Simple Search:

An Empirical Study on Malaysian IPOS and Their Profit Forecasts


Citation

Chang, Ling Foon (1998) An Empirical Study on Malaysian IPOS and Their Profit Forecasts. Masters thesis, Universiti Putra Malaysia.

Abstract / Synopsis

This paper is divided into two parts. The first part examines the trend of IPO's premiums and accuracy of profits forecasting in short run and long run. The second part examines the reputation of underwriters and size of auditors as possible determination of IPO's premium and accuracy of profits forecasting. Two hundred and forty-five new issues were analysed for the period 1993-1996. There are significant excess returns on the first day of trading with an average premium of 88 per cent. The first day IPO's premiums have a significant effect of two difference economy period. The average first day premium is about 104 per cent in the economy boom period (93-94) compared to 66 per cent in the post boom period. The results on profit forecast error showed reasonable accuracy of forecasts with an error of -2.72 per cent. Looking at the reputation of underwriters, size of auditors and the first day IPO's premium. The size of auditors and reputation of underwriters are not the determinate of the first day IPO's premium. From a sample of 137 companies after screening for outliers, 62 companies under-estimated and 75 over-estimated their profit forecasting. There is no statistically significant relationship between reputation of underwriter and size of auditor with the accuracy of profit forecasts.


Download File

[img] PDF
GSM_1998_19_A.pdf

Download (914kB)

Additional Metadata

Item Type: Thesis (Masters)
Subject: Profit - Malaysia.
Call Number: GSM 1998 19
Chairman Supervisor: Associate Professor Dr. Shamsher Mohamad Ramadili
Divisions: Graduate School of Management
Depositing User: Muizzudin Kaspol
Date Deposited: 17 Jan 2011 10:33
Last Modified: 25 May 2012 16:45
URI: http://psasir.upm.edu.my/id/eprint/9258
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item