Abstract
The purpose of this research is the application of quantitative methods in corporate financial modeling under uncertainty conditions. Most firms forecast their capital requirements by constructing pro forma financial statements. Pro forma financial statements are the base for using the additional funds needed (AFN) methodology to estimate capital requirements in a deterministic perspective. The question is if AFN methodology can also be employed in volatile financial data conditions, in order to enhance policy-making. By using Monte Carlo simulation and mathematical programming, it was found that the AFN formula is an appropriate methodology to calculate the capital requirements under uncertainty and thus apply any optimization techniques. The expected financial elements usually depend on various factors, so a quantitative range is more useful in financial planning. The importance of this research is that capital requirements forecasting can be used as an envelope of scenarios that can support financial planning and decision-making. Moreover, financial modeling becomes a useful tool in the restructuring planning processes for estimating base, adverse, and best business scenarios.
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References
Bennett, J., & Ormerod, R. N. (1984). Simulation applied to construction projects. Construction Management and Economics, 2(3), 225–263.
Brigham, E. F., & Daves, P. R. (2007). Intermediate financial management (9th ed.). Mason, OH: Thomson.
Damodaran, A. (2007). Return on capital (ROC), return on invested capital (ROIC) and return on equity (ROE): Measurement and implications. https://doi.org/10.2139/ssrn.1105499
Gordon, M. J. (1962). The investment, financing, and valuation of the corporation. Homewood, IL: RD Irwin.
Hertz, D. B. (1964). Risk analysis in capital investment. Harvard Business Review, 42(1), 95–106 (Reprinted in Harvard Business Review, September/October 1979, pp. 169–182).
Knight, J. A. (1997). Value based management: Developing a systematic approach to creating shareholder value. New York: McGraw-Hill.
Kwak, W., Shi, Y., Lee, H., & Lee, C. F. (1996). Capital budgeting with multiple criteria and multiple decision makers. Review of Quantitative Finance and Accounting, 7(1), 97–112.
Loizou, P., & French, N. (2012). Risk and uncertainty in development: A critical evaluation of using the Monte Carlo simulation method as a decision tool in real estate development projects. Journal of Property Investment & Finance, 30(2), 198–210.
Lorance, R. B., & Wendling, R. V. (1999). Basic techniques for analyzing and presenting cost risk analysis. AACE International Transactions, K11.
Luoma, M., & Ruuhela, R. (2001). How to develop price per earnings ratio to fair valuation method of a stock? Technical Analysis of Stock and Commodities, 19, 34–38.
Luoma, M., Sahlström, P., & Ruuhela, R. (2006). An alternative estimation method of the equity risk premium using financial statements and market data. Advances in Accounting, 22, 229–238.
O’Byrne, S. F. (1999). EVA and its critics. Journal of Applied Corporate Finance, 12(2), 92–96.
Peters, D. J. (1991). Valuing a growth stock. The Journal of Portfolio Management, 17(3), 49–51.
Sizer, J. (1988). An insight into management accounting. Leicestershire: Penguin Business.
Thalassinos, E., Kyriazidis, T., & Thalassinos, E. (2006). The Greek capital market: Caught in between poor corporate governance and market inefficiency. European Research Studies Journal, 9(1–2), 3–24.
Vose, D. (1996). Quantitative risk analysis: a guide to Monte Carlo simulation modelling. Chichester: Wiley.
Winkler, D. (1994). Financing costs of additional funds needed: A modified equation approach. Financial Practice and Education, 4(1), 149–154.
Winston, W. L. (2004). Operations research: Applications and algorithms (4th ed.). Pacific Grove, CA: Cengage Learning Higher Education.
Wright, D. (1996). Management accounting. New York: Addison Wesley Longman.
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Spanos, P.M., Galanos, C.L., Liapis, K.J. (2019). Corporate Financial Modeling Using Quantitative Methods. In: Sykianakis, N., Polychronidou, P., Karasavvoglou, A. (eds) Economic and Financial Challenges for Eastern Europe. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-12169-3_11
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