Efficiency and productivity analysis for intermediary institutions: Turkish capital markets case

Guler Aras, Yasemin Karaman and Evrim Hacioglu Kazak

Journal of Capital Markets Studies, 2020, vol. 4, issue 2, 193-208

Abstract: Purpose - The purpose of this study is to investigate efficiency and productivity of Turkey’s both brokerage sector and intermediary institutions (IIs) that have been active in Turkish capital markets. Design/methodology/approach - Data envelopment analysis (DEA) and Malmquist total factor productivity index (MPI) are used to analyze efficiency and productivity of Turkey’s both brokerage sector and 51 Turkish IIs constantly operated between the years 2008 and 2018. Paid-in capital, administrative expenses and trading volumes are used as input, while net trading commissions and net profit/loss are used as output in analysis. The calculations of this analysis are made with DEAP 2.2 program and Python. Findings - The results reveal that during the analysis period, percentage of efficient institutions among 51 IIs was between 18% and 39% while the sector’s mean efficiency score ranged between 52% and 65%. While 2009 is the year with the highest number of efficient institutions, 2013 is observed to be the least. Finally, the results of productivity analysis indicate that all types of IIs are not fully productive during the related period. The striking finding obtained is that though there is a decrease in total productivity change, the technological change has a positive effect on their productivity change. Originality/value - This study is a double-layered research paper that includes efficiency analysis by DEA in the first step and productivity analysis by using MPI in the second step.

Keywords: Efficiency; Capital markets; Productivity; Data envelopment analysis; Intermediary institutions; Malmquist total factor productivity index (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jcmspp:jcms-08-2020-0032

DOI: 10.1108/JCMS-08-2020-0032

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