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The purpose of this paper is to examine the applicability of data envelopment analysis (DEA) as a basis of value portfolio selection criterion.

The portfolios are composed of the comprehensive sample of Finnish non‐financial stocks based on their DEA scale efficiency scores. The performance of portfolios is evaluated on the basis of average return and several risk‐adjusted performance metrics. Moreover, the impact of holding period length on the results is examined by varying the portfolio reformation frequency from one to five years at annual frequency.

The results show that the DEA scale efficiency scores add value to portfolio selection. Though outperformance of the DEA value portfolios in contrast to both comparable glamour portfolio and the stock market average is most evident for shorter (i.e. annual and biannual) holding periods, the absolute performance of the DEA value portfolio can be enhanced by using longer reformation intervals.

The sample of stocks is not large in spite of its comprehensiveness from the local stock market aspect. Future studies can apply DEA approach to other stock markets to examine whether the results are parallel to this study.

The DEA is particularly useful as a multicriteria methodology in cases in which the number of stocks in the sample is large.

This paper is the first attempt to form value portfolios using DEA models. The proposed methodology provides an interesting alternative to detect undervalued stocks by capturing several dimensions of relative value simultaneously. It provides also useful implications in portfolio management.

The purpose of the paper is to analyze the development needs and opportunities in the distribution system operators’ (DSO) tariff structures in the smart-grid environment.

The impacts of the distribution pricing schemes for the stakeholders and their requirements for the tariff structures are evaluated by qualitative analyses. Furthermore, there is a case analysis concerning the practical development possibilities of the DSO tariff structures in Finland.

Major finding of the paper is that the demand-based power band tariff is the optimal solution for the DSO pricing structure, when taking into account the real-life limitations and the requirements of the stakeholders.

Outcomes of the paper can be applied in practice in design of the pricing schemes in the electricity distribution. Incentive provision impacts and cost reflectivity of the DSO tariffs can be improved by implementing the suggested pricing structure.

The paper provides a novel viewpoint on the study of the DSO tariff design by considering the impacts of the pricing for the stakeholders and their requirements for tariff structure. Furthermore, the real-life limitations in the tariff design have been taken into account by analyzing the development options in Finland. Results are useful, especially for the DSOs, regulators and academics, who are working with the tariff development issues.