mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

Estimating stock market technical efficiency for truncated normal distribution: Evidence from Dhaka stock exchange

Hassan, Md Zobaer and Kamil, Anton Abdulbasah and Mustafa, Adli and Baten, Md Azizul (2012) Estimating stock market technical efficiency for truncated normal distribution: Evidence from Dhaka stock exchange. Trends in Applied Sciences Research, 7 (7). pp. 532-540. ISSN 1819-3579

[thumbnail of 41225-41225.pdf] PDF
Restricted to Registered users only

Download (476kB)

Abstract

This study analyzes the technical efficiency of selected groups of companies of Bangladesh Stock Market that is Dhaka Stock Exchange (DSE) market using a stochastic frontier production function.This research considers Cobb-Douglas Stochastic frontier model with truncated normal distribution and both the time-variant and time-invariant inefficiency effects are estimated.The studied input variables-market return, market capitalization, book to market ratio and market value show significant relationship with the stock returns.The estimated average technical efficiency of DSE market is 95.42% of potential output for the truncated normal distribution over the period 2000-2008.The results show that technical efficiency gradually decreases over the reference period.The value of technical efficiency is high for investment group and low for bank group in time-variant situation whereas the value of technical efficiency is high for investment group also but low for ceramic group in time-invariant situation.

Item Type: Article
Uncontrolled Keywords: Technical efficiency, Cobb-Douglas stochastic frontier, truncated normal distribution, time-variant, time-invariant, Dhaka stock exchange.
Subjects: H Social Sciences > HG Finance
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 19 Nov 2013 07:28
Last Modified: 19 Nov 2013 07:28
URI: https://repo.uum.edu.my/id/eprint/9332

Actions (login required)

View Item View Item