The relationship between derivative instruments and systematic risk: a study on banks trading on BIST
-
DOIhttp://dx.doi.org/10.21511/bbs.14(2).2019.13
-
Article InfoVolume 14 2019, Issue #2, pp. 152-163
- 1058 Views
-
218 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This study is aimed to analyze the relationship between the use of derivative financial instruments for speculative and hedging purposes and systematic risk. The effect of the use of derivatives by seven banks trading on Borsa Istanbul during the period of June 2007 – December 2017 on systematic risk was studied using panel cointegration, causality and regression analyses. Banking sector was examined within the scope of the study, since the level of use of derivatives is high in this sector. It was identified in the study that there is a long-run cointegration relationship between the use of derivatives and systematic risk. It was also identified that there is a significant and negative relationship between the use of derivatives for speculative purposes and systematic risk. Furthermore, it was determined that there is a one-way causality relationship from the use of derivatives for speculative purposes towards systematic risk. However, there was no relationship identified between the use of derivatives for hedging purposes and systematic risk. On the other hand, significant and negative relationship was identified between swap transactions that banks use for speculative purposes and systematic risk, while there was no significant relationship determined between forward and option contracts and systematic risk.
- Keywords
-
JEL Classification (Paper profile tab)C33, G10, G21, G32
-
References32
-
Tables11
-
Figures0
-
- Table 1. Variables used in the model
- Table 2. The results of multicollinearity analysis
- Table 3. The results of test examining multicollinearity among derivatives
- Table 4. Descriptive statistics
- Table 5. The results of cross-sectional dependence test on the basis of panel and variable
- Table 6. The results of the Pesaran and Yamagata (2008) homogeneity test
- Table 7. The results of PANIC and LLC panel unit root tests
- Table 8. The results of Kao and CUSUM cointegration tests
- Table 9. The results of the Panel DOLS test
- Table 10. The results of the Granger causality test based on panel VECM
- Table 11. The results of panel data analysis
-
- Alaghi, K. (2011). Financial leverage and systematic risk. African Journal of Business Management, 5(15), 6648-6650.
- Asteriou, D., & Hall, S. G. (2007). Applied econometrics: A modern approach using eviews and microfit. New York: Palgrave Macmillan.
- Bai, J., & Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72(4), 1127-1177.
- Baltagi, B. H. (2005). Econometric analysis of panel data (3rd ed.). West Sussex: Wiley.
- Baltagi, B. H., & Kao, C. (2000). Nonstationary panels, cointegration in panels: A survey (Working Paper No. 16). Center for Policy Research.
- Baltagi, B. H., & Li, Q. (1991). A joint test for serial correlation and random individual effects. Statistics and Probability Letters, 11, 277-280.
- Bartram, S. M., Brown, G. W., & Conrad, J. (2011). The effects of derivatives on firm risk and value. Journal of Financial and Quantitative Analysis, 46(4), 967-999.
- Bhargava, A., Franzini, L., & Narendranathan, W. (1982). Serial Correlation and the fixed effects model. The Review of Economic Studies, 49(4), 533-549.
- Born, B., & Breitung, J. (2016). Testing for serial correlation in fixed-effects panel data models. Econometric Reviews, 35(7), 1290-1316.
- Breusch, T., & Pagan, A. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. Review of Economic Studies, 47(1), 239-253.
- Coutinho, J. R. R., Sheng, H. H., & Lora, M. I. (2012). The use of FX derivatives and the cost of capital: Evidence of Brazilian companies. Emerging Markets Review, 13(4), 411-423.
- Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438.
- Hair, J., Erson, R. E., Tatham, R., & William, C. B. (1998). Multivariate Data Analysis. New Jersey: Prentice-Hall.
- Haynes, R., McPhail, L., & Zhu, H. (2019). When leverage ratio meets derivatives: Running out of options? (SSRN paper).
- Hon, T. Y. (2012). Managing financial risk by using derivatives: A study of Hong Kong listed companies. ELK Asia Pacific Journal of Finance and Risk Management, 4(1), 1-16.
- Honda, Y. (1985). Testing the error components model with non-normal disturbances. The Review of Economic Studies, 52(4), 681-690.
- Kao, C. (1999). Spurious regression and residual based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-44.
- Keffala, M. R., & Peretti, C. (2013). Effect of use derivative instruments on accounting risk: Evidence from banks in emerging and recently developed countries. Annals of Economics and Finance, 14(1), 149-178.
- Kornel, T. (2014). The effect of derivative financial instruments on bank risks, relevance and faithful representation: Evidence from banks in Hungary. Annals of Faculty of Economics, 1(1), 698-706.
- Levin, A., Lin, C., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
- Li, S., & Marinc, M. (2014). The use of financial derivatives and risks of U.S. bank holding companies. International Review of Financial Analysis, 35, 46-71.
- Lintner, J. (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics, 47(1), 13-37.
- Mossin, J. (1966). Equilibrium in a capital asset market. Econometrica, 34(4), 768-783.
- Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels (IZA Discussion Paper No. 1240).
- Pesaran, H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93.
- Selvi, Y., & Türel, A. (2010). Derivatives usage in risk management by Turkish non-financial firms and banks: A comparative study. Annales Universitatis Apulensis: Series Oeconomica, 12(2), 663-671.
- Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425-442.
- Şirvan, N., & Sezgin Alp, Ö. (2017). Türk bankacılık sektöründe Türev piyasa araçlarının riske etkileri. Ticari Bilimler Fakültesi Dergisi, 1, 130-157.
- Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. Boston: Allyn and Bacon.
- Vuillemey, G. (2019). Bank interest rate risk management. Management Sciences, 1-56.
- Westerlund, J. (2005). A panel CUSUM test of the null of cointegration. Oxford Bulletin of Economics and Statistics, 67(2), 305-339.
- Živanović, B., & Mina, K. (2017). The usage of financial derivatives in financial risk management by non-financial companies in Serbia. Industrija, 45(3), 65-82.