Abstract
This study is part of research from corporate governance domain, knowing that one of the major concerns of stakeholders is to identify decisions that ensure adequate control over costs and hence over the risk of cash flow, in order to ensure a high level of performance. The immediate consequence is that the decision to control the risk of cash flow has impact on the market value of the listed companies. In this context, the paper addresses the issue of cash flow risk in terms of leverage, except that the debt service of a company is often a “fixed cost” and the company has a certain level of affordability of this cost. This level of cost affordability for capital is determined by the existence of the free cash flow available for being used in subsequent reimbursement of the borrowed capital. Moreover, since the free cash flow has a certain evolution during the period the capital has to be repaid, the question of maintaining security in the debt service of free cash flow is raised. The objective of this study is achieved using a fuzzy adaptive controller.



Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Bradea, I.A., Delcea, C., Scarlat, E., Boloș, M.: KRIs in hospitals—network, correlations and influences, Econ. Comput. Econ. Cybern. Stud. Res. 48(1), pp. 81–94 (2014) ISSN: 0424-267X
Jurek, J.W., Stafford, E.: The cost of capital for alternative investments. Harvard Business School Working Paper, no. 1910719 (2013)
Modigliani, F., Miller, M.H.: The cost of capital, corporation finance and the theory of investment. Am. Econ. Rev. 48(3), 261–297 (1958)
Bertomeu, J., Cheynel, E.: Disclosure and the cost of capital: a survey of the theoretical literature. Columbia Business School Research Paper, no. 15–16 (2014)
Andrén, N., Jankensgård, H., Oxelheim, L.: Exposure-based cash-flow-at-risk for value- creating risk management under macroeconomic uncertainty. IFN Working Paper, No. 843, Research Institute of Industrial Economics (2010)
Jankensgård, H.: Cash flow-at-risk and debt capacity. Lund Institute of Economic Research Working Paper Series, no. 2 (2008)
Jensen, M.C.: The free cash flow theory of takeovers: a financial perspective on mergers and acquisitions and the economy. Proceedings of the Conference “The Merger Boom”, pp. 102–143 (1987)
Parsian, H., Koloukhi, A.S.: A study on the effect of free cash flow and profitability current ratio on dividend payout ratio: evidence from Tehran Stock Exchange. Manag. Sci. Lett. 4, 63–70 (2014)
Bradea, I.A., Delcea, C., Scarlat, E., Boloş, M., Chiriţă, N.: Grey incidence between bank’s risks and their performance. In: Computational Collective Intelligence Technologies and Applications, Lecture Notes in Computer Science, Springer, Berlin, vol. 8083, pp. 80–89, ISBN: 978-3-642- 40495-5 (2013)
Bradea, I.A.: Risks in hospitals. Assessment and management. The Romanian Economic Journal REJ, issue 54, year XVII, pp. 25–37, ISSN: 2286-2056 (2014)
Bradea, I.A., Mărăcine,V.: Grey incidence between KPIs and hospital performance. Grey Systems: Theory and Application. Special Issue: Perspectives on grey economic systems, vol. 5, issue 2, Emerald, ISSN: 2043-9377, pp. 234–243 (2015)
Delcea, C., Cotfas, L., Bradea, I. et al.: KRI and firms’ performance—a grey theory approach. Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services (GSIS), pp. 260–264 (2013c)
Sabbadini, A., Lim, M.: Cash Flow Risk Management—in Good Times and Bad. ERM Symposium, Chicago (2011)
Maracine, V., Delcea, C., Bradea, I. et al.: Banking sector risks identification via GRA. Proceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services (GSIS), pp. 11–15 (2013)
Odom, M.D., Sharda, R.: A neural network model for bankruptcy prediction. Proc. Int. Joint Conf. Neural Netw. II, 163–167 (1990)
Delcea, C., Bradea, I.A., Scarlat, E.: A computational grey based model for companies risk forecasting. The Journal of Grey System, vol. 25, issue 3, pp. 70–83. Londra, ISSN: 0957-3720 (2013a)
Fang, H.: Adaptive neurofuzzy inference system in the application of the financial crisis forecast. Int. J. Innov. Manag. Technol. 3(3), 250–254 (2012)
Boulkroune, A., Tadjine, M., M’Saad, M., Farza, M.: How to design a fuzzy adaptive controller based on observers for uncertain affine nonlinear systems. Fuzzy Sets Syst. 159, 926–948 (2008)
Jung, J.W., Choi, Y.S., Leu, V.Q., Choi, H.H.: Fuzzy PI-type current controllers for permanent magnet synchronous motors. IET Electr. Power Appl. 5(1), 143–152 (2011)
Delcea, C., Bradea, I.A., Mărăcine, V., Scarlat, E., Cotfas, L.: GM(1, 1) in bankruptcy forecasting. Grey Systems: Theory and Application, Editura Emerald, vol. 3, issue 3, pp. 250–265, ISSN: 2043-9377 (2013b)
Delcea, C., Bradea, I.A., Paun, R., Friptu, A.: A healthcare companies’ performance view through OSN, New trends in intelligent information and database systems. Series Title: Studies in Computational Intelligence, vol. 598, pp. 333–342, Springer, Berlin, ISBN: 978-3-319-16211-9 (2015)
Ordonez, R., Zumberge, J., Spooner, J.T., Passino, K.M.: Adaptive fuzzy control: experiments and comparative analyses. IEEE Trans. Fuzzy Syst. 5(2), 167–187 (1997)
Lee, C.C.: Fuzzy logic in control systems: fuzzy logic controller—Part I. IEEE Trans. Syst. Man Cybern. 20(2), 404–418 (1990)
Delcea, C.: Not black not even white definitively grey economic systems. J. Grey Syst. 26(1), 11–25 (2014)
Jensen, M.C.: Agency costs of free cash flow, corporate finance, and takeovers. Am. Econ. Rev. 76(2), 323–329 (1986)
Scarlat, E., Chirită, N., Bradea, I.A.: Indicators and metrics used in the enterprise risk management (ERM). Econ. Comput. Econ. Cybern. Stud. Res. J., issue 4, vol. 46, pp. 5–18, ISSN: 0424–267X (2012)
Oral, C., Akkaya, G.C.: Cash Flow at risk: A Tool for financial planning, Procedia Economics and Finance, vol. 23, pp. 262–266, ISSN: 2212-5671 (2015)
Dong, M.X., Li, Y.X.: Cash flow risk management in central enterprises an analysis based on audit announcements. Proceedings of the 6th International Conference on Financial Risk and Corporate Finance Management, vol. S. I and II, pp. 1330138, ISBN: 978-7-89437-112-6 (2014)
Han, S.H., Park,H.K., Yeom, S.M., Chae, M.J., Kim, D.Y.: Risk-integrated cash-flow forecasting for overseas construction projects, KSCE Jornal of Civil Engineering, vol. 18, issue 4, pp. 875–886, ISSN: 1226-7988 (2014)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Boloș, M., Sabău-Popa, D. Developing an Adaptive Fuzzy Controller for Risk Management of Company Cash Flow. Int. J. Fuzzy Syst. 19, 414–422 (2017). https://doi.org/10.1007/s40815-016-0159-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-016-0159-z