Time Series Analysis of Prices and Quantities at the Bulgarian Electricity Exchange in Conditions of Low Liquidity

Authors

Keywords
electricity consumption, seasonality, time series, forecasting

Summary
This article analyzes the time series of prices and quantities on the Bulgarian electricity exchange. The focus is on the period between January 2016 and June with the assumption that in this initial period for its operation, the stock exchange trade is not sufficiently liquid. Statistical tests and seasonal decomposition of quantities and prices are made. This allows the determination of their statistical properties. The analysis shows that both time series are characterized by mean reversion and have a weekly seasonality.

JEL: C14, C22, C51, Q41, Q47
Pages: 15
DOI: 

More titles

  • Economic and Social Aspects in Implementation of Safety and Health Conditions of Work Legislation

    This article reveals current trends in practical implementation of health and safety legislation, focusing on working time patterns and work organization. Using the National Profile for Occupational Safety and Health, developed in 2019, the article makes conclusions about the most common patterns of working time and organization of work in ...

  • Standardized Approach to Identification of Infrastructure Assets in Public Sector

    This paper presents accounting analysis of infrastructure assets as elements of fixed assets in the public sector. Infrastructure assets are significant assets for the public sector. Significant resources of the society are invested in these assets. This paper defines public sector assets and outlines major differences with the definitions in the ...

  • Bankruptcy Risk in Small and Medium-Sized Enterprises in Bulgaria

    The bankruptcy risk study for SMEs in Bulgaria is based on data from the financial statements of 100 non-financial firms with different main activities for the period 2014 - 2016, provided by the National Statistical Institute. The results of the study show that the implementation of well-established models of bankruptcy prediction, such as those ...