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     Research Journal of Applied Sciences, Engineering and Technology


Stochastic Frontier Model for Measuring Investment Efficiency of Banks

1Md. Azizul Baten and 2Md. Abdul Khaleque
1Department of Decision Science, School of Quantitative Sciences, Universiti Utara Malaysia, 06010 UUM Sintok, Darul Aman, Malaysia
2Department of Statistics, Computer and Mathematics, Dhaka Commerce College, Dhaka, Bangladesh
Research Journal of Applied Sciences, Engineering and Technology   2015  8:865-872
http://dx.doi.org/10.19026/rjaset.11.2097  |  © The Author(s) 2015
Received: May ‎25, ‎2015  |  Accepted: June ‎22, ‎2015  |  Published: November 15, 2015

Abstract

The study attempts to evaluate the investment efficiency level of online banks and to make a comparison of the investment efficiency scores of banks according to group-wise, year-wise and individually. We used a panel of 20 banks dividing them into four groups namely NBs (National Banks), ISBs (Islamic Banks), FBs (Foreign Banks) and PBs (Private Banks) in Bangladesh. Using Translog stochastic frontier technique we estimated investment efficiencies of those four groups of banks. We observed that there are significant variations of efficiencies across different banks in different time periods. ISBs, FBs and PBs are found inefficient in producing investments. The estimated year wise average efficiency of the sample banks is recorded 0.431 while group wise average efficiency is 0.517. Islamic Banks are observed best performing banks in investment sector. The most investment efficient bank is Islami Bank and the least investment efficient bank is City Bank with efficiency score 0.97 and 0.11, respectively.

Keywords:

Efficiency , investment, online banks , performance, stochastic frontier analysis,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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