THE METHODOLOGY OF ASSESSMENT OF ECONOMIC EFFICIENCY OF INNOVATIVE PROJECTS WITH VENTURE FINANCING BASED ON REAL OPTIONS METHOD WITH FUZZY SETS ANALYSIS
Abstract
The absence of profi tability is typical for innovative projects on the early stages of its implementation and high risk because of high level of uncertainty of the estimates of forecasted cash fl ows. In this situation, the use of standard methods for economic effi ciency analysis of the projects does not allow to obtain a comprehensive assessment of the advisability of investing, as well as to quantify the accuracy of the dynamics of forecasted indicators. All of this requires the development of the theory and methods for analysis of economic efficiency of innovations and determines the high level of fundamentality of the issue. The application of real options method and fuzzy sets theory is, in our opinion, the directions of the improvement of these methods.
The paper deals with the problems of usage of new methods for evaluation of economic efficiency of innovative projects with venture financing in the industry sector. The opportunities of application the real options method to evaluation of the effectiveness of innovative projects with venture financing using fuzzy sets are investigated. Short review of works of foreign and Russian researchers is given.
The new methodological approach to the evaluation of the economic effectiveness of innovative projects with venture financing based on the real options method using modified Geske’s formula with fuzzy sets analysis is proposed. The methodological approach will enable to evaluate quantitatively the fact of staged investment of the project and the possibility to stop financing in the case of receiving negative information about its implementation. In other words it will enable to take into account and quantitatively evaluate the flexibility in making managerial decisions.
In general, synthesis of the probability methods and fuzzy sets in the analysis of venture financing of innovative projects based on the real options method extends the venture capital investor’s tools used to validate the investment decisions. Also the proposed approach allows to get a more accurate assessment of the effectiveness of investment projects with high degree of uncertainty in comparison with traditional methods.
About the Authors
A. A. BaranovRussian Federation
Doctor of Economic Sciences, Professor, Head of the Chair „Economic Theory”
senior research fellow
E. I. Muzyko
Russian Federation
Candidate of economic Sciences, Associate Professor of the Chair „Economic Theory and Applied Economics”
V. N. Pavlov
Russian Federation
Doctor of Technical Sciences, Professor of the Chair „Information systems and information technologies”
References
1. Muzyko E.I. Analysis of the development of approaches to the interpretation of the economic essence of the category „real option” [Analiz razvitija podhodov k traktovke jekonomicheskoj sushhnosti kategorii „real’nyj opcion”] // Jekonomicheskij analiz: teorija i praktika — Economic analysis: theory and practice, 2011, no. 36 (243), pp. 12–17 (In Russ.).
2. Muzyko E.I. Application of real options method in venture fi nancing of investment projects [Primenenie metoda real’nyh opcionov v venchurnom finansirovanii investicionnyh proektov] / Sovremennye processy v rossijskoj jekonomike: sbornik nauchnyh trudov — Modern processes in the Russian economy: proceedings. Novosibirsk, 2011. 141 p. (In Russ.).
3. Baranov A.O., Muzyko E.I. Evaluation of the effectiveness of venture capital fi nancing of innovative projects by real options method: Monografija [Ocenka jeffektivnosti venchurnogo finansirovanija innovacionnyh proektov metodom real’nyh opcionov: monografi ja]. Novosibirsk: NGTU Publ., 2013. 272 p. (In Russ.).
4. Hsu Y.-W. Staging of Venture Capital Investment: A Real Options Analysis. University of Camnridge, JIMS, 2002, May. pp. 1–47.
5. Pavlov A. V., Pavlov V.N. Fuzzy-random research methods of uncertainty and macroeconomic applications: Monografija [Nechetko-sluchajnye metody issledovanija neopredelennosti i ih makrojekonomicheskie prilozhenija: monografi ja]. Novosibirsk, 2012, 188 p. (In Russ.).
6. Mednikov M.D. Fuzzy-sets analysis in the crisis management [Nechetko-mnozhestvennyj analiz v antikrizisnom menedzhmente] // Nauchno-tehnicheskie vedomosti SPbGPU. Jekonomicheskie nauki — Scientifi c and technical sheets of SPbSPU. Economic sciences. 2008. No. 2. P. 315–321 (In Russ.).
7. Klement’eva S.V. Application of fuzzy set theory to measure and evaluation of the effectiveness of the implementation of high-tech product innovations [Primenenie teorii nechetkih mnozhestv dlja izmerenija i ocenki jeffektivnosti realizacii naukoemkoj produktovoj innovacii] // Zavodskaja laboratorija. Diagnostika materialov — Factory laboratory. Diagnostics of materials. 2006. No. 11. P. 65–69 (In Russ.).
8. Il’in I.V. Development of the methodology of evaluation of investment projects on the basis of the real options method and fuzzy sets theory. Nauchno-tehnicheskie vedomosti SPbGPU. Jekonomicheskie nauki — Scientific and technical sheets of SPbSPU. Economic sciences, 2009, no. 6, pp. 114–119 (In Russ.).
9. Nikonova I.A., Kolesnikov M.A. Development of methods for analysis and evaluation of investment projects [Razvitie metodov analiza i ocenki investicionnyh proektov] // Vestnik Finansovogo universiteta — Bulletin of Financial University. 2013. No. 6 (78). P. 89–97 (In Russ).
10. Kal’chenko O.A. Principles and methods of evaluation of the effectiveness of industrial innovative projects under uncertainty and risk: dis. … kand. jekon. nauk [Principy i metody ocenki jeffektivnosti promyshlennyh innovacionnyh proektov v uslovijah neopredelennosti i riskov: dis. … kand. jekon. nauk]. St. Petersburg, 2012 (In Russ.). 11. Uchal Irem, Kahraman Cengiz. Fuzzy Real Options Valuation for Oil Investments. Technological and Economic Development of Economy, 2009, no 15 (4), pp. 646–669.
11. Zhang Xubo. Venture Capital Investment Selection Decision-Making Base on Fuzzy Theory. International Conference on Solid State Devices and Materials Science-2012. School of Economics and Management, Wuhan Polytechnic University, Wuhan, China.
12. Maoa Yihua, Wubab Wenjing. Fuzzy Real Option Evaluation of Real Estate Project Based on Risk Analysis. Systems Engineering Procedia, 2011, no 1, pp. 228–235.
13. Carlsson Christer, Fuller Robert, Heikkila Markku, Majlender Peter. A fuzzy approach to R&D project portfolio selection // International Journal of Approximate Reasoning. 2007. No 44. P. 93–105.
14. Prosolupova K.A. Real options: analytical chimera or the key to actual deals? [Real’nye opciony: analiticheskaja himera ili kljuch k real’nym sdelkam?] // Vestnik Finansovogo universiteta — Bulletin of Financial University. 2012. No. 4 (70). P. 128–138 (In Russ.).
Review
For citations:
Baranov A.A., Muzyko E.I., Pavlov V.N. THE METHODOLOGY OF ASSESSMENT OF ECONOMIC EFFICIENCY OF INNOVATIVE PROJECTS WITH VENTURE FINANCING BASED ON REAL OPTIONS METHOD WITH FUZZY SETS ANALYSIS. Finance: Theory and Practice. 2015;(5):105-115. (In Russ.)