber of Commerce. He is a full-time professor at the Singidunum University, Faculty of Business, Belgrade.

Tatjana Latas, Somborelektro d.o.o. Sombor, Serbia

Tatjana Latas is a PhD student at Singidunum University. During her professional career, she has gained a wide range of knowledge and skills in various fields and has significant experience at leading position in the private sector. Her scientific field is liberalization and deregulation of electricity markets and her research interest is focused on power exchanges and risk hedging on electricity markets.




How to Cite

Terzić, I., Jeremić, Z., & Latas, T. (2023). Modelling and Forecasting Volatility on Electric Power Exchange SEEPEX. Management:Journal of Sustainable Business and Management Solutions in Emerging Economies, 28(2), 67–78.




Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.