Abstract
Fuzzy real options analysis has gained increasing attention among investment practitioners as well as investment theory-focused academics. The strength of the real option valuation (ROV) models, when compared to the more traditional net present value methods, is that they can account for flexibility, which is often available in long-term real investment opportunities. So called fuzzy pay-off methods (FPOMs) represent the most intuitive and easy-to-apply real options techniques published during the last decade. As part of the methodological FPOM family, the original credibilistic approach to real option valuation was published in 2012. In this paper, the credibilistic approach is extended by using the \({\mathrm{m}}_{\mathrm{\lambda }}\)-measure, which is built on a linear combination of necessity and possibility measures to deal with the problem of a decision-maker or, say, an expert analyst, neither being fully optimistic nor fully pessimistic; instead, the λ ∈ [0,1] parameter will represent the level of optimism of a decision-maker leading to a range of real option values estimated for an investment under analysis. The paper presents the new credibilistic ROV model with R code and compares it to the original credibilistic approach, as well as, to the recent center-of-gravity fuzzy pay-off model (CoG-FPOM) through a numerical example of valuing operational synergies developed during a corporate acquisition process. Finally, some future research opportunities are expressed.
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References
Carlsson C, Fullér R (2001) On possibilistic mean value and variance of fuzzy numbers. Fuzzy Sets Syst 122(2):315–326
Collan M, Carlsson C, Majlender P (2003) Fuzzy Black and Scholes real options pricing. J Decis Syst 12:391–416
Black F, Scholes M (1970) The pricing of options and corporate liabilities. J Polit Econ 81(3):637–654
Merton RK (1973) Theory of rational option pricing. Bell J Econ Manag Sci 4:141–183
Carlsson C (2019) Digital coaching to make fuzzy real options methods viable for investment decisions. In: Pelta DA, Corona CC (eds) Soft computing based optimization and decision models. Studies in fuzziness and soft computing, vol 360. Springer Verlag, Heidelberg, pp 153–175
Collan M, Fullér R, Mézei J (2009) Fuzzy pay-off method for real option valuation. J Appl Math Decision Syst 2009:14
Datar V, Mathews S (2007) A practical method for valuing real options: the Boeing approach. J Appl Corp Financ 19:95–104
Collan M, Fullér R, Mezei J (2012) Credibilistic approach to the fuzzy pay-off method for real option analysis. J Appl Oper Res 4(4):174–182
Kinnunen J, Georgescu I (2020) Fuzzy real options analysis based on interval-valued scenarios with a corporate acquisition application. Nordic J Bus 69(1):44–67
Kinnunen J, Georgescu I (2020) Credibilistic real options analysis using interval-valued triangular fuzzy numbers. Int J Adv Comput Eng Netw 8(5):1–6
Borges REP, Dias MAG, Dória Neto AD, Meier A (2018) Fuzzy pay-off method for real options: the center of gravity approach with application in oilfield abandonment. Fuzzy Sets Syst 353:111–123
Yang L, Iwamura K (2008) Fuzzy chance-constrained programming with linear combination of possibility measure and necessity measure. Appl Math Sci 46:2271–2288
Liu B (2004) Uncertainty theory: an introduction to its axiomatic foundations. Springer-Verlag, Berlin
Dzuche J, Tassak CD, Sadefo J, Fono LA (2020) The first moments and semi-moments of fuzzy variables based on an optimism-pessimism measure with application for portfolio selection. New Math Nat Comput 16(2):271–290
Dzuche J, Tassak CD, Sadefo Kamdem J, Fono LA (2021) On two dominances of fuzzy variables based on a parametrized fuzzy measure and application to portfolio selection. Ann Oper Res 300:355–368. https://doi.org/10.1007/s10479-020-03873-5
Carlsson C, Fullér R (2011) Possibility for decision: a possibilistic approach to real life decisions. Springer-Verlag, Berlin-Heidelberg
Kinnunen J, Georgescu I (2019) Decision support system for evaluating synergy real options in M&A. In: Proceedings (CD-ROM) of the international conference on management and information systems (ICMIS-19), Bangkok, Thailand
Kinnunen J, Georgescu I, Collan M (2020) Center-of-gravity real options method based on interval-valued fuzzy numbers. In: Kahraman C, Onar SÇ, Öztayşi B, Sari IU, Çebi S, Tolga AC (eds) Proceedings of the intelligent and fuzzy techniques: Smart and innovative solutions conference (INFUS-20). Springer, Izmir, Turkey, pp 1292–1300
Georgescu I, Kinnunen J (2021) The digital effectiveness on economic inequality: A computational approach. In: Dima AM, D'Ascenzo F (eds) Business revolution in a digital era. Springer proceedings in business and economics. Springer, Cham. https://doi.org/10.1007/978-3-030-59972-0
Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications. Academic Press, New York
Dubois D, Prade H (1988) Possibility theory: an approach to computerized processing of uncertainty. Plenum Press, New York
Georgescu I (2012) Possibility theory and the risk. Springer-Verlag, Berlin-Heidelberg
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Inf Sci 8(3):199–249
Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1:3–28
Georgescu I, Kinnunen J (2011) Credibility measures in portfolio analysis: from possibilistic to probabilistic models. J Appl Oper Res 3(2):91–102
Bruner R (2004) Applied mergers and acquisitions. Wiley, New York
Loukianova A, Nikulin E, Vedernikov A (2017) Valuing synergies in strategic mergers and acquisitions using the real options approach. Bus Perspect 13(1):236–247
Collan M, Kinnunen J (2011) A procedure for the rapid pre-acquisition screening of target companies using the pay-off method for real option valuation. J Real Options Strategy 4(1):117–141
Stoklasa J, Luukka P, Collan M (2021) Possibilistic fuzzy pay–off method for real option valuation with application to research and development investment analysis. Fuzzy Sets Syst 409:153–169. https://doi.org/10.1016/j.fss.2020.06.012
Luukka P, Stoklasa J, Collan M (2019) Transformations between the center of gravity and the possibilistic mean for triangular and trapezoidal fuzzy numbers. Soft Comput 23(10):3229–3235
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This research is supported by the Finnish Strategic Research Council at the Academy of Finland project Manufacturing 4.0 grants 313349 and 313396.
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Georgescu, I., Kinnunen, J., Collan, M. (2022). New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker. In: Sharma, N., Chakrabarti, A., Balas, V.E., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. Lecture Notes on Data Engineering and Communications Technologies, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-16-2937-2_5
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