Russia, China and the USA: perception of effects in the corporate bond market
https://doi.org/10.18184/2079-4665.2024.15.4.576-592
Abstract
Purpose: is to identify the dynamics of mutual influences and risks in the corporate bond markets of Russia, China, and the United States under conditions of external environmental instability.
Methods: the methods of comparative and econometric analysis of daily data from 2016 to 2024 were used, including the average yields of short- and medium-term corporate and the government bonds of the Russian Federation, China and the United States, selling prices of gold, oil, exchange rates, refinancing rates. GARCH models for forecasting the volatility of the index of corporate bonds of the Russian Federation and China under the influence of internal and external factors, multidimensional quantile regression for industries of the Russian Federation are calculated.
Results: six stages of changes in the dynamics of the corporate bond debt market under the influence of the market itself and external factors were highlighted. Periodization made it possible to study the impact of short-term and long-term effects of shocks on the debt market. For the Russian Federation, the volatility weight of the previous period is more than twice the weight of the long-term average volatility. For China, this ratio is even higher. The debt market of the Russian Federation is influenced by the debt markets of China and the United States, but the opposite has not been proven. Three groups of branches of the Russian economy have been formed according to the generality of reaction to external influences.
Conclusions and Relevance: during crisis periods, the weight of long-term average market volatility and local factors increases, while that of external factors decreases. Understanding the interactions of internal and external factors allows investors to anticipate market fluctuations, adapt and protect capital. For the Government, this provides an opportunity to develop scientifically sound risk forecasts and use new financial instruments such as yuan bonds.
Keywords
About the Authors
G. F. RomashkinaRussian Federation
Gulnara F. Romashkina, Doctor of Economic Sciences, Professor; Department of Economic Security, System Analysis and Control
Researcher ID: O-7221-2017, Scopus ID: 57219916692
Tyumen
Yu. A. Yukhtanova
Russian Federation
Yuliya A. Yukhtanova, Candidate of Economic Sciences, Associate Professor; Department of Economic Security, System Analysis and Control
Researcher ID: AEI-2479-2022, Scopus ID: 57207889888
Tyumen
A. A. Bogdanenko
Russian Federation
Anna A. Bogdanenko, Research Engineer, Economics; Department of Economic Security, System Analysis and Control
Tyumen
References
1. Issa S., Gevorkyan A.V. Optimal corporate leverage and speculative cycles: an empirical estimation // Structural Change and Economic Dynamics. 2022. Vol. 62. P. 478–491. https://doi.org/10.1016/j.strueco.2022.06.002
2. Stoupos N., Kiohos A. Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states // The North American Journal of Economics and Finance. 2022. Vol. 63. P. 101827. https://doi.org/10.1016/j.najef.2022.101827
3. Zhao M., Park H. Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets // International Review of Financial Analysis. 2024. Vol. 93. P. 103198. https://doi.org/10.1016/j.irfa.2024.103198
4. Lian Y., Ye T., Zhang Y., Zhang L. How does corporate ESG performance affect bond credit spreads: Empirical evidence from China // International Review of Economics & Finance. 2023. Vol. 85. P. 352–371. https://doi.org/10.1016/j.iref.2023.01.024
5. Elsayed A.H., Naifar N., Nasreen S., Tiwari A.K. Dependence structure and dynamic connectedness between green bonds and financial markets: Fresh insights from time-frequency analysis before and during COVID-19 pandemic // Energy Economics. 2022. Vol. 107. P. 105842. https://doi.org/10.1016/j.eneco.2022.105842
6. Cevik E.I., Terzioglu H.C., Kilic Y., Bugan M.F., Diboogluet S. Interconnectedness and systemic risk: Evidence from global stock markets // Research in International Business and Finance. 2024. Vol. 69. P. 102282. https://doi.org/10.1016/j.ribaf.2024.102282
7. Alshammari S., Andriosopoulos K., Kaabia O., Mohamed K.S., Urom C. The interplay among corporate bonds, geopolitical risks, equity market, and economic uncertainties // International Review of Financial Analysis. 2024. V. 95. Part A. P. 103350. https://doi.org/10.1016/j.irfa.2024.103350
8. De Wet C. Geopolitical risks and yield dynamics in the Australian sovereign bond market // Journal of Risk and Financial Management. 2023. Vol. 16. Iss. 3. P. 144. https://doi.org/10.3390/jrfm16030144
9. Bouteska A., Hassan M.K., Rashid M., Bilgin M.H. The dynamics of bonds, commodities and bitcoin based on NARDL approach // The Quarterly Review of Economics and Finance. 2024. Vol. 94. P. 58–70. https://doi.org/10.1016/j.qref.2023.12.013
10. Belova M.T., Savosina E.I., Sushkov A.A. Development perspectives of the Russian corporate bond market under sanctions. Financial markets and banks. 2023; (4):53–58. EDN: https://elibrary.ru/tqnlvw (In Russ.)
11. Kozlov V.M The Russian corporate bond market: growth opportunities under sanctions. Innovations and investments. 2023; (1):115–118. EDN: https://elibrary.ru/cnbfbl (In Russ.)
12. Polyakova T.N. Russian market of exchange-traded bonds: analysis of circulation. Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk. 2023; (3):64–83. EDN: https://elibrary.ru/pgesbx. https://doi.org/10.52180/2073-6487_2023_3_64_83 (In Russ.)
13. Diebold F.X., Yilmaz K. Measuring financial asset return and volatility spillovers, with application to global equity markets // The Economic Journal. 2008. Vol. 119. Iss. 534. P. 158–171. https://doi.org/10.1111/j.1468-0297.2008.02208.x
14. Samitas A., Kampouris E., Umar Z. Financial contagion in real economy: The key role of policy uncertainty // International Journal of Finance & Economics. 2022. Vol. 27. Iss. 2 P. 1633–1682. https://doi.org/10.1002/ijfe.2235
15. Le T.P.T.D., Tran H.L.M. The contagion effect from US stock market to the Vietnamese and the Philippine stock markets: The evidence of DCC-GARCH model // The Journal of Asian Finance, Economics and Business. 2021. Vol. 8. Iss. 2. P. 759–770. https://doi.org/10.13106/jafeb.2021.vol8.no2.0759
16. Antonakakis N., Cunado J., Filis G., Gabauer D., Perez de Gracia F. Dynamic connectedness among the implied volatilities of oil prices and financial assets: New evidence of the COVID-19 pandemic // International Review of Economics & Finance. 2023. Vol. 83. P. 114–123. https://doi.org/10.1016/j.iref.2022.08.009
17. Mensi W., Alomari M., Vo X.V., Kang S.H. Extreme quantile spillovers and connectedness between oil and Chinese sector markets: A portfolio hedging analysis // The Journal of Economic Asymmetries. 2023. Vol. 28, P. e00327. https://doi.org/10.1016/j.jeca.2023.e00327
18. Lin X., Meng Y., Zhu H. Exploring hedging potentials of green bonds against oil price shocks: Evidence from quantile-on-quantile connectedness measures // Finance Research Letters. 2024. Vol. 65. P. 105640. https://doi.org/10.1016/j.frl.2024.105640
19. Behanzin S.O.P.R., Konté M.A., Sène B. Systemic risk of sovereign debt on West African Economic and Monetary Union's treasury securities market: Estimation of a delta-CoVaR model // In book: Reference Module in Social Sciences. Elsevier, 2024. https://doi.org/10.1016/b978-0-44-313776-1.00076-3
20. Drapkin I.M., Vasilyeva R.I., Kandalintseva A.A. Determinants of high-tech export: evidence from a crosscountry analysis // R-Economy. 2024. Vol. 10. Iss. 1. P. 41–54. EDN: https://elibrary.ru/goqwkr. https://doi10.15826/recon.2024.10.1.003
21. Lee K. Which uncertainty measures matter for the cross-section of corporate bond returns? Evidence from the U.S. during 1973–2020 // Finance Research Letters. 2022. Vol. 48. P. 102913. https://doi.org/10.1016/j.frl.2022.102913
22. Doğan B., Trabelsi N., Tiwari A.K., Ghosh S. Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty // The Quarterly Review of Economics and Finance. 2023. Vol. 89. P. 36–62. https://doi.org/10.1016/j.qref.2023.02.006
23. Gormus A., Nazlioglu S., Soytas U. High-yield bond and energy markets // Energy Economics. 2018. Vol. 69. P. 101–110. https://doi.org/10.1016/j.eneco.2017.10.037
24. Umar Z., Abrar A., Hadhri S., Sokolova T. The connectedness of oil shocks, green bonds, sukuks and conventional bonds // Energy Economics. 2023. Vol. 119. P. 106562. https://doi.org/10.1016/j.eneco.2023.106562
25. Lai F., Xiong D., Zhu S., Li Y., Tan Y. Will geopolitical risks only inhibit corporate investment? Evidence from China // Pacific-Basin Finance Journal. 2023. Vol. 82. P. 102134. https://doi.org/10.1016/j.pacfin.2023.102134
26. Caldara D., Iacoviello М. Measuring geopolitical risk // American Economic Review. 2022. Vol. 112. Iss. 4. Р. 1194–1225. https://doi.org/10.1257/aer.20191823
27. Bai J., Bali T.G., Wen Q. Is there a risk-return tradeoff in the corporate bond market? Time-series and crosssectional evidence // Journal of Financial Economics. 2021. Vol. 142. Iss. 3. P. 1017–1037. https://doi.org/10.1016/j.jfineco.2021.05.003
28. Li Y., Chen S., Sensoy A., Wang L. Over-expected shocks and financial market security: Evidence from China's markets // Research in International Business and Finance. 2024. Vol. 68. P. 102194. https://doi.org/10.1016/j.ribaf.2023.102194
29. Almansour B.Y., Elkrghli S., Gaytan J.C.T., Mohnot R. Interconnectedness dynamic spillover among US, Russian, and Ukrainian equity indices during the COVID-19 pandemic and the Russian-Ukrainian war // Heliyon. Vol. 9. Iss. 12. P. e22974. https://doi.org/10.1016/j.heliyon.2023.e22974
30. Roy A., Soni A., Deb S. A wavelet-based methodology to compare the impact of pandemic versus RussiaUkraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets // Energy Economics. 2023. Vol. 124. P. 106830. https://doi.org/10.1016/j.eneco.2023.106830
Review
For citations:
Romashkina G.F., Yukhtanova Yu.A., Bogdanenko A.A. Russia, China and the USA: perception of effects in the corporate bond market. MIR (Modernization. Innovation. Research). 2024;15(4):576-592. (In Russ.) https://doi.org/10.18184/2079-4665.2024.15.4.576-592