Vol. 8 No. 1 (2020): Business & Management Studies: An International Journal
Articles

EFFECTS OF RISK INDICATORS ON SYNDICATED LOANS: ANALYSIS ON THE BASIS OF ASYMMETRY AND FREQUENCY DIMENSION

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  • Melik KAMIŞLI
Melik KAMIŞLI
Asisst. Prof. Dr., Bilecik Şeyh Edebali University
DOI: https://doi.org/10.15295/bmij.v8i1.1364

Published 2020-03-25

Keywords

  • Syndicated Loans, Risk Indicators, Asymmetric Causality, Asymmetric Frequency Domain Causality
  • Sendikasyon Kredisi, Risk Göstergeleri, Asimetrik Nedensellik, Asimetrik Frekansta Nedensellik

How to Cite

KAMIŞLI, M. (2020). EFFECTS OF RISK INDICATORS ON SYNDICATED LOANS: ANALYSIS ON THE BASIS OF ASYMMETRY AND FREQUENCY DIMENSION. Business & Management Studies: An International Journal, 8(1), 181–195. https://doi.org/10.15295/bmij.v8i1.1364

Abstract

In the study, it is aimed to determine the relationships between the syndicated loans received by Turkish banking sector and global and local risk indicators on asymmetry and frequency dimension. In line with this purpose, the relationships between the total syndicated loans and global economic policy index, VIX index, Libor, Turkish 5-year CDS premium, Turkish geopolitical risk index and BIST banking sector index volatility are analyzed by traditional, asymmetric and frequency domain asymmetric causality tests. According to the test results there are causality relationships between syndicated loans and all of the selected risk indicators. Findings indicate that the determined relationships are at difference frequencies and dimensions.

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References

  1. Acharya, V. V., Eisert, T., Eufinger, C., & Hirsch, C. (2018). Real effects of the sovereign debt crisis in Europe: Evidence from syndicated loans. The Review of Financial Studies, 31(8), 2855-2896. https://doi.org/10.1093/rfs/hhy045
  2. Amiram, D., Beaver, W. H., Landsman, W. R., & Zhao, J. (2017). The effects of credit default swap trading on information asymmetry in syndicated loans. Journal of Financial Economics, 126(2), 364-382. https://doi.org/10.1016/j.jfineco.2016.10.001
  3. Breitung, J., & Candelon, B. (2006). Testing for short and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363-378. https://doi.org/10.1016/j.jeconom.2005.02.004
  4. Champagne, C., & Kryzanowski, L. (2007). Are current syndicated loan alliances related to past alliances?. Journal of Banking & Finance, 31(10), 3145-3161. https://doi.org/10.1016/j.jbankfin.2006.11.018
  5. Ciner, C. (2011). Information transmission across currency futures markets: Evidence from frequency domain tests. International Review of Financial Analysis, 20, 134-139. https://doi.org/10.1016/j.irfa.2011.02.010
  6. Doornik J. A., & Hansen, H. (2008). An Omnibus Test for Univariate and Multivariate Normality. Oxford Bulletin of Economics and Statistics, 70(1), 927-939 https://doi.org/10.1111/j.1468-0084.2008.00537.x
  7. Drago, D., & Gallo, R. (2017). The impact of sovereign rating changes on European syndicated loan spreads: The role of the rating-based regulation. Journal of International Money and Finance, 73, 213-231. https://doi.org/10.1016/j.jimonfin.2017.02.029
  8. Fang, X., Li, Y., Xin, B. & Zhang, W. (2016). Financial statement comparability and debt contracting: Evidence from the syndicated loan market. Accounting Horizons, 30(2), 277-303. https://doi.org/10.2308/acch-51437
  9. Gadanecz, B. (2004). The syndicated loan market: structure, development and implications. BIS Quarterly Review, December, 75-89. https://ssrn.com/abstract=1967463
  10. Geweke, J. (1982). Measurement of linear dependence and feedback between multiple time series. Journal of the American Statistical Association, 77, 304-324. https://doi.org/10.1080/01621459.1982.10477803
  11. Giannetti, M., & Laeven, L. (2012). The flight home effect: Evidence from the syndicated loan market during financial crises. Journal of Financial Economics, 104(1), 23-43. https://doi.org/10.1016/j.jfineco.2011.12.006
  12. Godlewski, C. J., & Weill, L. (2008). Syndicated loans in emerging markets. Emerging Markets Review, 9(3), 206-219. https://doi.org/10.1016/j.ememar.2008.04.001
  13. Gong, D., Jiang, T., & Wu, W. (2018). A foreign currency effect in the syndicated loan market of emerging economies. Journal of International Financial Markets, Institutions and Money, 52, 211-226. https://doi.org/10.1016/j.intfin.2017.09.022
  14. Granger, C. W. J., & Yoon, G. (2002). Hidden cointegration. University of California, Economics Working Paper No. 2002-02. http://dx.doi.org/10.2139/ssrn.313831
  15. Hacker, R. S., & Hatemi-J, A. (2005). A test for multivariate ARCH effects. Applied Economics Letters, 12(7), 411-417. https://doi.org/10.1080/13504850500092129
  16. Harm, C. (2001). European financial market integration: the case of private sector bonds and syndicate loans. Journal of International Financial Markets, Institutions and Money, 11(3-4), 245-263. https://doi.org/10.1016/S1042-4431(01)00039-7
  17. Hatemi-J, A. (2012). Asymmetric Causality Tests with an Application. Empirical Economics, 43(1), 447-456. https://doi.org/10.1007/s00181-011-0484-x
  18. Hosoya, Y. (1991). The decomposition and measurement of the interdependence between secondorder stationary processes. Probability Theory and Related Fields, 88(4), 429-444. https://doi.org/10.1007/BF01192551.
  19. Ng, S., & Perron, P. (2001). LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power. Econometrica, 69(6), 1519-1554. https://doi.org/10.1111/1468-0262.00256
  20. Pişkin, F. (2016). Türk Bankacılık Sektörü Tarafından Alınan Sendikasyon Kredilerinde Spreadi Belirleyen Faktörler. İstanbul Üniversitesi İktisat Fakültesi Mecmuası, 66(2), 113-158. https://dergipark.org.tr/tr/download/article-file/329997
  21. Ranjbar, O., Chang, T., Nel, E., & Gupta, R. (2017). Energy consumption and economic growth nexus in South Africa: Asymmetric frequency domain approach. Energy Sources, Part B: Economics, Planning, and Policy, 12(1), 24-31. https://doi.org/10.1080/15567249.2015.1020120
  22. Thomas, H., & Wang, Z. (2004). The integration of bank syndicated loan and junk bond markets. Journal of Banking & Finance, 28(2), 299-329. https://doi.org/10.1016/j.jbankfin.2003.01.001