Trusova N. V., Doctor of Economic Sciences, Professor, Professor of the Depart-ment of Finance, Accounting and Taxation Dmytro Motornyi Tavria State Agrotechnological University, Zaporizhzhia, Ukraine

ORCID ID: 0000-0001-9773-4534
e-mail: trusova_natalya5@ukr.net

Kondratska N. M., PhD in Economics, Associate Professor, Associate Professor of the Department of Finance and economic security National University of Water and Environmental Engineering, Rivne, Ukraine

ORCID ID: 0000-0001-9103-6241
e-mail: n.m.kondratska@nuwm.edu.ua

Duma V. L., PhD in Economics, Associate Professor, Associate Professor of the De-partment of Enterprise Economics and International Business National University of Water and Environmental Engineering, Rivne, Ukraine

ORCID ID: 0000-0002-6568-8884
e-mail: v.l.duma@nuwm.edu.ua

Sustainability of the Development of Derivative Financial Instruments in the Banking System

Abstract. Introduction. The article considers empirical calculations of sustainable of the development of de-rivative financial instruments in the banking system. Purpose. The calculations of forecasting the index of the first stock trading system (FSTS) for sustainable market development is presented, taking into account the lack of normal distribution of fi-nancial resources in the banking system.

Purpose. The purpose of the study is to carry out empirical calculations and forecast the index of the first stock trading system (PFTS) for the sustainable development of the market in view of the lack of normal distribution of financial resources in the banking system.

Results. It is substantiated that when choosing the model and setting the option price, it is nec-essary to take into account the theoretical generality and composition of the efficiency estimate the parameters. It is proved that the rate of average variable for efficiency es-timate the parameters in the modeling, analysis of stableof important market parame-ters is determined using the moments of past periods. The real and forecast value of FSTS volatility at different values of the model parameter is developed. A model of implied volatility for the FSTS index is built. It is substantiated that the formulation of sustainable development of the market of derivative financial instruments takes into account all its semantic and financial features of resisting the influence of external and internal factors (shocks, imbalances) and maintaining dynamic equilibrium to ensure the parameters of the entire financial system needed to form positive feedback be-tween financial and real sector of the economy. The ratio of the nominal value of de-rivative financial instruments and world GDP was estimated.

Conclusions. Maps of the market value of over-the-counter DFI, gross risk exposure in the over-the-counter DFI market and the nominal value of exchange-traded PFI are presented. The factor models of influence on the development of the exchange-traded and over-the-counter PFI market of world and national levels are constructed.

Keywords: derivative financial instruments; banking system; options; stock market; risks.

References:

1. Britchenko, I., & Cherniavska, T. (2019). Blockchain technology in the fiscal process of Ukraine optimization. Ikonomicheski Izsledvania, 28(5), 134-147 [in English]
2. Compilation Guide on Financial Soundness Indicators. Washington D.C. : IMF. Retrieved from : http://www.imf.org/external/np/stafsi/eng/2004/guide/index.htm [in English].
3. Demirguc-Kunt, A., & Detragiache, E. (1998). The determinants of banking crises in developing and developed countries. International Monetary Fund, 45 (1), 29 [in English].
4. Dodd, R. (2002).The Structure of OTC Derivatives Markets. The Financier, 9. Retrieved from : http://www.financialpolicy.org/dscotcstructure.pdf [in English].
5. Dore, R. (2008). Financialization of the global economy. Industrial and Corporate Change, 17(6), 1097-1112 [in English].
6. Duffie, D., Li, A., & Lubke, Th. (2010). Policy Perspectives on OTC Derivatives Market Infrastructure : Staff Report. Federal Reserve Bank of New York, 424, 30 [in English].
7. Frankel, J.A., & Rose, A. K. (1996). Currency Crashes in Emerging Markets: Empirical Indicators. NBER Working Paper, 5437, 28 [in English].
8. Kaldor, N. (1939). Speculation and Economic Stability. Review of Economic Studies, 7, 1-27 [in English].
9. Kumar, R. (2015). Effect of volatility clustering on indifference pricing of options by convex risk measures. Applied Mathematical Finance, 22(1), 63-82 [in English].
10. Kyshakevych, B., & Klymkovych,  I. (2018). Estimation of Z-score for Ukrainian banking system. Scientific Journal of Polonia University, 30, 43-51 [in English].
11. Laeven, L., & Valencia, F. (2008). Systemic  Banking  Crisis :  A New Database. IMF Working Papers, 8(224), 78 [in English].
12. Nwaovi, Godwin C. (2008). The Economics of Financial Derivative Instruments. MPRA Paper, 9463. Retrieved from : http://mpra.ub.uni-muenchen.de/9463/  [in English].
13. Quarterly review 2012-2021. Bank for International Settlements. Retrieved from: http://www.bis.org/statistics [in English].
14. Trusova, N. V., Hryvkivska, O. V., Melnyk, L. V., Gerasymova, O. V., & Tereshchenko, M. A. (2021). The risks of payment systems of banking institutions of Ukraine. Universal Journal of Accounting and Finance, 9(4). 637-652 [in English].
15. Trusova, N. V., Melnyk, L. V., Shіlo, Z. S., & Prystеmskyi,  O. S. (2021). Credit-Investment Activity of Banks of the Ukraine : Financial Globalization, Risks, Stabilization. Universal Journal of Accounting and Finance, 9(3), 450-468 [in English].