Abstract
The article is devoted to the development of a methodology for analyzing the effectiveness of venture capital investment based on the option and fuzzy-sets approaches. Venture capital financing plays a huge role in the process of innovation transition from the research stage to the production of innovative products and services. A feature of innovative projects is the high uncertainty in achieving positive technological and economic results in the course of their implementation. In this regard, in order to assess the commercial effectiveness of such projects, it is advisable to use methods that allow taking into account the uncertainty factors that affect the dynamics of project indicators. One of such methods is the apparatus of fuzzy sets, as well as an optional approach. Combining the methodology of real options with fuzzy set analysis allows, in our opinion, to obtain more reasonable results in assessing the financial efficiency of innovative projects. The article proposes the main directions for the development of a theoretical and methodological approach to evaluating the effectiveness of innovative projects financed by venture capital funds, using option and fuzzy-sets analysis.
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Notes
This scheme does not pretend to describe all options for organizing the work of venture capital investors and is based on data on the activities of the network of EBRD venture funds that were created and operated in Russia in the 1990s and early 2000s.
It should be noted that private equity funds have much in common with venture capital funds. Both types of funds operate on the same principle – the difference is only in the objects for investment. If a venture fund, as a rule, chooses new projects, then for a PEF it is preferable to partner with established companies that need to raise capital to develop their business or improve their financial condition. In this regard, as a rule, private equity funds operate with larger volumes of investments.
Various versions of the definition of a real option are given in [5, pp. 84–92].
A call option is the right (but not the obligation) to buy an asset, such as a stock, at a predetermined price at or before a certain point in time.
REFERENCES
Overview of the Russian venture investment market, VentureRussia, 2021, Russian Venture Investment Association, 2022. http://www.rvca.ru/upload/files/lib/-RVCA-yearbook-2021-Russian-PE-and-VC-market-review-ru.pdf.
Socio-Economic Situation in Russia. January–March 2022 (Rosstat, Moscow, 2022) [in Russian].
A. O. Baranov, P. K. Kutsenogii, and T. S. Novikova, “Prospects for import substitution of enzymes and enzyme preparations in agriculture and industry in Russia,” EKO, No. 2, 34–45 (2023).
Venture investments in China. https://www.tadviser.ru/index.php/%D0%A1%D1%82%D0%B0%D1-%82%D1%8C%D1%8F.
A. O. Baranov and E. I. Muzyko, Theory and Practice of Venture Financing of Innovative Projects: In 2 Parts, Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences (Inst. Ekon. Org. Prom. Proizvod. Sib. Otd. Ross. Akad. Nauk, Novosibirsk, 2022), Pt. 1 [in Russian].
E. E. Karsak, “A generalized fuzzy optimization framework for R&D project selection using real options valuation, computational science and its applications,” in Computational Science and Its Applications—ICCSA 2006: Proceedings of International Conference, Glasgow, UK, 2006, Pt. III, pp. 918–927.
J. Zhang, H. Du, and W. Tang, “Pricing R&D option with combining randomness and fuzziness,” Computational Intelligence, ICIC 2006: Proceedings of International Conference on Intelligent Computing, Kunming, China, 2006, Pt. II, pp. 798–808.
A. C. Tolga and C. Kahraman, “Fuzzy multiattribute evaluation of R&D projects using a real options valuation model,” Int. J. Intell. Syst. 23, 1153–1176 (2008).
C. Carlsson, R. Fuller, M. Heikkila, and P. Majlender, “A fuzzy approach to R&D project portfolio selection,” Int. J. Approximate Reason. 44, 93–105 (2007).
F. Hassanzadeh, M. Collan, and M. Modarres, “A practical R&D selection model using fuzzy pay-off method,” J. Appl. Munuf. Technol. 58, 227–236 (2011).
C. Carlsson and R. Fuler, “A fuzzy approach to real option valuation,” Fuzzy Sets Syst. 139, 297–312 (2003).
S.-H. Liao and S.-H. Ho, “Investment project valuation based on a fuzzy binomial approach,” Inf. Sci., No. 180, 2124–2133 (2010).
C. Carlsson, M. Heikkila, and R. Fuller, “Fuzzy real options models for closing/not closing a production plant,” in Production Engineering and Management under Fuzziness, Studies in Fuzziness and Soft Computing (Springer, Berlin, 2010), Vol. 252, Chap. 22, pp. 537–560.
Q. Wang, D. M. Kilgour, and K. W. Hipel, “Facilitating risky project negotiation: An integrated approach using fuzzy real options, multicriteria analysis, and conflict analysis,” Inf. Sci., No. 295, 544–557 (2015).
S.-H. Ho and S.-H. Liao, “A fuzzy real option approach for investment project valuation,” Expert Syst. Appl. 38, 15296–15302 (2011).
C. Carlsson and R. Fuler, “On possibilistic mean value and variance of fuzzy numbers,” Fuzzy Sets Syst. 122, 315–326 (2001).
Y. Mao and W. Wu, “Fuzzy real option evaluation of real estate project based on risk analysis,” Syst. Eng. Procedia 1, 228–235 (2011).
Z. Zmeškal, “Application of the fuzzy-stochastic methodology to appraising the firm value as a European call option,” Eur. J. Oper. Res. 135, 303–310 (2001).
C. Tao, Z. Jinlong, L. Shan, and Y. Benhai, “Fuzzy real option analysis for IT investment in nuclear power station,” in Computational Science—ICCS 2007: Proceedings of 7th International Conference, Beijing, China, 2007 (2007), Pt. III, pp. 953–959.
Y. -C. Lee and S. -S. Lee, “The valuation of RFID investment using fuzzy real option,” Expert Syst. Appl. 38, 12195–12201 (2011).
C. You, C. K. M. Lee, S. L. Chen, and R. J. Jiao, “A real option theoretic fuzzy evaluation model for enterprise resource planning investment,” J. Eng. Technol. Manage. 29, 47–61 (2012).
Y.-W. Hsu, Staging of Venture Capital Investment: A Real Options Analysis, EFMA, London. Meetings, 2002. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=312012.
P. Gong, Z.-W. He, and J.-L. Meng, “Time-dependent volatility multi-stage compound real option model and application,” J. Ind. Eng. Eng. Manage., February, 1–14 (2006).
W. T. Lin, “Computing a multivariate normal integral for valuing compound real options,” Rev. Quant. Fin. Account. 18, 185–209 (2002).
R. Geske, “The valuation of compound options,” J. Fin. Econ. 7, 63–81 (1979).
Funding
The work was carried out according to the research plan of the Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences, project 5.6.6.4. (0260-2021-0008) “Methods and models for substantiating the strategy for the development of the Russian economy in the context of a changing macroeconomic reality” no. 121040100281-8.
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Baranov, A.O., Muzyko, E.I. & Pavlov, V.N. Development of a Methodology for Analyzing the Effectiveness of Venture Capital Investment Based on Option and Fuzzy-Sets Approaches. Stud. Russ. Econ. Dev. 34, 565–572 (2023). https://doi.org/10.1134/S1075700723050039
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DOI: https://doi.org/10.1134/S1075700723050039