Study the effect of Islamic derivatives during financial crises of 2008 using Translog function, a case study of Iraq

Document Type : Research Paper

Authors

1 Department of Mathematics, Tikrit University, College of Education for Pure Science, Iraq.

2 Tikrit University, Iraq.

3 Ministry in Education, Salah Al-deen’s Eduction, Tikrit, Iraq.

Abstract

This research uses a statistical method to assess the efficiency and performance of Islamic and conventional banks.  The Iraqi banks have been chosen as a case study in the period from 2006 to 2011. The data collected from, banks' financial reports, IMF database, the cost function and Seemingly Unrelated Regression were used to analyse the Iraqi bank's elasticity of substitution between inputs. It has been shown that the conventional banks in Iraq have better substitution than Islamic banks.  In conclusion, the Islamic and conventional banks are exposed to a similar degree of risks, but different in nature; and the Islamic banks have less security than conventional banks to financial shocks. Since the Islamic banks cannot charge a fixed, predetermined return, and can't borrow from the financial market, so the Islamic banks could face more risk and volatile returns on their assets. The implication of that an excessive management modernization of Islamic banks is necessary to achieve a higher level of efficiency. This will give privilege for Islamic banks over the conventional bank. For conventional banks, they have to invent similar techniques to reduce cost and keep their position in the market.

Keywords

[1] T. Aldeehani, Efficiency and client satisfaction of Islamic and conventional banks: A bilateral effect, Busin. Econ.
Hor. 14(2) (2018) 282–299.
[2] A. Al-Farisi and R. Hendrawan, Effect of capital structure on banks performance: A profit efficiency approach
Islamic and conventional banks case in Indonesia, SSRN Electronic Journal, (2011).
[3] A. Battal, Measure and Analyse the Efficiency of the Performance of Private Banks in Iraq Using (DEA), Bagdad
University Press, 2012.
[4] E. Berndt and L. Christensen, The translog function and the substitution of equipment structure and labour in
US manufacturing 1968-1980, J. Econ. 1 (1982) 55–150.
[5] J. Bonin and P. Wachtel, Financial sector development in transition economies: lessons from the first decade, J.
Bank. Fin. 24 (2002) 1605-–1628.
[6] T. Coelli, D. Rao and G. Battese, An introduction to the efficiency and productivity analysis, J. Fin. Serv. Res.
36(2–3) (2005) 203-–226.
[7] L.R. Christensen, D.W. Jorgenson and L. J. Lau, Transcendental logarithmic production frontiers, Rev. Econ.
Stat. 55(1) (1973) 28–45.
[8] H. M. Hafez and M. Halim, The efficiency of Islamic banks versus conventional banks: an empirical study of an
emerging economy, Bank. Bank Syst. 14(2) (2019) 50–62.
[9] K. Hamid and M. Usman Khurram, Comparative analysis of technical efficiency for Islamic versus conventional
banks and its determinants in Pakistan, SSRN Electronic Journal, (2017).
[10] M. Imdadul Haque, M. Rumzi Tausif and A. Ali, Continued discussion on conventional versus Islamic banks:
combining financial ratios and efficiency, Bank. Bank Syst. 15(1) (2020) 132–142.
[11] J. Lee, Principle of microeconomics, Europ. J. Oper. Res. 2 (2012) 429–444.
[12] N. Martynova, Effect of Bank Capital Requirements on Economic Growth, Netherlands Central Bank, Research
Department, 2015.
[13] L. Mikulas, Mathematical Optimization and Economic Analysis, Springer, 2010.
[14] H. Miniaoui, H. Syani and A. Chaibi, The impact of financial crisis on Islamic and conventional indices of the
GCC countries, J. Appl. Bus. Res. 31(2) (2015) 357–370.
[15] S. Mohamad, T. Hassan and M. K. I. Bader, Efficiency of conventional versus Islamic Banks: international
evidence using the Stochastic Frontier Approach (SFA), J. Islamic Econ. Bank. Fin. 4(2) (2008) 107–130.[16] H. Mohamed Hafez, Examining the relationship between efficiency and capital adequacy ratio: Islamic versus
conventional banks: An empirical evidence on Egyptian banks, Account. Fin. Res. 7(2) (2018) 232.
[17] A. Ramly, Comparison of efficiency and modelling of Islamic banks and conventional banks in Indonesia, Global
Rev. Islamic Econ. Bus. 4(2) (2016) 102.
[18] J. Rowena and C. Andrew, Measuring Efficiency in Healthcare, Cambridge University Press, New York, 2006.
[19] A. Saka, Effects of Foreign Bank Entry on Technical Efficiency of a Bank Sector–The Case of Ghana, 2010.
[20] W. Shephard, Theory of Cost and Production Functions, Princeton University Press, 1970.
[21] SH. Shubham and A. J. Obaid, Mathematical modelling, analysis and design of fuzzy logic controller for the
control of ventilation systems using MATLAB fuzzy logic toolbox, J. Interdis. Math. 23(4) (2020) 843–849.
[22] S.A. Srairi, Cost and profit efficiency of conventional and Islamic banks in GCC countries, J. Product. Anal. 34
(2010) 45–62.
[23] Q. Xu, J. You and X. Li, Statistical inference on seemingly unrelated non-parametric regression models with
serially correlated errors, Stat. Neerland. 65(3) (2011) 297–318.
[24] R. Zeitun, K. Abdulqader and K. Alshare, On the relative efficiency of conventional and Islamic banks: a DEAwindow approach, Int. J. Fin. Serv. Manag. 6(3) (2013) 236.
Volume 12, Issue 2
November 2021
Pages 1673-1686
  • Receive Date: 06 February 2021
  • Revise Date: 17 March 2021
  • Accept Date: 20 April 2021