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BY 4.0 license Open Access Published by De Gruyter Open Access May 11, 2019

Financial Risk Assessment: Case of „Lietuvos Geležinkeliai“, AB

  • Viktorija Skvarciany EMAIL logo and Laura Germanaitė
From the journal Open Economics


This research paper focuses on the analysis of the financial risk of Lietuvos geležinkeliai, AB (eng. Lithuanian Railways), which activities are passenger and freight transportation by rail. In order to assess the financial risk of the leading company areas of financial risk were identified and are as follows: liquidity risk, credit risk and market risk. However, due to limited access to statistics only financial report of the organisation were analysed and, hence, just liquidity and credit risk were investigated. Consequently, the limitation of the current research is that only two categories of financial risk were analysed. For the purpose of financial risk analysis, the key indicators of liquidity and credit risk were distinguished from the literature. The results showed that the biggest problem of the company is too small short-term assets and the profitability indicators, which were strongly influenced by net profit (loss).

JEL Classification: G32


Bartkauskaitė, I., Stankevičienė, J., & Miečinskienė, A. (2016). Įmonės finansinis likvidumas kaip priemonė įmonės vertei didinti [Company’s financial liquidity as a tool to increase the value of the company]. In Proceedings of the 19th Conference for Junior Researchers „Science – Future of Lithuania“ (Vol. 8, pp. 192–199). VGTU Technika. in Google Scholar

Bartram, S. M., Brown, G. W., & Waller, W. (2015). How Important Is Financial Risk? Journal of Financial and Quantitative Analysis, 50(04), 801–824. in Google Scholar

Blach, J. (2010). Financial risk identification based on the balance sheet information. Managing and Modelling of Financial Risks, 8(9), 1–10.Search in Google Scholar

Blatt, J., & Gulbin, J. (2018). Achieving IFRS Off-Balance-Sheet Treatment in Trade Receivables Securitizations. The Journal of Structured Finance, 23(4), 30–35. in Google Scholar

Dedova, M. S., Malakhov, D. I., & Pilnik, N. P. (2017). Measurement of liquidity risk of credit institutions on the example of Russian banking system. St Petersburg University Journal of Economic Studies, 33(1), 78–103. in Google Scholar

Kim, J. (2018). Bank Competition and Financial Stability: Liquidity Risk Perspective. Contemporary Economic Policy, 36(2), 337–362. in Google Scholar

Kou, G., Peng, Y., & Wang, G. (2014). Evaluation of clustering algorithms for financial risk analysis using MCDM methods. Information Sciences, 275, 1–12. in Google Scholar

Kumar, L., Jindal, A., & Velaga, N. R. (2018). Financial risk assessment and modelling of PPP based Indian highway infrastructure projects. Transport Policy, 62, 2–11. in Google Scholar

Mangla, S. K., Kumar, P., & Barua, M. K. (2015). Risk analysis in green supply chain using fuzzy AHP approach: A case study. Resources, Conservation and Recycling, 104, 375–390. in Google Scholar

Mileris, R. (2012). Įmonių finansinių įsipareigojimų neįvykdymo tikimybės vertinimas nustatant kredito reitingus [Assessing the likelihood of corporate financial default by setting credit ratings]. Applied Economics: Systematic Research, 6.2(6.2), 127–142. in Google Scholar

Ministry of Finance of the Republic of Lithuania, (2017). Rekomendacinės finansinės rizikos valdymo gairės valstybės valdomoms įmonėms [Guidance on financial risk management for state-owned enterprises].Search in Google Scholar

Moles, P. (2016). Financial Risk Management. Edinburgh: Heriot-Watt University.Search in Google Scholar

NASDAQ. (2010). Įmonių finansinės analizė. Rodiklių skaičiavimo metodika [Corporate financial analysis. Methodology for the calculation of indicators]. Retrieved from in Google Scholar

Peškauskaitė, D., & Jurevičienė, D. (2017). Companies Credit Risk Assessment Methods for Investment Decision Making. Mokslas - Lietuvos Ateitis, 9(2), 220–229. in Google Scholar

Silva, V. V., & Loebel, E. (2016). Desempenho Econômico-Financeiro de Operadoras de Planos de Saúde Suplementar [Economic-Financial Performance of Supplementary Health Plan Operators]. Revista de Gestão Em Sistemas de Saúde - RGSS, 5(2), 57–70.10.5585/rgss.v5i2.260Search in Google Scholar

Skoglund, J., & Chen, W. (2015). Financial Risk Management: Applications in Market, Credit, Asset and Liability Management, and Firmwide Risk. New Jersey: John Wiley & Sons, Inc.10.1002/9781119157502Search in Google Scholar

Solomon, D. C., & Muntean, M. (2012). Assessment of Financial Risk in Firm ’ s Profitability Analysis. Economy Transdisciplinarity Cognition, 15(2), 58–68.Search in Google Scholar

Valaskova, K., Kliestik, T., & Kovacova, M. (2018). Management of financial risks in Slovak enterprises using regression analysis. Oeconomia Copernicana, 9(1), 105–121. in Google Scholar

Received: 2018-10-01
Accepted: 2019-01-14
Published Online: 2019-05-11

© 2019 Viktorija Skvarciany et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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