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KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR

Yıl 2020, Cilt: 10 Sayı: 2, 19 - 41, 30.12.2020
https://doi.org/10.47147/ksuiibf.778698

Öz

Bu çalışmanın amacı, Türkiye’nin 05.01.2010-31.12.2019 dönemi için CDS primleri ile hisse senedi piyasaları arasındaki oynaklık yayılım etkisini ve yayılımın yönünü çok değişkenli GARCH modelleri ve varyansta nedensellik testiyle ortaya koymaktır. Bu doğrultuda çalışmada ilk olarak, seriler için en uygun oynaklık modeli araştırılmış, ARMA (0,1)-FIAPARCH (1,1) modelinin olduğu belirlenmiştir. Daha sonra, seriler arasındaki oynaklık yayılım etkisi DCC-FIAPARCH (1,1) modeli ile araştırılmış, seriler arasında istatistiksel açıdan anlamlı ve negatif bir oynaklık yayılım etkisinin olduğu bulguları elde edilmiştir. Çalışmada son olarak, seriler arasındaki yayılımının yönü Hafner ve Herwartz (2006) varyansta nedensellik testi ile araştırılmış, oynaklık yayılımının karşılıklı olduğu tespit edilmiştir.

Kaynakça

  • Akkuş, Hilmi Tunahan, Sakarya, Şakir ve Tüzün, Osman (2018), “Tahvil Faizleri İle CDS Primleri Arasındaki Oynaklık Yayılım Etkilerinin Belirlenmesi”, Bankacılar Dergisi, Mart 2018, Sayı: 104, ss. 41-54.
  • Alkan, Buket and Çiçek, Serkan (2020), “Spillover effect in financial markets in Turkey”, Central Bank Review, Volume: 20, Issue:2, pp.53-64.
  • Apergis, Nicholas and Lake, Andreas (2010), “Credit Default Swaps and Stock Prices: Further Evidence of Mean and Volatility Transmission using a MVGARCH-M Model”, China-USA Business Review, Volume: 9, Issue: 11, pp.1-22.
  • Badaoui, Saad, Cathcart, Lara and El-Jahel, Lina (2013), “Do sovereign credit default swaps represent a clean measure of sovereign default risk? A factor model approach”, Journal of Banking & Finance, Volume:37, Issue: 7, pp.2392–2407.
  • Bjerkseth, Øyvind Sten (2006), “Volatility on Oslo Stock Exchange Structural Breakpoints in Volatility Using the ICSS Algorithm”. Master Thesis Financial Economics, Norges Handel Shoyskole, Bergen.
  • Bouri, Elie, Boyrie, Maria E. De, & Pavlova, Ivelina (2017), “Volatility transmission from commodities markets to sovereign CDS spreads in emerging and frontier countries”, International Review of Financial Analysis, Volume: 49, pp.155–165.
  • Derindere Köseoğlu, Sinem (2013), “The Transmission of Volatility between the CDS Spreads and Equity Returns Before, During and After the Global Financial Crisis: Evidence from Turkey”, Proceedings of 8th Asian Business Research Conference, 1 - 2 April 2013, Bangkok, Thailand, ISBN: 978-1-922069-20-7. pp.1-14.
  • Ding, Zhuanxin, Granger, Clive W. J., Engle, Robert F. (1993), “A Long Memory Property of Stock Market Returns and a New Model”, Journal of Empirical Finance, Volume:1, pp.83-106.
  • El Abed, Riadh, Boukadida, Sahar and Jaidane, Warda (2019), “Financial Stress Transmission from Sovereign Credit Market to Financial Market: A Multivariate FIGARCH-DCC Approach”, Global Business Review, Volume: 20, Issue: 5, pp. 1122–1140.
  • Hafner, Christian M., and Herwartz, Helmut (2006), “A Lagrange Multiplier Test for Causality in Variance”, Economics Letters, Volume: 93, Issue: 1, pp. 137-141.
  • Hilscher, Jens and Nosbusch, Yves (2010), “Determinants of sovereign risk: Macroeconomic Fundamentals and the pricing of sovereign debt”, Review of Finance, Volume:14, Issue: 2, pp.235–262.
  • Hosking, Jonathan R. M. (1980), “The Multivariate Portmanteau Statistic”. Journal of American Statistical Association. Volume: 75, No: 371, pp.602-608.
  • Inclan, Carla and Tiao, George C. (1994). “Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance”, Journal of the American Statistical Association, Volume: 89, No: 427, pp. 913-923.
  • Kurt Cihangir, Çiğdem (2020), “Volatility Spillover Effects From Global And National Variables to Sovereign CDS Spreads: Evidence From Turkey”, Vizyoner Dergisi, Cilt:11, Sayı:26, ss. 45-61.
  • Lee, Junsoo and Strazicich, Mark C. (2003), “Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks”, The Review of Economics and Statistics, Volume: 85, Issue: 4, pp.1082-1089.
  • Lee, Janghee (2017), “An Empirical Study on Spillover Effects between CDS and FX at Korean Market”, World Journal of Research and Review (WJRR), Volume: 4, Issue: 5, pp: 15-20.
  • Li, Jing and Lee, Junsoo (2015), “Improved Autoregressive Forecast in the Presence of Non-Normal Errors Journal of Statistical Computation and Simulation”, Journal of Statistical Computation and Simulation, Volume: 85, Issue: 14, pp. 2936-2952.
  • McLeod, A. Lan. and Wai Keung Li (1983), “Diagnostic Checking ARMA Time Series Models Using Squared-residuals Autocorrelations”, Journal of Time Series Analysis, Volume: 4, No: 4, pp.269-273.
  • Mateev, Miroslav (2019), “Volatility Relation Between Credit Default Swap and Stock Market: New Empirical Tests”, Journal of Economics and Finance, Volume: 43, pp.681–712.
  • Meng, Ming, Im, Kyung So, Lee, Junsoo and Tieslau, A. Margie (2014), “More Powerful LM Unit Root Tests with Non-Normal Errors”, (pp. 343-357). Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications. R.C Sickles & W.C. Horrace (Ed.). Springer New York, Heidelberg Dordrecht London, DOI 10.1007/978-1-4899-8008-3.
  • Park, Jinwoo, Shiroshita, Kengo and Sun, Naili (2019), “Lead Lag Relationship between the CDS and Stock Market and Informed Trading: Evidence from the Japanese CDS Market”, Journal of East Asian Studies, Volume: 17, Issue: 3, pp. 41-59.
  • Sanso, Andreu, Arragó, Vicent and Carrion-Silvestre, Josep Lluis (2004), “Testing for Change in the Unconditional Variance of Financial Time Series”, Revista de Economiá Financiera, Volume: 4, pp.32-53.
  • Schmidt and Phillips (1992), “LM Test for a Unit Root in the Presence of Deterministic Trends”, Oxford Bulletin of Economics and Statistics, Volume: 54, Issue: 3, pp. 257-287.
  • Sun, Xiaolei, Wang, Jun, Yao, Yanzhen, Li, Jingyu and Li, Jiangping (2020), “Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective”, International Review of Financial Analysis, Volume: 68, pp.1-17.
  • Tse, Yiu Kuen (1998), “The Conditional Heteroscedasticity of the Yen-Dollar Exchange Rate”, Journal of Applied Econometrics, Volume: 13, pp.49-55.
  • Tse, Yiu Kuen and Tsui, Albert K. C. (2002). “A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations”, Journal of Business Economics Statistic, Volume: 20, pp.351-362.

VOLATILITY SPILLOVER EFFECT AMONG CREDIT DEFAULT SWAP PREMIUM AND STOCK MARKETS: EVIDENCES FROM TURKEY

Yıl 2020, Cilt: 10 Sayı: 2, 19 - 41, 30.12.2020
https://doi.org/10.47147/ksuiibf.778698

Öz

The purpose of this study is to put forward volatility spillover effect and direction of spillover between CDS premiums and stock markets by the period 01.05.2010-12.31.2019 for Turkey with multivariate GARCH models and causality in variance test. In this direction, firstly in the study, the most suitable volatility model for both series has been investigated, it has been determined that there is an ARMA (0,1)-FIAPARCH (1,1) model. Then, the volatility spillover effect between series has been investigated by DCC-FIAPARCH model, it has been concluded that there is a statistically significant and negative volatility spillover effect between series. Finally in the study, the direction of the spillover between series, has been investigated by Hafner and Herwartz (2006) causality in variance test, it has been determined that the volatility spillover between series is bidirectional.

Kaynakça

  • Akkuş, Hilmi Tunahan, Sakarya, Şakir ve Tüzün, Osman (2018), “Tahvil Faizleri İle CDS Primleri Arasındaki Oynaklık Yayılım Etkilerinin Belirlenmesi”, Bankacılar Dergisi, Mart 2018, Sayı: 104, ss. 41-54.
  • Alkan, Buket and Çiçek, Serkan (2020), “Spillover effect in financial markets in Turkey”, Central Bank Review, Volume: 20, Issue:2, pp.53-64.
  • Apergis, Nicholas and Lake, Andreas (2010), “Credit Default Swaps and Stock Prices: Further Evidence of Mean and Volatility Transmission using a MVGARCH-M Model”, China-USA Business Review, Volume: 9, Issue: 11, pp.1-22.
  • Badaoui, Saad, Cathcart, Lara and El-Jahel, Lina (2013), “Do sovereign credit default swaps represent a clean measure of sovereign default risk? A factor model approach”, Journal of Banking & Finance, Volume:37, Issue: 7, pp.2392–2407.
  • Bjerkseth, Øyvind Sten (2006), “Volatility on Oslo Stock Exchange Structural Breakpoints in Volatility Using the ICSS Algorithm”. Master Thesis Financial Economics, Norges Handel Shoyskole, Bergen.
  • Bouri, Elie, Boyrie, Maria E. De, & Pavlova, Ivelina (2017), “Volatility transmission from commodities markets to sovereign CDS spreads in emerging and frontier countries”, International Review of Financial Analysis, Volume: 49, pp.155–165.
  • Derindere Köseoğlu, Sinem (2013), “The Transmission of Volatility between the CDS Spreads and Equity Returns Before, During and After the Global Financial Crisis: Evidence from Turkey”, Proceedings of 8th Asian Business Research Conference, 1 - 2 April 2013, Bangkok, Thailand, ISBN: 978-1-922069-20-7. pp.1-14.
  • Ding, Zhuanxin, Granger, Clive W. J., Engle, Robert F. (1993), “A Long Memory Property of Stock Market Returns and a New Model”, Journal of Empirical Finance, Volume:1, pp.83-106.
  • El Abed, Riadh, Boukadida, Sahar and Jaidane, Warda (2019), “Financial Stress Transmission from Sovereign Credit Market to Financial Market: A Multivariate FIGARCH-DCC Approach”, Global Business Review, Volume: 20, Issue: 5, pp. 1122–1140.
  • Hafner, Christian M., and Herwartz, Helmut (2006), “A Lagrange Multiplier Test for Causality in Variance”, Economics Letters, Volume: 93, Issue: 1, pp. 137-141.
  • Hilscher, Jens and Nosbusch, Yves (2010), “Determinants of sovereign risk: Macroeconomic Fundamentals and the pricing of sovereign debt”, Review of Finance, Volume:14, Issue: 2, pp.235–262.
  • Hosking, Jonathan R. M. (1980), “The Multivariate Portmanteau Statistic”. Journal of American Statistical Association. Volume: 75, No: 371, pp.602-608.
  • Inclan, Carla and Tiao, George C. (1994). “Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance”, Journal of the American Statistical Association, Volume: 89, No: 427, pp. 913-923.
  • Kurt Cihangir, Çiğdem (2020), “Volatility Spillover Effects From Global And National Variables to Sovereign CDS Spreads: Evidence From Turkey”, Vizyoner Dergisi, Cilt:11, Sayı:26, ss. 45-61.
  • Lee, Junsoo and Strazicich, Mark C. (2003), “Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks”, The Review of Economics and Statistics, Volume: 85, Issue: 4, pp.1082-1089.
  • Lee, Janghee (2017), “An Empirical Study on Spillover Effects between CDS and FX at Korean Market”, World Journal of Research and Review (WJRR), Volume: 4, Issue: 5, pp: 15-20.
  • Li, Jing and Lee, Junsoo (2015), “Improved Autoregressive Forecast in the Presence of Non-Normal Errors Journal of Statistical Computation and Simulation”, Journal of Statistical Computation and Simulation, Volume: 85, Issue: 14, pp. 2936-2952.
  • McLeod, A. Lan. and Wai Keung Li (1983), “Diagnostic Checking ARMA Time Series Models Using Squared-residuals Autocorrelations”, Journal of Time Series Analysis, Volume: 4, No: 4, pp.269-273.
  • Mateev, Miroslav (2019), “Volatility Relation Between Credit Default Swap and Stock Market: New Empirical Tests”, Journal of Economics and Finance, Volume: 43, pp.681–712.
  • Meng, Ming, Im, Kyung So, Lee, Junsoo and Tieslau, A. Margie (2014), “More Powerful LM Unit Root Tests with Non-Normal Errors”, (pp. 343-357). Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications. R.C Sickles & W.C. Horrace (Ed.). Springer New York, Heidelberg Dordrecht London, DOI 10.1007/978-1-4899-8008-3.
  • Park, Jinwoo, Shiroshita, Kengo and Sun, Naili (2019), “Lead Lag Relationship between the CDS and Stock Market and Informed Trading: Evidence from the Japanese CDS Market”, Journal of East Asian Studies, Volume: 17, Issue: 3, pp. 41-59.
  • Sanso, Andreu, Arragó, Vicent and Carrion-Silvestre, Josep Lluis (2004), “Testing for Change in the Unconditional Variance of Financial Time Series”, Revista de Economiá Financiera, Volume: 4, pp.32-53.
  • Schmidt and Phillips (1992), “LM Test for a Unit Root in the Presence of Deterministic Trends”, Oxford Bulletin of Economics and Statistics, Volume: 54, Issue: 3, pp. 257-287.
  • Sun, Xiaolei, Wang, Jun, Yao, Yanzhen, Li, Jingyu and Li, Jiangping (2020), “Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective”, International Review of Financial Analysis, Volume: 68, pp.1-17.
  • Tse, Yiu Kuen (1998), “The Conditional Heteroscedasticity of the Yen-Dollar Exchange Rate”, Journal of Applied Econometrics, Volume: 13, pp.49-55.
  • Tse, Yiu Kuen and Tsui, Albert K. C. (2002). “A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations”, Journal of Business Economics Statistic, Volume: 20, pp.351-362.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Selim Güngör 0000-0002-2997-1113

Elif Erer 0000-0002-2238-4602

Yayımlanma Tarihi 30 Aralık 2020
Yayımlandığı Sayı Yıl 2020Cilt: 10 Sayı: 2

Kaynak Göster

APA Güngör, S., & Erer, E. (2020). KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 10(2), 19-41. https://doi.org/10.47147/ksuiibf.778698
AMA Güngör S, Erer E. KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. Aralık 2020;10(2):19-41. doi:10.47147/ksuiibf.778698
Chicago Güngör, Selim, ve Elif Erer. “KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR”. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 10, sy. 2 (Aralık 2020): 19-41. https://doi.org/10.47147/ksuiibf.778698.
EndNote Güngör S, Erer E (01 Aralık 2020) KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 10 2 19–41.
IEEE S. Güngör ve E. Erer, “KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR”, Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, c. 10, sy. 2, ss. 19–41, 2020, doi: 10.47147/ksuiibf.778698.
ISNAD Güngör, Selim - Erer, Elif. “KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR”. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 10/2 (Aralık 2020), 19-41. https://doi.org/10.47147/ksuiibf.778698.
JAMA Güngör S, Erer E. KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2020;10:19–41.
MLA Güngör, Selim ve Elif Erer. “KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR”. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, c. 10, sy. 2, 2020, ss. 19-41, doi:10.47147/ksuiibf.778698.
Vancouver Güngör S, Erer E. KREDİ TEMERRÜT SWAP PRİMLERİ İLE HİSSE SENEDİ PİYASALARI ARASINDAKİ OYNAKLIK YAYILIM ETKİSİ: TÜRKİYE’DEN KANITLAR. Kahramanmaraş Sütçü İmam Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2020;10(2):19-41.