Capital Maintenance Evolution using Outputs from Accounting System

Renata Pakšiová, Denisa Oriskóová

Abstract


Decision making based on information provided by an enterprise accounting information system, is essential for sustainable development and enterprises growth. Besides widely used prediction models for an assessment of the financial distress, there is also a useful indicator of a capital maintenance evolution, that provides a deeper view to the enterprise growth or decline compared to traditional performance measures. The aim of the contribution is to develop a model for assessment of a capital maintenance evolution using available accounting outputs. Our constructed model and coefficient for a capital maintenance evolution CMEOPNN has been developed using the multi-layer (triple) artificial neural network with a feedforward signal transmission by a backpropagation method and an activation function is a sigmoid function. For construction our model we used 663 Slovak enterprises sample out of 5 most frequented industry sectors with a unified structure of the provided information in the financial statements for 2014-2017.



Keywords


evaluation of capital maintenance; business performance; financial statements; decision-making; information system.

JEL Codes


M21; M41; G30.

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References


Act on Accounting, 2019. Act No. 431/2002 on Accounting.

Adedeji, E. A., 2014. A Tool for Measuring Organization Performance using Ratio Analysis. Research Journal of Finance and Accounting, 5(19), 16-22.

Afrifa, G. A., and Padachi, K., 2016. Working capital level influence on SME profitability. Journal of Small Business and Enterprise Development, 23(1), 44-63. http://dx.doi.org/10.1108/JSBED-01-2014-0014

Altman, E. I., Iwanicz-Drodowska, M., Laitinen, K. E., and Suvas, A., 2016. Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model. Journal of International Financial Management & Accounting, 28(2), 1-41.

Arsad, R., Shaari, S. N. M., and Isa, Z., 2017. Comparative study on DuPont analysis and DEA models for measuring stock performance using financial ratio. AIP Conference Proceedings 1905. http://dx.doi.org/10.1063/1.5012195

Bastincova, A., 2017. Objektivizacia vysledku hospodarenia vo vztahu k majetkovej podstate podniku: Objectification of the economic result in relation of the business property Aktualne Problemy Podnikovej Sfery 2017: Zbornik Vedeckych Prac: Medzinarodna Vedecka Konferencia, Handlova - Raztocno, Slovensko, 17.-18.5.2017 (pp. 95-104). Bratislava: Vydavatelstvo EKONOM.

Beaver, H. W., Correia, M., and Mcnichols, F. M., 2010. Financial Statement Analysis and the Prediction of Financial Distress. Foundations and Trends® in Accounting, 5(2), 99-173.

Botoc, C., and Anton, S. G., 2017. Is profitability driven by working capital management? Evidence for high-growth firms from emerging Europe. Journal of Business Economics and Management, 18(6), 1135-1155. http://dx.doi.org/10.3846/16111699.2017.1402362

De Ona, J., and Garrido, C., 2014. Extracting the contribution of independent variables in neural network models: A new approach to handle instability. Neural Computing & Applications, 25(3-4), 859-869. http://dx.doi.org/10.1007/s00521-014-1573-5

Directive 2013/34/EU of the European Parliament and of the Council of 26 June 2013 on the annual financial statements consolidated financial statements and related reports of certain types of undertakings, amending Directive 2006/43/EC of the European Parliament and of the Council and repeating council Directives 78/660/EEC and 83/449/EEC.

Du Jardin, P., 2009. Bankruptcy prediction models: How to choose the most relevant variables? . Bankers, Markets & Investors, 98, 39-46.

Fenyves, V., Bocskei, E., Bacs, Z., Zeman, Z., and Tarnoczi, T., 2019. Analysis of the Notes to the Financial Statement Related to Balance Sheet in Case of Hungarian Information-Technology Service Companies. Scientific Annals of Economics and Business, 66(1), 27-39. http://dx.doi.org/10.2478/saeb-2019-0001

Geng, R., Bose, I., and Chen, X., 2015. Prediction of financial distress: An empirical study of listed Chinese companies using data mining. European Journal of Operational Research, 241(1), 236-247. http://dx.doi.org/10.1016/j.ejor.2014.08.016

Hajek, P., and Henriques, R., 2017. Mining Corporate Annual Reports for Intelligent Detection of Financial Statement Fraud - A Comparative Study of Machine Learning Methods. Knowledge-Based Systems, 128, 139-152. http://dx.doi.org/10.1016/j.knosys.2017.05.001

Hassan, E., Zainuddin, Z., and Nordin, S., 2017. A Review of Financial Distress Prediction Models: Logistic Regression and Multivariate Discriminant Analysis. Indian-Pacific Journal of Accounting and Finance, 1(3), 13-23.

IASB, 2018. Conceptual Framework.

Jenčová, S., 2014. Application creditworthy and bankruptcy model in the current environment. Exclusive e-journal: economy and society and environment. https://exclusiveejournal.sk/files/3-2014/1-jencova.pdf.

Jianu, I., Jianu, I., and Gusatu, I., 2011. The physical capital maintenance concept and the new requirements of the economic environment. African Journal of Business Management, 5(34), 13276-13292.

Jianu, I., Jianu, I., and Turlea, C., 2017. Measuring the company’s real performance by physical capital maintenance. Economic Computation and Economic Cybernetics Studies and Research, 51(1), 37 - 57.

Kim, H. S., 2016. A Study of Financial Performance using DuPont Analysis in Food Distribution Market. Culinary Science & Hospitality Research Journal, 22(6), 52-60. http://dx.doi.org/10.20878/cshr.2016.22.6.005005005

Kiraci, K., and Aydin, N., 2018. Factors that Determine the Capital Structure: An Empirical Study on Low-cost Airlines. Scientific Annals of Economics and Business, 65(3), 227-246. http://dx.doi.org/10.2478/saeb-2018-0018

Kosovska, I., Varyova, I., Krajcirova, R., Ferenczi Vanova, A., and Bojnansky, J., 2017. Profit or loss in commercial companies and its allocation in the process of global harmonization. Uctovnictvo a auditorstvo v procese svetovej harmonizacie: zbornik z medzinarodnej vedeckej konferencie: Zuberec - Univerzitne stredisko UNIZA, 11. - 13. septembra 2017. Bratislava: Vydavatelstvo EKONOM.

Kowsari, A., and Reza Shorvarzi, M., 2017. The Relationship between Working Capital Management, Financial Constraints and Performance of Listed Companies in Tehran Stock Exchange. Journal of Politics and Law, 10(2), 248-255. http://dx.doi.org/10. 248. 10.5539/jpl.v10n2p248

Kravec, M., 2014. Vývoj prehľadov modelov predikcie finančnej tiesne: Development of reviews of prediction models of financial distress Trendy a inovatívne prístupy v podnikových procesoch: zborník príspevkov z medzinárodnej vedeckej konferencie: Košice, 19.12. 2014. Košice: Technická univerzita v Košiciach.

Kubascikova, Z., 2018. Analyza zlatych pravidiel financovania vo vztahu k zachovaniu majetkovej podstaty podniku Zachovanie a rast majetkovej podstaty ako relevantny nastroj trvalo udrzatelneho rozvoja podniku: zbornik vedeckych stati (pp. 43-50). Bratislava: Vydavatelstvo EKONOM.

Kubaščíková, Z., and Juhászová, Z., 2016. Analysis of financial statements focusing on detection of Ponzi schemes using XBRL European Financial Systems 2016: Proceedings of The 13Th International Scientific Conference (pp. 408-412). Brno: Masarykova University.

Kubaščíková, Z., and Pakšiová, R., 2014. Risk in finance from the perspective of an accounting theory Finance And Risk 2014: Proceedings Of The 16Th International Scientific Conference: Bratislava, Slovak Republic, 24. - 25. November 2014 (pp. 125-128). Bratislava: Publishing house Ekonóm.

Lovciova, K., 2017. Vybrane indikatory stavu majetkovej podstaty vykazovane v uctovnej zavierke ako sucasti vyrocnej spravy Indikatory zmeny majetkovej podstaty a ich analyza: zbornik vedeckych stati (pp. 69-82). Bratislava: Vydavatelstvo EKONOM.

Lovciova, K., 2018. Europska akciova spolocnost (SE) ako fenomen trvalo udrzatelneho rozvoja Zachovanie a rast majetkovej podstaty ako relevantny nastroj trvalo udrzatelneho rozvoja podniku: zbornik vedeckych stati (pp. 51-61). Bratislava: Vydavatelstvo EKONOM.

MacGregor Pelikanova, R., 2017. European Myriad of Approaches to Parasitic Commercial Practices. Oeconomia Copernicana, 8(2), 167-180. http://dx.doi.org/10.24136/oc.v8i2.11

MacGregor Pelikanova, R., 2019. Corporate Social Responsibility Information in Annual Reports in the EU - Czech Case Study. Sustainability, 11(1), 237. http://dx.doi.org/10.3390/su11010237

Markovic, P., Grancicova, K., and Juhaszova, Z., 2013. Financne rozhodovanie o dlhodobej alokacii kapitalu. Management trends in theory and practice: scientific papers EDIS. Zilina: University Publishing House, University of Zilina.

Melecky, L., and Stanickova, M., 2017. Cost Efficiency of EU Funded Projects: Case of Selected SMEs in the Moravian-Silesian Region Strategic Management and its Support by Information Systems (pp. 293-302). Ostrava: VSB TU Ostrava.

Mihalovič, M., 2017. Nevyužité možnosti krízového manažmentu v podnikovej praxi. Journal of innovations and applied statistics: vedecký internetový časopis, 7(2), 71-76.

Mijailović, S., Anđelić, S., and Fuksova, N., 2015. Multi-criteria analysis indicators for evaluation of quality of life 3rd International conference Quality system condition for successfull bussiness and competiveness (pp. 94-104).

Ministry of Economy of the Slovak Republic, 2019. Industrial production and its position in the economy of the Slovak Republic. https://www.mhsr.sk/uploads/files/ezNh8gXF.pdf.

Neumaier, I., and Neumaierova, I., 2005. Index IN 05. In: Sbornik prispevku mezinarodni vedecke conference Evropske financni systemy" (pp. 143-148). Brno: Masaryk University.

O’Donoghue, J., Roantree, M., and McCarren, A., 2017, 2017//. Detecting Feature Interactions in Agricultural Trade Data Using a Deep Neural Network. Paper presented at the Big Data Analytics and Knowledge Discovery, Cham.

Ohlson, J. A., 1980. Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), 109-138. http://dx.doi.org/10.2307/2490395

Osadchy, E. A., Akhmetshin, E. M., Amirova, E. F., Bochkareva, T. N., Gazizyanova Yu, Y., and Yumashev, A. V., 2018. Financial statements of a company as an information base for decision-making in a transforming economy. European Research Studies Journal, 21(2), 339 – 350.

Paksiova, R., 2017. The Critical Analysis of Profit for its Allocation Decision-Making. Scientific Annals of Economics and Business, 64(1), 41-56. http://dx.doi.org/10.1515/saeb-2017-0039

Parajka, B., 2015. Are information needs of financial entities served by financial statements in the Slovak Republic Financial management of firms and financial institutions. International scientific conference. Financial management of firms and financial institutions: proceedings: 10th international scientific conference: 7th - 8th september 2015, Ostrava, Czech Republic (pp. 950-957). Ostrava: VŠB - Technical university of Ostrava.

Prochazka, D., and Pelak, J., 2016. Economic Theories of Accounting: The Review of Modern Approaches and their Relevance for Standard-Setting. Politicka Ekonomie, 64(4), 451-467. http://dx.doi.org/10.18267/j.polek.1081

Register FS SR, 2019. Register of Financial Statements. from http://www.registeruz.sk/

Samiloglu, F., and Akgun, A. I., 2016. The Relationship between Working Capital Management and Profitability: Evidence from Turkey. Business and Economics Research Journal, 7(2), 1-14. http://dx.doi.org/10.20409/berj.2016217492

Schmidlin, N., 2014. The Art of Company Valuation and Financial Statement Analysis: A Value Investor's Guide with Real-life Case Studies (1st ed. ed.). West Sussex: John Wiley & Sons Ltd.

Šebestová, J., Majerová, I., and Szarowska, I., 2018. Transparency in the municipality spending: Financial health index Conference: International Conference on European Financial Regulation (EUFIRE) Iasi: Alexandru Ioan Cuza University of Iasi.

Sebestova, J., and Nowakova, K., 2013. Dynamic strategy for sustainable business development: Mania or hazard? Amfiteatru Economic, 15(34), 442-454.

Slosarova, A., and Blahusiakova, M., 2017. Analyza uctovnej zavierky (1st ed. ed.). Bratislava: Wolters Kluwer.

Slosarova, A., Kadlecikova, O., Kovalcikova, A., and Mazikova, K., 2016. Uctovnictvo (2nd ed. ed.). Bratislava: Wolters Kluwer.

Sofrankova, B., 2014. Bankruptcy prediction models and their application in Slovak`s hotel. Exclusive e-journal: economy and society and environment, 2(4).

Sofrankova, B., Horvathova, J., Kiselakova, D., and Matkova, S., 2017. Identification of Key Performance Indicators with the Application of Mathematical and Statistical Methods. Journal of Financial Studies & Research, 2017, 1-11. http://dx.doi.org/10.5171/2017.403204

Stavárek, D., 2004. An Empirical Investigation of the Relations Between Stock Prices and Exchange Rates Proceedings of the Third International Symposium on Business Administration (pp. 793–811). Gelibolu, Çanakale: Çanakale Onsekiz Mart University.

Terek, M., Hornikova, A., and Labudova, V., 2010. Hlbkova analyza udajov (1st ed. ed.). Bratislava: Iura Edition.

Tkac, M., and Verner, R., 2016. Artificial neural networks in business: Two decades of research. Applied Soft Computing, 38, 788-804. http://dx.doi.org/10.1016/j.asoc.2015.09.040

Tumpach, M., and Baštincová, A., 2014. Cost and Benefit of Accounting Information in Slovakia: Do We Need to Redefine Relevance? . In O. Deev, V. Kajurová and J. Krajíček (Eds.), European Financial Systems 2014: proceedings of the 11th International Scientific Conference (pp. 655-676). Brno, Czech Republic: Masaryk University.

Tumpach, M., and Stankova, A., 2016. The Usage of selected models predicting the financial conditions of firms: case from Slovakia Dokbat 2016 - Drive Your Knowledge Be A Scientist: 12Th Annual International Bata Conference for Ph.d. Students and Young Researchers (pp. 379-385). Zlín: Tomas Bata University in Zlín. http://dx.doi.org/10.7441/dokbat.2016.40

Turečková, K., and Nevima, J., 2018. SMART approach in regional development Proceedings of 16th International Scientific Conference Economic Policy in the European Union Member Countries. Karviná: SU OPF Karviná.

Weidman, S. M., McFarland, D. J., Meric, G., and Meric, I., 2019. Determinants of return-on-equity in USA, German and Japanese manufacturing firms. Managerial Finance, 45(3), 445-451. http://dx.doi.org/10.1108/MF-07-2018-0305

Yusoff, H. Y., Ahmad, K., Qing, O. Y., and Zabri, S. M., 2018. The Relationship Between Working Capital Management and Firm Performance. Advanced Science Letters, 24(5), 3244-3248. http://dx.doi.org/10.1166/asl.2018.11351

Zmijewski, M. E., 1984. Methodological issues related to the estimation of financial distress pre-diction models. Journal of Accounting Research, 22, 59-86. http://dx.doi.org/10.2307/2490859




DOI: http://dx.doi.org/10.47743/saeb-2020-0020

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