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Journals / İstanbul İktisat Dergisi / 2023 / Cilt: 73 Sayı: 1

How Vulnerable is the Turkish Stock Market to the Credit Default Swap? Evidence from the Markov Switching GARCH Model

Veysel KARAGÖL
Pages
513–531
Publication Date
2023-06-26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Policymakers should follow risk-oriented policies instead of policies against the wind against the risk of a possible boom in financial markets.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to investigate the effect of the credit default swap (CDS) on the Turkish stock market.
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Key Findings & Data:More specifically, it analyses whether the relationship between CDS and the Turkish stock market has changed during the period of unprecedented stock returns in 2022.
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Conclusion & Impact:Policymakers should follow risk-oriented policies instead of policies against the wind against the risk of a possible boom in financial markets.
🔬Design:Modeling & Simulation
📍Scope:2022 Verileri
⚙️Variables:Credit default swap · Turkish stock market · Markov Switching GARCH

Abstract

This study aims to investigate the effect of the credit default swap (CDS) on the Turkish stock market. More specifically, it analyses whether the relationship between CDS and the Turkish stock market has changed during the period of unprecedented stock returns in 2022. The Markov Switching GARCH method is preferred because of its many advantages in the analysis of the return series of the variables. Two different models are estimated for the full sample weekly period of 2010:01-10/2022:12-11 and the subsample weekly period of 2010:01-10/2021:12-05. The subsample period is more optimal than the full sample period. Nevertheless, the findings of both sample periods are included to make a comparison. The effect of CDS on the Turkish stock market is greater in the high-volatility regime than in the lowvolatility regime. CDS has a negative impact on the Turkish stock market in both low and high volatility periods. The most striking finding is that CDS affects the Turkish stock market approximately twice as much in the subsample period as in the full sample period in both regimes. Policymakers should follow risk-oriented policies instead of policies against the wind against the risk of a possible boom in financial markets.

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Cite This Article

KARAGÖL, V. (2023). How Vulnerable is the Turkish Stock Market to the Credit Default Swap? Evidence from the Markov Switching GARCH Model. İstanbul İktisat Dergisi, Cilt: 73 Sayı: 1, 513–531. https://ajindex.com/articles/955486

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References (1)

  1. Altınok, H., & Akça, A. (2021). BRICS+ T ülkelerinde sanayi üretim endeksi ve kredi temerrüt takası arasındaki ilişki: Konya bootstrap nedensellik yaklaşımı. Maliye Dergisi, (180), 252-269. google scholar Ang, A., & Timmermann, A. (2011). Regime changes and financial markets. Netspar Discussion Paper. DP 06/2011-068, 1-32. google scholar Anton, S. G., & Afloarei Nucu, A. E. (2020). Sovereign credit default swap and stock markets in Central and Eastern European countries: Are feedback effects at work?. Entropy, 22(3), 338. Doi: https://doi.org/10.3390/e22030338 google scholar Asandului, M., Lupu, D., Mursa, G., & Musetescu, R. (2015). Dynamic relations between CDS and stock markets in Eastern European countries. Economic Computation and Economic Cybernetics Studies and Research, Issue 4/2015. google scholar Augustin, P., Subrahmanyam, M. G., Tang, D. Y., & Wang, S. Q. (2016). Credit default swaps. Annual Review of Financial Economics, 8, 175-196. google scholar Ballester, L., Escriva, A. M., & Gonzalez-Urteaga, A. (2021). The Nexus between sovereign CDS and stock market volatility: new evidence. Mathematics, 9(11), 1201. Doi: https://doi.org/10.3390/math9111201 google scholar Bauwens, L., Preminger, A., & Rombouts, J. V. (2010). Theory and inference for a Markov switching GARCH model. The Econometrics Journal, 13(2), 218-244. Doi: https://doi. org/10.1111/j.1368-423X.2009.00307.x google scholar Bildirici, M., & Ersin, Ö. (2014). Modeling Markov switching ARMA-GARCH neural networks models and an application to forecasting stock returns. The Scientific World Journal, 2014. Doi: https:// doi.org/10.1155/2014/497941 google scholar Bildirici, M., Sonüstün, B., & Gökmenoğlu, S. M. (2019, November). CDS-Stock market chaotic relationship-Turkish stock market case. In AIP Conference Proceedings (Vol. 2178, No. 1, p. 030068). Doi: https://doi.org/10.1063/1.5135466 google scholar Bolaman Avcı, Ö. (2020). Interaction between CDS premiums and stock markets: Case of Turkey. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(1), 1-8. Doi: https://doi. org/10.25287/ohuiibf.526638 google scholar Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327. Doi: https://doi.org/10.1016/0304-4076(86)90063-1 google scholar Celik, S., & Koc, Y. D. (2016). Relationship between sovereign credit default swap and stock markets: the case of Turkey. The Macrotheme Review, 5(4), 36-40. google schol