Sezer Bozkuş KAHYAOĞLU
(İzmir Bakırçay Üniversitesi)
Yıl: 2019Cilt: 22Sayı: 41ISSN: 1301-5265 / 2651-4974Sayfa Aralığı: 219 - 236İngilizce

99 1
LONG TERM RELATIONSHIP BETWEEN CDS AND CURRENCY EXCHANGE RATES: THE TURKISH CASE1
The main objective of this study is to analyze the long-term relationship between exchange rate and credit default swaps (CDS) based on high frequency time series as representative of Turkey's risk premium. In general, the long-term relationship describes a long period of time in the literature. However, although the time periods used in the testing of financial and economic hypotheses have taken a long period of time, the use of new techniques is needed due to the high frequencies. In the analysis of long-term relationships with high-frequency time series, the transition and the continuity of the shocks should be considered together. Therefore, in this study, partial integration method considering these two features was used as an analysis tool. The most important feature of the analysis is that it gives information about the long term relationship based on these properties. This information is a random process based on the tendency to revert to the mean in the period covered and is the result of the applied test. Hence, the relationship between variables, namely exchange rates and Turkey's CDS, are analyzed by using non-linear causality tests. Thus, it is also analyzed whether the effects such as jump and break on these variables change over time. Policy recommendations are made for Turkey based on the empirical findings to contribute to the relevant literature.
Sosyal > İşletme Finans
Sosyal > İktisat
Sosyal > Coğrafya
Sosyal > Tarih
Sosyal > Uluslararası İlişkiler
Sosyal > Edebiyat
Sosyal > İşletme
Sosyal > Felsefe
Sosyal > Psikoloji
Sosyal > Kamu Yönetimi
Sosyal > Halkla İlişkiler
DergiAraştırma MakalesiErişime Açık
  • Aldasoro, I. and Torsten, E. (2018). The Credit Default Swap Market: What a Difference a Decade Makes, BIS Quarterly Review, June 2018.
  • Akkuş H.T., Şakir, S. Osman, T. (2018). Tahvil Faizleri ile CDS Primleri Arasındaki Oynaklık Yayılım Etkilerinin Belirlenmesi, Bankacılar Dergisi, Sayı 104, Mart 2018, 41-55.
  • Akdoğan, K. and Meltem, G. C. (2013). Nonlinearities in CDS-Bond Basis, Emerging Markets Finance and Trade, 49(3), pp. 6-19.
  • Alexander, C. (2011). Practical Financial Econometrics, Reprinted with Corr. Edition, Vol. / Carol Alexander; Vol 2 of Market Risk Analysis, Wiley, Chichester.
  • Altman, E.I. and Herbert, R. (2011). Transparent and Unique Sovereign Default Risk Assessment, Journal of Applied Corporate Finance, vol.23, No. 3, Winter, http://people.stern.nyu.edu/ealtman/Sovereign%20Default%20 Risk%20Assessment.pdf
  • Apergis, N. (2018). Testing for Causality: A Survey of the Current Literature, The Economics and Econometrics of the Energy-Growth Nexus, Chapter 9, Elsevier, https://www.researchgate. net/profile/Md_Washim_Akram/post/How_to_test_reverse_ c a u s a l i t y 2 / a t t a c h m e n t / 5 b 7 8 5 6 6 e c f e 4 a 7 f 7 c a 5 b 3 3 3 c / A S % 3A661029415571456%401534613102347/download/apergis2018.pdf
  • Arltová, M. and Darina, F. (2016). Selection of Unit Root Test on the Basis of Length of the Time Series and Value of AR(1) Parameter, Statistika, 96 (3), 47-64.
  • Augustin, P., Mikhail, C. and Dongho, S. (2018). Sovereign Credit Risk And Exchange Rates: Evidence From CDS Quanto Spreads. NBER Working Paper Series, WP No. 24506, https://www.nber.org/papers/w24506.pdf
  • BIS (2009). Central counterparties for over-the-counter derivatives, BIS Quarterly Review, September 2009, https://www.bis.org/publ/qtrpdf/r_ qt0909f.pdf
  • BIS (2018). The credit default swap market: what a difference a decade makes, https://www.bis.org/publ/qtrpdf/r_qt1806b.pdf
  • Baba, N., and Inada, M. (2009). Price Discovery of Subordinated Credit Spreads for Japanese Mega-banks: Evidence from Bond and Credit Default Swap Markets, Journal of International Financial Markets, Institutions & Money, 19 (4), 616-632.
  • Belke, A. H. and Christian, G. (2014). Volatility Patterns of CDS, Bond and Stock Markets Before and During the Financial Crisis: Evidence From Major Financial Institutions, International Journal of Economics and Finance, 6(7), pp. 53-70.
  • Bouri, E., Maria, E., De, B. and Ivelina, P. (2016). Volatility Transmission from Commodity Markets to Sovereign CDS Spreads in Emerging and Frontier Countries, International Review of Financial Analysis, http:// dx.doi. org/10.1016/j.irfa.2016.11.001, 02.01.2017.
  • Calani, M. (2013). Spillovers of the Credit Default Swap Market, Banco Central de Chile, Working Paper.
  • Clegg, M., Krauss, C., Rende, J. (2017). partialICI: An R Package for the Analysis of Partially Co-integrated Time Series, FAU Discussion Papers in Economics, No. 05/201, https://www.econstor.eu/bitstream/ 10419/150014/1/880195347.pdf
  • Corte,P.D., Lucio,S., Maik, S. and Christian, W. (2015). Exchange Rates and Sovereign Risk, https://www.aeaweb.org/conference/2016/retrieve. php?pdfid=512.
  • Corsetti, G., Keith, K., Andre, M. and Gernot, M. (2013). Sovereign Risk, Fiscal Policy, and Macroeconomic Stability, The Economic Journal, 123(566), pp. 99-132.
  • Dickey, D. A., and Fuller, W. A. (1979), Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Stat. Association, 74, pp. 427–431.
  • Dickey, D. A., and Fuller, W. A. (1981), Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49, pp. 1057– 72.
  • Dutra, T. M. (2015). Credit Default Swap (CDS) Prediction Model & Trading Strategy, Finance Project in the NOVA – School of Business and Economics https://run.unl.pt/bitstream/10362/15345/1/Dutra_2015.pdf
  • Engle, R.F., Granger, C.W.J., (1987). Co-Integration and Error Correction: Representation, estimation, and testing, Econometrica, 55 (2), 251.
  • Granger, C.W.J., (1981). Some properties of time-series data and their use in econometric model specification, Journal of Econometrics. 16, 121-130.
  • Granger, C.W.J., (1983). Cointegrated variables and error-correcting models. Discussion Paper. 83-13, Department of Economics, University of California, San Diego.
  • Günay, S. and Yanlin, S. (2016). Long-Memory in Volatilities of CDS Spreads: Evidences from the Emerging Markets, Journal for Economic Forecasting, 1, pp. 122-137.
  • Gündüz, Y. and Orcun, K. (2014). Impacts of the Financial Crisis on Eurozone Sovereign CDS Spreads, Journal of International Money and Finance, 49, pp. 425-442.
  • Fender, I., Bernd, H. and Matthias, N. (2012). Daily Pricing of Emerging Market Sovereign CDS Before and During the Global Financial Crisis, Journal of Banking and Finance, 36(10), pp. 2786-2794.
  • Fontana, A. and Martin, S. (2016). An Analysis of Euro Area Sovereign CDS and Their Relation with Government Bonds, Journal of Banking & Finance, 62, pp. 126-140.
  • Hull, J. and Alan, W. (2001). Valuing Credit Default Swaps II: Modeling Default Correlations, Journal of Derivatives 8, 3 (Spring), 12-22.
  • Intercontinental Exchange ICE. (2010). Global Credit Derivatives Markets Overview: Evolution, Standardization and Clearing, https://www. theice.com/publicdocs/ice_trust/ICE_CDS_White_Paper.pdf
  • Kalbaska, A., and Gatkowski, M. (2012). Eurozone Sovereign Contagion: Evidence from the CDS Market (2005-2010), Journal Behavior and Organization 83, 657-673. https://pdfs.semanticscholar. org/59d7/580428bb55f7eba2bc0fb702f887b29001e7 . pdf ? _ ga=2.265510607.1391812800.1550931652-219855978.1550931652.
  • Kechagioglou, I. (2010). Stochastic models of default intensity for derivatives and counterparty risk valuation, PhD Thesis, University of London, Imperial College of Science, Technology and Medicine, https://spiral.imperial. ac.uk/bitstream/10044/1/11790/2/Kechagioglou-I-PhD-Thesis.pdf
  • Kim, S. J., Leith, S. and Eliza Wu. (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, pp. 208-224.
  • Kunt, A. S. and Oktay, T. (2009). Kredi Temerrüt Swapları ve Türkiye’nin CDS Priminin Tahmin Edilmesine Yönelik Bir Uygulama, İTÜ Dergisi, 5(1), ss. 78-89.
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., and Shin, Y. (1992). Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root. Journal of Econometrics, 54, pp. 159–178. DOI: 10.1016/0304-4076(92)90104-Y.
  • Longstaff, F. A., Pan, J., Pedersen, L. H., and Singleton, K. J. (2011). How Sovereign is Sovereign Credit Risk?, American Economic Journal: Macroeconomics, 3, 75–103. http://www.mit.edu/~junpan/AEJFINAL.pdf
  • Mano, R. (2013). Exchange Rates upon Default, Working Paper, IMF.
  • Meng, L., Gwilym, O and Varas, J. (2009). Volatility Transmission Among the CDS, Equity, and Bond Markets, The Journal of Fixed Income, 18 (3), 33-46.
  • Merton, R.C. (1974). On the Pricing of Corporate Debt: The Risk structure of Interest Rates. Journal of Finance, Vol. 29, No. 2
  • Neziri, H. (2009). Can Credit Default Swaps predict Financial Crises?, Journal of Applied Economic Sciences, Spring, Volume IV/Issue 1(7).
  • Norden, L. and Weber, M. (2004). The Co-movement of Credit Default Swap, Bond and Stock Markets: An Empirical Analysis, CFS Working Paper, No. 2004/20.
  • Pan, J. and Singleton, K. J., (2008). Default and Recovery Implicit in the Term Structure of
  • Sovereign CDS Spreads, Journal of Finance, 63, 2345–2384. http://citeseerx.ist. psu.edu/viewdoc/download?doi=10.1.1.497.1676&rep=rep1&type=pdf
  • Pesaran, M. H. (2015). Time Series and Panel Data Econometrics. Oxford University Press.
  • Palladini, G., Portes, R., (2011). Sovereign CDS and Bond Pricing Dynamics in the Euroarea, NBER Working Paper 17586.
  • Phillips, P. C. B. and Perron, P. (1988). Testing for a unit root in a time series regression. Biometrika, 1988, Vol. 75, No. 2, pp. 335–346.
  • Reinhart, C. M. (2002). Default, currency crises, and sovereign credit ratings, World Bank Economic Review 16, 151–170.
  • Sabkha, S., Peretti, C. and Hmaied, D. (2017). International Risk Spillover in Sovereign Credit Markets: Empirical Analysis, https://scholar.google.com/scholar?safe=active&um=1&ie=UTF-8&lr&cites=5481899914975431495
  • Stulz M. R. (2009). Credit Default Swaps and the Credit Crisis, NBER Working Paper No. 15384.
  • Tamakoshi, G. and Hamori, S. (2016). Time-varying Co-movements and Volatility Spillovers among Financial Sector CDS Indexes in the UK., Research in International Business and Finance, 36, 288-296.
  • Ural, M. and Erhan, D. (2015). APGARCH Modeling of CDS Returns, International Journal of Economic & Social Research, 11(2), pp. 171-182.
  • Varlık S. and Varlık, N. (2017). The Volatility of Turkey’s CDS Spreads, Finans Politik & Ekonomik Yorumlar, 2017 Cilt: 54 Sayı: 632, 9-17. http://www. ekonomikyorumlar.com.tr/files/articles/152820006580_1.pdf
  • Zhang, B. Y., Hao, Z. and Haibin, Z. (2009). Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms, Review of Financial Studies, 22(12), pp. 5099-5131.
  • Zoli, E. (2005). How Does Fiscal Policy Affect Monetary Policy in Emerging Market Countries?, Bank for International Settlements Working Paper, 174, pp. 1-45.
  • Wilks, S. S. (1932). Certain generalizations in the analysis of variance, Biometrika 24, 471-94.

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