Analysis of Dynamic Connectedness among Sovereign CDS Premia

Main Article Content

Özcan Ceylan
https://orcid.org/0000-0003-2924-2903

Abstract

This paper studies the dynamics of spillovers between sovereign Credit Default Swap (CDS) premia of nine countries, including Turkey, Russia, Brazil, South Africa, China, Germany, France, Italy and Spain. Weekly CDS data spans from July 2012 through June 2022. Adopting the methodology developed by Diebold & Yılmaz (2014), several connectedness measures are computed based on generalized forecast error variance decompositions generated through a time-varying parameter vector autoregressive model (TVP-VAR). The results show that the network’s connectedness level increased significantly during the COVID-19 outbreak and the Ukrainian war. Higher connectedness levels among European markets and developing countries are observed. Especially the connectedness levels between South Africa and other developing countries are remarkably high. The results reveal both fundamental-based and pure contagion channels and provide insight into the dynamic network of risk spillovers. A thorough understanding of international risk transmission channels is crucial for policy-makers and global investors regarding risk mitigation.


JEL classification:  F36, G15, H63


Keywords: Connectedness, Sovereign CDS premia, Spillovers, TVP-VAR analysis

Downloads

Download data is not yet available.

Article Details

How to Cite
Ceylan, Özcan (2023) “Analysis of Dynamic Connectedness among Sovereign CDS Premia”, World Journal of Applied Economics, 9(1), pp. 33-47. doi: 10.22440/wjae.9.1.2.
Section
Research Articles

References

Acemoglu, D., Ozdaglar, A., & Tahbaz-Salehi, A. (2015). Systemic risk and stability in financial networks. American Economic Review, 105, 564-608. doi:10.1257/aer.20130456

Aizenman, J., Hutchison, M., & Jinjarak, Y. (2013). What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk. Journal of International Money and Finance, 34, 37-59. doi:10.1016/j.jimonfin.2012.11.011

Allen, F., & Gale, D. (2000). Financial contagion. Journal of Political Economy, 18, 1-33. doi:10.1086/262109

Alter, A., & Beyer, A. (2014). The dynamics of spillover effects during the European sovereign debt turmoil. Journal of Banking and Finance, 42, 134-153. doi:10.1016/j.jbankfin.2014.01.030

Ang, A., & Longstaff, F. A. (2013). Systemic sovereign credit risk: Lessons from the U.S. and Europe. Journal of Monetary Economics, 60, 493-510. doi:10.1016/j.jmoneco.2013.04.009

Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13, 84. doi:10.3390/jrfm13040084

Augustin, P., Sokolovski, V., Subrahmanyam, M. G., & Tomio, D. (2022). In sickness and in debt: The covid-19 impact on sovereign credit risk. Journal of Financial Economics, 143, 1251-1274. doi:10.1016/j.jfineco.2021.05.009

Baig, T., & Goldfajn, I. (1999). Financial market contagion in the Asian crisis. IMF Staff Papers, 46, 167-195. doi:10.2307/3867666

Barberis, N., & Shleifer, A. (2003). Style investing. Journal of Financial Economics, 68, 161-199. doi:10.1016/S0304-405X(03)00064-3

Barberis, N., Shleifer, A., & Wurgler, J. (2005). Comovement. Journal of Financial Economics, 75, 283-317. doi:10.1016/j.jfineco.2004.04.003

Bekaert, G., Harvey, C. R., & Ng, A. (2005). Market integration and contagion. Journal of Business, 78, 39-69. doi:10.1086/426519

Berg, A., & Patillo, C. (1999). Are currency crises predictable? A test. IMF Staff Papers, 46, 107-138. doi:10.2307/3867664

Bostanci, G., & Yilmaz, K. (2020). How connected is the global sovereign credit risk network? Journal of Banking and Finance, 113, 105761. doi:10.1016/j.jbankfin.2020.105761

Bouoiyour, J., & Selmi, R. (2019). Brexit and CDS spillovers across UK and Europe. European Journal of Comparative Economics, 16, 105-124. doi:10.25428/1824-2979/201901-105-124

Bouri, E., Shahzad, S. J., Raza, N., & Roubaud, D. (2018). Oil volatility and sovereign risk of BRICS. Energy Economics, 70, 258-269. doi:10.1016/j.eneco.2017.12.018

Brunnermeier, M. K., Garicano, L., Lane P., R., Pagano, M., Reis, R., Santos, T., . . . Vayanos, D. (2016). The sovereign-bank diabolic loop and ESBies. American Economic Review, 106, 508-512. doi:10.1257/aer.p20161107

Calvo, S., & Reinhart, C. M. (1996). Capital flows to Latin America: Is there evidence of contagion effects? In G. G. Calvo (Ed.), Private Capital Flows to Emerging Markets. Institute for International Economics, Washington DC.

De Santis, R. A. (2012). The Euro area sovereign debt crisis: Safe haven, credit rating agencies and the spread of the fever from Greece, Ireland and Portugal. Working Paper, ECB.

Del Negro, M., & Primiceri, G. E. (2015). Time varying structural vector autoregressions and monetary policy: A corrigendum. Review of Economic Studies, 82, 1342-1345. doi:10.1093/restud/rdv024

Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. Economic Journal, 119, 158-171. doi:10.1111/j.1468-0297.2008.02208.x

Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28, 57-66. doi:10.1016/j.ijforecast.2011.02.006

Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182, 119-134. doi:10.1016/j.jeconom.2014.04.012

Doshi, H., Jacobs, K., & Zurita, V. (2017). Economic and financial determinants of credit risk premiums in the sovereign CDS market. Review of Asset Pricing Studies, 7, 43-80. doi:10.1093/rapstu/rax009

Dungey, M., Fry, R., Gonzalez-Hermosillo, B., & Martin, V. L. (2005). Empirical modelling of contagion: A review of methodologies. Quantitative Finance, 5, 9-24. doi:10.1080/14697680500142045

Eichengreen, B., Rose, A. K., & Wyplosz, C. (1996). Contagious Currency Crises: First Tests. Scandinavian Journal of Economics, 98, 463-484. doi:10.2307/3440879

Feng, Q., Sun, X., Liu, C., & Li, J. (2021). Spillovers between sovereign CDS and exchange rate markets: The role of market fear. North American Journal of Economics and Finance, 55, 1-42. doi:10.1016/j.najef.2020.101308

Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: measuring stock market comovements. Journal of Finance, 17, 2223-2261. doi:10.1111/0022-1082.00494

Gai, P., & Kapadia, S. (2010). Contagion in financial networks. Working Paper, Bank of England.

Guo, Y., Li, P., & Li, A. (2021). Tail risk contagion between international financial markets during COVID-19 pandemic. International Review of Financial Analysis, 73, 101649. doi:10.1016/j.irfa.2020.101649

Hui, C.-H., & Fong, T. P.-W. (2015). Price cointegration between sovereign CDS and currency option markets in the financial crises of 2007-2013. International Review of Economics and Finance, 40, 174-190. doi:10.1016/j.iref.2015.02.011

Jeanneret, A. (2018). Sovereign credit spreads under good/bad governance. Journal of Banking and Finance, 93, 230-246. doi:10.1016/j.jbankfin.2018.04.005

Karolyi, G. A., & McLaren, K. J. (2017). Racing to the exits: International transmission of funding shocks during the Federal Reserve’s taper experiment. Emerging Market Review, 32, 96-115. doi:10.1016/j.ememar.2017.05.009

Khallouli, W., & Sandretto, R. (2012). Testing for ``contagion'' of the subprime crisis on the Middle East and North African stock markets: A Markov switching EGARCH approach. Journal of Economic Integration, 27, 134-166. doi:10.11130/jei.2012.27.1.134

King, M., & Wadhwani, S. (1990). Transmission of volatility between stock markets. Review of Financial Studies, 3, 5-33. doi:10.1093/rfs/3.1.5

Koop, G., & Korobilis, D. (2014). A new index of financial conditions. European Economic Review, 71, 101-116. doi:10.1016/j.euroecorev.2014.07.002

Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74, 119-147. doi:10.1016/0304-4076(95)01753-4

Le, C., Dickinson, D., & Le, A. (2022). Sovereign risk spillovers: A network approach. Journal of Financial Stability, 60, 101006. doi:10.1016/j.jfs.2022.101006

Lin, W. L., Engle, R., & Ito, T. (1994). Do bulls and bears move across borders? International transmission of stock returns and volatility. Review of Financial Studies, 7, 507–538. doi:10.1093/rfs/7.3.507

Longstaff, F. A., Pan, J., Pedersen, L. H., & Singleton, K. J. (2011). How sovereign is sovereign credit risk? American Economic Journal: Macroeconomics, 3, 75-103. doi:10.3386/w13658

Masson, P. (1998). Contagion: Monsoonal Effects, Spillovers, and Jumps between Multiple Equilibria. Working Paper, IMF.

Naifar, N., & Shahzad, S. J. (2022). Tail event-based sovereign credit risk transmission network during COVID-19 pandemic. Finance Research Letters, 45, 102182. doi:10.1016/j.frl.2021.102182

Pesaran, M. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58, 17-29. doi:10.1016/S0165-1765(97)00214-0

Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72, 821-852. doi:10.1111/j.1467-937X.2005.00353.x

Sabkha, S., de Peretti, C., & Hmaied, D. M. (2019). International risk spillover in sovereign credit markets: An empirical analysis. Managerial Finance, 45, 1020-1040. doi:10.1108/MF-11-2017-0490

Srivastava, S., Lin, H., Premachandra, I. M., & Roberts, H. (2016). Global risk spillover and the predictability of sovereign CDS spread: International evidence. International Review of Economics and Finance, 41, 371-390. doi:10.1016/j.iref.2015.10.047