Borsalar, Faiz Oranları ve Döviz Kurlarının Kredi Temerrüt Takası Primleri Üzerindeki Etkisi: Gelişmiş ve Gelişmekte Olan Ekonomiler Örneği

Öz

Bu çalışma, tahvil getirileri, getiri eğrileri, döviz kurları, borsa endeksleri ve piyasa oynaklığının Kredi Temerrüt Takası (CDS) üzerindeki etkisini incelemeyi amaçlamaktadır. Çalışma, dünya GSYH’sinin yaklaşık %77’sini oluşturan 33 ülkenin verileri kullanarak yapılmıştır. CDS belirleyicileri, ülkelerin gelişmişlik düzeyine göre gruplandırılmış, örneklem gelişmiş ve gelişmekte olan ekonomiler olarak ikiye ayrılmıştır. Çalışma ayrıca Avrupa borç krizi, ABD borç tavanı krizi, petrol şoku, ABD-Çin ticaret savaşı, COVID-19 pandemisi, Rusya’nın Ukrayna’yı işgali ve İsrail-Hamas çatışması gibi küresel ve bölgesel risk faktörlerinin etkilerini de kapsamaktadır. 1 Ocak 2010 – 30 Ağustos 2024 dönemini kapsayan haftalık veriler kullanılmıştır. Analizde, Pesaran’ın (2006) Common Correlated Effects Mean Group tahmincisi ile Eberhardt ve Bond’un (2009) Augmented Mean Group yöntemi uygulanmıştır. Bulgular, tahvil getirilerinin hem gelişmiş hem de gelişmekte olan ekonomilerde CDS üzerinde pozitif bir etkisi olduğunu göstermektedir. Borsa endeksleri CDS’i negatif yönde etkilerken, döviz kurları gelişmiş ekonomilerde CDS’i negatif, gelişmekte olan ekonomilerde ise pozitif yönde etkilemektedir.

Anahtar Kelimeler

• Kredi Temerrüt Takası
• Borsalar
• Tahvil Getirisi
• Döviz Kurları
• Panel Veri Analizi

The Impact of Stock Markets, Interest Rates, and Exchange Rates on Credit Default Swap Premiums: Evidence from Advanced and Emerging Economies

Öz

This study aims to examine how bond yields, yield curves, exchange rates, stock indices, and market volatility impact Credit Default Swap (CDS) spreads. This study tries to reach a larger sample size by using weekly data from 33 countries, which account for about 77% of the world’s GDP. CDS determinants are identified by country development level, and the sample is divided into advanced and emerging economies. The study also covers the effects of global and regional risk factors such as the European debt crisis, the US debt ceiling crisis, the oil shock, the US-China trade war, COVID-19, Russia’s invasion of Ukraine, and the Israel-Hamas conflict. It uses weekly data from 33 countries (both advanced and emerging markets) covering the period from January 1, 2010, to August 30, 2024. In the analysis, the Common Correlated Effects Mean Group estimator proposed by Pesaran (2006) and the Augmented Mean Group approach developed by Eberhardt and Bond (2009) are employed. Results show that bond yields have a positive effect on CDS spreads in both advanced and emerging economies. Stock market indices negatively affect CDS spreads, while exchange rates negatively impact CDS spreads in advanced economies but positively in emerging markets.

Anahtar Kelimeler

• Credit Default Swap
• Stock Markets
• Bond Yield
• Exchange Rates
• Panel Data Analysis

Kaynakça

1. Abid, F. and Naifar, N. (2006). The determinants of credit default swap rates: An explanatory study. International Journal of Theoretical and Applied Finance, 9(01), 23-42. https://doi.org/10.1142/S0219024906003445Cited
2. Akyol, H. and Baltacı, N. (2019). CDS primlerinin makroekonomik belirleyicilerinin incelenmesi: ARDL sınır testi yaklaşımı. Global Journal of Economics and Business Studies. 8(16), 33-49. https://izlik.org/JA92NS46LE
3. Apergis, N., Danuletiu, D. and Xu, B. (2022). CDS spreads and COVID-19 pandemic. Journal of International Financial Markets, Institutions and Money, 76, 101433. https://doi.org/10.1016/j.intfin.2021.101433
4. Benbouzid, N. and Mallick, S. (2013). Determinants of bank credit default swap spreads: The role of the housing sector. The North American Journal of Economics and Finance, 24, 243-259. http://dx.doi.org/10.1016/j.najef.2012.10.004
5. Bomfim, A.N. (2022). Credit default swaps (FED Finance and Economics Discussion Series Paper No. 2022-023). Retrieved from https://www.federalreserve.gov/econres/feds/files/2022023pap.pdf
6. Buz, N.E. and Kucukkocaoglu, G. (2023). Ülke kredi temerrüt takas (CDS) primini etkileyen faktörler, Türkiye uygulaması. Muhasebe Bilim Dünyası Dergisi, 25(1), 27-52. https://doi.org/10.31460/mbdd.1058157
7. Can, H. and Paskaleva, M. (2017). Macroeconomic determinants of CDS: The case of Europe. New Knowledge Journal of Science, 6(3). Retrieved from http://science.uard.bg
8. Collin-Dufresn, P., Goldstein, R. and S., Martin, J.S. (2001). The determinants of credit spread changes. The Journal of Finance, 56(6), 2177-2207. https://doi.org/10.1111/0022-1082.00402

9. Das, S.R., Hanouna, P. and Sarin, A. (2009). Accounting-based versus market-based cross-sectional models of CDS spreads. Journal of Banking & Finance, 33(4), 719-730. https://doi.org/10.1016/j.jbankfin.2008.11.003
10. Di Cesare, A. and Guazzarotti, G. (2010). An analysis of the determinants of credit default swap spread changes before and during the subprime financial turmoil (Banca D’Italia Working Paper No. 749). http://dx.doi.org/10.2139/ssrn.1670045
11. Dural, F. and Sarıoglu, S.E. (2020). Kredi temerrüt swapları ve gelişmekte olan ülkeler üzerine karşılaştırmalı bir analiz. Bursa Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 39(2), 87-118. Retrieved from https://dergipark.org.tr/tr/pub/bujes
12. Eberhardt, M. and Bond, S. (2009). Cross-section dependence in nonstationary panel models: A novel estimator (MPRA Paper No. 17692). Retrieved from https://mpra.ub.uni-muenchen.de/id/eprint/17692
13. Ericsson, J., Jacobs, K. and Oviedo, R. (2009). The determinants of credit default swap premia. Journal of Financial and Quantitative Analysis, 44(1), 109-132. https://doi.org/10.1017/S0022109009090061
14. Eyssell, T., Fung, H.G. and Zhang, G. (2013). Determinants and price discovery of China sovereign credit default swaps. China Economic Review, 24, 1-15. http://dx.doi.org/10.1016/j.chieco.2012.09.003
15. Feng, Q., Wang, Y., Sun, X., Li, J., Guo, K. and Chen, J. (2022). What drives cross-border spillovers among sovereign CDS, foreign exchange and stock markets? Global Finance Journal, 56, 100773. https://doi.org/10.1016/j.gfj.2022.100773
16. Galil, K., Shapir, O. M., Amiram, D. and Ben-Zion, U. (2014). The determinants of CDS spreads. Journal of Banking & Finance, 41, 271-282. https://doi.org/10.1016/j.jbankfin.2013.12.005
17. Günay, S., Cevik, E.I. and Dibooglu, S. (2023). Volatility spillover networks of credit risk: Evidence from ASW and CDS spreads in Turkey and Brazil. Panoeconomicus, 71(4), 1-36. https://doi.org/10.2298/PAN210220007G
18. Haddou, S. (2024). Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods. The North American Journal of Economics and Finance, 71, 102087. https://doi.org/10.1016/j.najef.2024.102087
19. Hasan, I., Marra, M., To, T.Y., Wu, E. and Zhang, G. (2023). COVID-19 pandemic and global corporate CDS spreads. Journal of Banking & Finance, 147, 106618. https://doi.org/10.1016/j.jbankfin.2022.106618
20. Ho, S.H. (2016). Long and short-runs determinants of the sovereign CDS spread in emerging countries. Research in International Business and Finance, 36, 579-590. http://dx.doi.org/10.1016/j.ribaf.2015.07.001
21. Huang, W., Lin, S. and Yang, J. (2018). Institutional quality and sovereign credit default swap spreads. Journal of Futures Markets, 39(6), 686-703. https://doi.org/10.1016/j.jfineco.2018.07.011
22. Jitmaneeroj, B. (2018). Is Thailand’s credit default swap market linked to bond and stock markets? Evidence from the term structure of credit spreads. Research in International Business and Finance, 46, 324-341. https://doi.org/10.1016/j.ribaf.2018.04.006
23. Kim, J. (2019). The effect of systematic default risk on credit risk premiums. Sustainability, 11(21), 6039. https://doi.org/10.3390/su11216039
24. Kim, S.J., Salem, L. and Wu, E. (2015). The role of macroeconomic news in sovereign CDS markets: Domestic and spillover news effects from the US, the Eurozone and China. Journal of Financial Stability, 18, 208-224. http://dx.doi.org/10.1016/j.jfs.2015.04.008
25. Kim, T.S., Park, J.W. and Park, Y.J. (2017). Macroeconomic conditions and credit default swap spread changes. Journal of Futures Markets, 37(8), 766-802. https://doi.org/10.1002/fut.21836
26. Küçüksaraç, D., Kazdal, A., Korkmaz, H.I. and Onay, Y. (2021). A measure of Turkey’s sovereign and banking sector credit risk: Asset swap spreads. Central Bank Review, 21(2), 49-57. https://doi.org/10.1016/j.cbrev.2021.05.001
27. Lim, K., Kim, S. and Kim, S.Y. (2017). Information transfer across intra/inter-structure of CDS and stock markets. Physica A: Statistical Mechanics and its Applications, 486, 118-126. https://doi.org/10.1016/j.physa.2017.05.084
28. Liu, C., Sun, X. and Li, J. (2023). Time-frequency comovements between sovereign CDS and exchange rates: The role of sentiments. Global Finance Journal, 100775. https://doi.org/10.1016/j.gfj.2022.100775
29. Merton, R.C. (1974). On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance, 29(2), 449-470. https://doi.org/10.2307/2978814
30. Miyakawa, D. and Watanabe, S. (2014). What determines CDS prices? Evidence from the estimation of protection demand and supply. International Review of Finance, 14(1), 1-28. https://doi.org/10.1111/irfi.12022
31. Muvunza, T. and Jiang, Y. (2021). Determinants and hedging effectiveness of China’s sovereign credit default swaps. International Journal of Finance & Economics. https://doi.org/10.1002/ijfe.2526
32. Naifar, N. (2020). What explains the sovereign credit default swap spreads changes in the GCC region? Journal of Risk and Financial Management, 13(10), 245. https://doi.org/10.3390/jrfm13100245
33. Oh, B., Park, H. and Joe, D.Y. (2024). Determinants of credit default swap spread changes: The sell-side perspective. Finance Research Letters, 61, 104474. https://doi.org/10.1016/j.frl.2023.104474
34. Oliveira, F.N. and Pinto, R.F. (2016). Determinants of bond spread and credit default swap: Why are they different? The case of petrobras. Revista Contabilidade & Finanças, 27(71), 185-201. https://doi.org/10.1590/1808-057x201501840
35. Olléon-Assouan, E. (2004). Techniques used on the credit derivatives market: Credit default swaps. Financial Stability Review, 4, 94-107. Retrieved from https://publications.banque-france.fr/
36. Pan, W.F., Wang, X., Wu, G. and Xu, W. (2021). The COVID-19 pandemic and sovereign credit risk. China Finance Review International, 11(3), 287-301. https://doi.org/10.1108/CFRI-01-2021-0010
37. Park, K., Luong, L.K. and Fang, Z. (2026). Stock and sovereign risks, and stock, bond and currency returns in crises in an emerging market: An integrated VARX model. Journal of Multinational Financial Management, 100936. https://doi.org/10.1016/j.mulfin.2025.100936
38. Pereira, J., Sorwar, G. and Nurullah, M. (2018). What drives corporate CDS spreads? A comparison across US, UK and EU firms. Journal of International Financial Markets, Institutions and Money, 56, 188-200. https://doi.org/10.1016/j.intfin.2018.02.002
39. Pesaran, M.H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012. https://doi.org/10.1111/j.1468-0262.2006.00692.x
40. Pesaran, M.H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
41. Pesaran, M.H. and Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79-113. https://doi.org/10.1016/0304-4076(94)01644-F
42. Pesaran, M.H., Ullah, A. and Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The Econometrics Journal, 11(1), 105-127. https://doi.org/10.1111/j.1368-423X.2007.00227.x
43. Phillips, P.C. and Sul, D. (2007). Bias in dynamic panel estimation with fixed effects, incidental trends and cross section dependence. Journal of Econometrics, 137(1), 162-188. https://doi.org/10.1016/j.jeconom.2006.03.009
44. Pires, P., Pereira, J.P. and Martins, L.F. (2015). The empirical determinants of credit default swap spreads: A quantile regression approach. European Financial Management, 21(3), 556-589. https://doi.org/10.1111/j.1468-036X.2013.12029.x
45. Qian, Z. and Luo, Q. (2016). Regime-dependent determinants of China’s sovereign credit default swap spread. Emerging Markets Finance and Trade, 52(1), 10-21. https://doi.org/10.1080/1540496X.2015.1062293
46. Rodriguez, I.M., Dandapani, K. and Lawrence, E.R. (2019). Measuring sovereign risk: Are CDS spreads better than sovereign credit ratings? Financial Management, 48(1), 229-256. https://doi.org/10.1111/fima.12223
47. Sabkha, S., De Peretti, C. and Mezzez Hmaied, D. (2019). International risk spillover in sovereign credit markets: An empirical analysis. Managerial Finance, 45(8), 1020-1040. https://doi.org/10.1108/MF-11-2017-0490
48. Samaniego-Medina, R., Trujillo-Ponce, A., Parrado-Martínez, P. and Di Pietro, F. (2016). Determinants of bank CDS spreads in Europe. Journal of Economics and Business, 86, 1-15. https://doi.org/10.1016/j.jeconbus.2016.03.001
49. Shahzad, S.J.H., Nor, S.M., Ferrer, R. and Hammoudeh, S. (2017). Asymmetric determinants of CDS spreads: US industry-level evidence through the NARDL approach. Economic Modelling, 60, 211-230. https://doi.org/10.1016/j.econmod.2016.09.003
50. Sonenshine, R. and Aboulhosn, A. (2025). Impact of political risk on emerging market risk premiums and risk adjusted returns. Research in International Business and Finance, 73, 102573. https://doi.org/10.1016/j.ribaf.2024.102573
51. Sunal, O. and Yağcı, F. (2024). The determinants of Turkish CDS volatility: An ARDL approach covering COVID period. The Quarterly Review of Economics and Finance, 97, 101887. https://doi.org/10.1016/j.qref.2024.101887
52. Szafranek, K., Kwas, M., Szafrański, G. and Wośko, Z. (2020). Common determinants of credit default swap premia in the North American oil and gas industry. A panel BMA approach. Energies, 13(23), 6327. https://doi.org/10.3390/en13236327
53. Şenol, Z. (2021). Borsa endeksi, döviz kuru, faiz oranları ve CDS primleri arasındaki oynaklık yayılımları: Türkiye Örneği. Business and Economics Research Journal, 12(1), 111-126. http://dx.doi.org/10.20409/berj.2021.313
54. Wang, A.T. and Liang, C.C. (2024). Exchange rates, credit default swaps and market volatility of emerging markets: Panel CS-ARDL approach. Borsa Istanbul Review, 24(1), 176-186. https://doi.org/10.1016/j.bir.2023.12.001
55. Weber, M., Duffy, J. and Schram, A. (2024). Regulation and the demand for credit default swaps in experimental bond markets. European Economic Review, 165, 104745. https://doi.org/10.1016/j.euroecorev.2024.104745
56. Yang, L., Yang, L. and Hamori, S. (2018). Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries. International Review of Financial Analysis, 59, 19-34. https://doi.org/10.1016/j.irfa.2018.06.001
57. Yumrukuz, Y., Türkoğlu, F. and Göçecek, E. (2025). The oversight on the relationship between monetary policy setting and exchange rate through yield curve modeling. Central Bank Review, 100198. https://doi.org/10.1016/j.cbrev.2025.100198