DECISION-MAKING AT BIFURCATION POINTS IN THE DEVELOPMENT OF FINANCIAL AND ECONOMIC SYSTEMS: CAUSES, CONSEQUENCES, WAYS TO REDUCE UNCERTAINTY

Keywords: bifurcation, development, risk, uncertainty, decision making, financial and economic system

Abstract

Considering uncertainty at bifurcation points is a key to ensuring the effective development of financial and economic systems and reducing the risks of making informed decisions, the article analyzes the views of foreign and Ukrainian scientists on this problem. It is noted that there are great studies of the irrationality of psychology in investments, chaos and instability in financial markets, bifurcations in investments, critical points and catastrophic bifurcations, black swans which are negative events with great uncertainty that can occur at bifurcation points in economic science. Taking into account the systemic complexity and interdependence of financial and economic systems, vulnerability to external factors, and some chaotic nature of changes in the financial and economic sphere, experts studied the impact of risks and uncertainty in decision-making at points of bifurcation, information asymmetry, chaos, archival volatility and irregularity in financial systems, carried out attempts to model the development of financial and economic systems. The article solves the urgent task of developing ways to reduce risks when making decisions at bifurcation points in the development of financial and economic systems. Types of bifurcations in the development of financial and economic systems are summarized and systematized, their characteristics are provided, and system classification is proposed. The causes of risk phenomena and uncertainty in decision-making at bifurcation points are identified, and it is proved that crisis situations are created as a result of their interaction and mutual reinforcement. The possible consequences of uncertainty in decision-making at the bifurcation points of development are analyzed. Practical recommendations are provided for reducing uncertainty at bifurcation points that require an integrated approach, including data analysis, modeling, portfolio diversification, stress testing, and active planning. The importance of taking into account the specific characteristics of financial and economic systems and global and regional economic conditions is emphasized.

References

Shiller R. Irrational Exuberance (3rd ed.). Princeton University Press. 2015. URL: https://www.perlego.com/book/737964/irrational-exuberance-revised-and-expanded-third-edition-pdf

Markowitz H.M. Foundations of Portfolio Theory. Journal of Finance. 1991. Vol. 46. Issue 2. P. 469–477. URL: http://www.e-m-h.org/Mark91.pdf

Mandelbrot B.B. Fractals and Scaling in Finance: Discontinuity, Concentration, Risk, Springer. 1997.

Ormerod P. Why Most Things Fail: Evolution, Extinction and Economics. Faber & Faber. 2005. P. 225

Malevergne Y., Sornette D. Extreme Financial Risks: From Dependence to Risk Management. Springer, Heidelberg. 2006.

Fama E.F. and Kenneth R.F. The Capital Asset Pricing Model: Theory and Evidence. Journal of Economic Perspectives. 2004. No. 18 (3). P. 25–46.

Taleb N.N. The Black Swan: The Impact of the Highly Improbable. New York : Random House, 2007.

Engle R.F., Lilien D.M., Robins R.P. Estimation of Time Varying Risk Premia in the Term Structure: the ARCH-M Model. Econometrica. 1987. No. 55 (2). P. 391–407.

Friedrich B. Trade Shocks, Firm Hierarchies and Wage Inequality. Economics Working Papers 2015-26, Department of Economics and Business Economics, Aarhus University. 2015.

Wilmott P. The use, misuse and abuse of mathematics in finance Phil. Trans. R. Soc. A. 2000. No. 358. P. 63–73.

Bookstaber R. The End of Theory: Financial Crises, the Failure of Economics, and the Sweep of Human Interaction. Princeton : Princeton University Press, 2017. 240 p.

Akerlof G. & Kranton R. Identity Economics: How Our Identities Shape Our Work, Wages, and Well-Being. Princeton : Princeton University Press, 2010.

Merton R.C. Financial Innovation and the Management and Regulation of Financial Institutions. Journal of Banking and Finance. 1995. No. 19. P. 461–481.

Dieci R., Schmitt N. and Westerhoff F. Steady states, stability and bifurcations in multi-asset market models. 2018.

Кондратьєва Т.В. Точки біфуркації на траєкторії розвитку соціально-економічних систем. Економічний вісник Донбасу. 2015. № 2 (40). С. 39–44.

Корчевська Л.О. Адаптаційні та біфуркаційні стратегії управління економічною безпекою підприємства. Академічний огляд. 2020. № 1. С. 26–37. URL: http://nbuv.gov.ua/UJRN/ao_2020_1_4

Маслій Н.Д. Біфуркаційна модель розвитку сфери зв’язку та інформатизації під впливом кризових явищ. Соціально–економічні проблеми сучасного періоду України. Львів, 2018. № 6 (134). С. 132–138.

Полевик Г.М. Поняття біфуркації та його застосування в управлінні економікою. Актуальні проблеми розвитку економіки регіону. 2013. Вип. 9(2). С. 258–264. URL: http://nbuv.gov.ua/UJRN/aprer_2013_9%282%29__49

Shiller R. (2015) Irrational Exuberance (3rd ed.). Princeton University Press. Available at: https://www.perlego.com/book/737964/irrational-exuberance-revised-and-expanded-third-edition-pdf

Markowitz H. M. (1991) Foundations of Portfolio Theory. Journal of Finance. Vol. 46. Issue 2. P. 469–477. Available at: http://www.e-m-h.org/Mark91.pdf

Mandelbrot B. B. (1997) Fractals and Scaling in Finance: Discontinuity, Concentration, Risk. Springer.

Ormerod P. (2005) Why Most Things Fail: Evolution, Extinction and Economics, Faber & Faber, pp. 225

Malevergne Y., Sornette D. (2006) Extreme Financial Risks: From Dependence to Risk Management. Springer, Heidelberg.

Fama E. F. and Kenneth R.F. (2004) The Capital Asset Pricing Model: Theory and Evidence. Journal of Economic Perspectives, no. 18 (3), pp. 25–46.

Taleb N. N. (2007) The Black Swan: The Impact of the Highly Improbable. New York: Random House.

Engle R. F., Lilien D. M., Robins R. P. (1987) Estimation of Time Varying Risk Premia in the Term Structure: the ARCH-M Model. Econometrica, no. 55 (2), pp. 391–407.

Friedrich B. (2015) Trade Shocks, Firm Hierarchies and Wage Inequality. Economics Working Papers 2015-26, Department of Economics and Business Economics, Aarhus University.

Wilmott P. (2000) The use, misuse and abuse of mathematics in finance Phil. Trans. R. Soc. A., no. 358, pp. 63–73.

Bookstaber R. (2017) The End of Theory: Financial Crises, the Failure of Economics, and the Sweep of Human Interaction. Princeton: Princeton University Press, 240 p.

Akerlof G. & Kranton R. (2010). Identity Economics: How Our Identities Shape Our Work, Wages, and Well-Being. Princeton: Princeton University Press.

Merton R. C. (1995) Financial Innovation and the Management and Regulation of Financial Institutions. Journal of Banking and Finance, no. 19, pp. 461–481.

Dieci R., Schmitt N. and Westerhoff F. (2018) Steady states, stability and bifurcations in multi-asset market models.

Kondratieva T. V. (2015) Tochky bifurkatsii na traiektorii rozvytku sotsialno-ekonomichnykh system. Ekonomichnyi visnyk Donbasu, no. 2 (40), pp. 39–44. (in Ukrainian)

Korchevska L. O. (2020) Adaptatsiini ta bifurkatsiini stratehii upravlinnia ekonomichnoiu bezpekoiu pidpryiemstva. Akademichnyi ohliad, no. 1, pp. 26-37. Available at: http://nbuv.gov.ua/UJRN/ao_2020_1_4 (in Ukrainian)

Maslii N. D. (2018) Bifurkatsiina model rozvytku sfery zviazku ta informatyzatsii pid vplyvom kryzovykh yavyshch. Sotsialno–ekonomichni problemy suchasnoho periodu Ukrainy, no. 6 (134), pp. 132–138 (in Ukrainian).

Polevyk H. M. (2013) Poniattia bifurkatsii ta yoho zastosuvannia v upravlinni ekonomikoiu. Aktualni problemy rozvytku ekonomiky rehionu, no. 9 (2), pp. 258-264. Available at: http://nbuv.gov.ua/UJRN/aprer_2013_9%282%29__49 (in Ukrainian)

Published
2023-12-20
How to Cite
Prishchenko, A. (2023). DECISION-MAKING AT BIFURCATION POINTS IN THE DEVELOPMENT OF FINANCIAL AND ECONOMIC SYSTEMS: CAUSES, CONSEQUENCES, WAYS TO REDUCE UNCERTAINTY. Change Management and Innovation, (8), 35-42. https://doi.org/10.32782/CMI/2023-8-6