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2021 | 26 | 1 | 37-55

Article title

The accuracy of the equity’s forecast in the option model simulated by real volatility distribution

Content

Title variants

PL
Dokladność prognozy kapitału w modelu opcji z symulacją rzeczywistej zmienności

Languages of publication

Abstracts

PL
Prezentowany artykuł poświęcony jest ocenie dokładności modelu dwumianowego w prognozowaniu wartości kapitału z wykorzystaniem metody Back-Test. W tym badaniu zastosowano metodę Monte Carlo do symulacji wartości kapitału z wykorzystaniem rzeczywistych rozkładów zmienności stóp zwrotu cen akcji. W oparciu o analizę profilu zmienności zbudowano generator rozkładów rzeczywistych, który wykorzystano do symulacji Monte Carlo. Wyniki badania potwierdziły wysoką jakość i dokładność proponowanej przez autora metody. Ze względu na potencjalnie duże korzyści dla zarządzających firmami i inwestorów, jakie płyną z jakości pomiaru, wg zaprezentowanej metody w badaniu, warto jest roszerzać ten nurt w teorii i praktyce. Artykuł skierowany jest głównie do praktyków zajmujących się analitycznym procesem wyceny przedsiębiorstwa przy restrukturyzacji, łączeniu i przejęciu przedsiębiorstwa oraz budowaniu portfela inwestycyjnego.
EN
The article is devoted to the assessment of the accuracy of the binomial model in forecasting the value of capital using the Back-Test approach. In this study, the Monte Carlo method was used to simulate the value of capital using real volatility distributions of stock returns. Based on the analysis of the variability of the stocks returns profile, a generator of real distributions was built, which was used for the Monte Carlo simulation. The results of the study confirmed the high quality and accuracy of the method proposed by the author. Due to the potentially large benefits for company management and investors that come from the measurement quality, according to the methodology presented in the study, it is worth extending this trend in theory and practice. This article is mainly directed to business practitioners engaged in the analytical process of company valuation in restructuring, merging and acquisition of enterprises, and building an investment portfolio.

Year

Volume

26

Issue

1

Pages

37-55

Physical description

Dates

published
2021

Contributors

  • Warsaw School of Economics

References

  • Amram, M., & Kutilaka, N. (1999). Real options, managing strategic investment in an uncertain world. Boston: Harvard Business School Press.
  • Black, F., & Scholes, M. (1973, May-June). The pricing of options and corporate liabilities, Journal of Political Economy, 81, 640.
  • Brealey, R. A., Myers, S. C, & Marcus, A. J. (2007). Osnove korporativnih financija, 5. izdanje. Zagreb: MATE.
  • Copeland, T., Koller, T., & Murrin, J. (2000). Valuation − measuring and managing the value of companies. Hoboken: John Wiley & Sons.
  • Copeland, T. E., & Antikarov, V. (2001). Real options: A practitioners guide. New York: Texere.
  • Cox, J., Ross, S. A., & Rubinstein, M. (1979). Option pricing: A simplified approach. Journal of Financial Economics, Rochester, 7(3), 229-263.
  • Damodaran, A. (2000). The promise of real options. Journal of Applied Corporate Finance, 13(2), 96.
  • Dixit, A. K., & Pindyck, R. S. (1995, May-June). The options approach to capital investment, Harvard Business Review,105-116.
  • Fenyves, V., & Tarnoczi, T. (2010, December). Corporate valuation using two-dimensional Monte Carlo simulation. Retrieved from https://www.researchgate.net/publication/227462726
  • Hussain, Z. (2019, December). Implementing Monte Carlo simulation model for revenue forecasting under the impact of risk and uncertainty. Management and Production Engineering Review, 10(4), 81-89. doi: 10.24425/mper.2019.131448
  • Jajuga, K., & Krysiak, Z. (Eds.). (2005). Credit risk of mortgage loans − modelling and management (pp. 1-509). Polish Bank Association.
  • Kodukula, P., & Papadesu, C. (2006). Project valuation using real options (pp. 70, 78, 79). Florida: J. Ross Publishing.
  • Krysiak, Z. (2015). Financial engineering in project development. Warsaw: Warsaw School of Economics.
  • Krysiak, Z., & Pijanowski, S. (2015). Challenges and obstacles of ERM implementation in Poland. In J. R. S. Fraser, B. J. Simkins, & K. Narvaez (Eds.), Implementing enterprise risk management − case studies and best practices (pp. 577-606). Hoboken: John Wiley & Sons.
  • Luehrman, T. A. (1998, July-August). Investment opportunities as real options: Getting started on the numbers. Harvard Business Review, (4), 10, 53, 139.
  • Mukhtar, W., & Agarwal, R. K. (2009, November 7). DCF valuation of a firm: A case for application of Monte Carlo simulation. Retrieved from https://ssrn.com/abstract=1501589 or http://dx.doi.org/10.2139/ssrn.1501589
  • Mun, J. (2002). Real options analysis. Hoboken: John Wiley & Sons.
  • Mun, J. (2006). Real option analysis; tools and tehniques for valuation strategic investments and decisions. Hoboken: John Wiley & Sons.
  • Ross, S. A., Westerfield, R. W., & Jaffe, J. (2005). Corporate finance, New York: McGraw-Hill Irwin.
  • Samis, M., & Davis, G. (2014). Using Monte Carlo simulation with DCF and real options risk pricing techniques to analyse a mine financing proposal. Int. J. Financial Engineering and Risk Management, 1(3).
  • Seaman, S., & Krysiak, Z. (2012). Equity based metrics used to model financial distress. Academy of Economics and Finance Journal, 3, 65-72.
  • Simkins, B., & Narvaez, K. (2015). Implementing enterprise risk management – case studies and best practices. Hoboken: John Wiley & Sons.
  • Schwartz, E. S., & Trigeorgis, L. (2004). Real options and investment under uncertainty (pp. 1-5). The MIT Press.
  • Smit, H., & Trigeorgis, L. (2006). Real options and games: Competition, alliances and other applications of valuation and strategy. Review of Financial Economics, (15), 96.
  • Tomas, I., & Višić, J. (2020). Real option analysis − decision making in a volatile environment. Retrieved from https://bib.irb.hr/datoteka/430316

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1819053

YADDA identifier

bwmeta1.element.ojs-doi-10_15611_fins_2021_1_03
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