Cost of Capital and Bursa Malaysia Listed Company

This study estimates the cost of capital of 226 securities listed in the Bursa Malaysia. The study's sample covers the period from January 1992 to August 2005. The cost of capital using Ordinary Least Squares Regression is first obtained. Next, the cost of capital using the 3 techniques which a...

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Main Author: Lim, Ru Po
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2005
Online Access:https://eprints.nottingham.ac.uk/23978/
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author Lim, Ru Po
author_facet Lim, Ru Po
author_sort Lim, Ru Po
building Nottingham Research Data Repository
collection Online Access
description This study estimates the cost of capital of 226 securities listed in the Bursa Malaysia. The study's sample covers the period from January 1992 to August 2005. The cost of capital using Ordinary Least Squares Regression is first obtained. Next, the cost of capital using the 3 techniques which are the Scholes-Williams, the Dimson and Fowler-Rorke beta estimators for correction for nonsynchronous bias due to thin trading is applied. This study differs from the previous studies as this extends by using the market risk premium to calculate the beta while the previous studies used the market return to estimate the betas. The results show that the cost of capital using the Fowler-Rorke 1 lag/lead specification of the Market is best for the Malaysian security market. In this study, we found that the hotel sector has the higest average cost of capital with a value of 8.13 percent. In addition, we also found that 210 companies have recorded negative average annual returns minus cost of capital. The stability tests using the Cross-Sectional Correlation Coefficient and the t-test show that at 0.05 level of significance, there is stability for betas across the two subperiods.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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language English
last_indexed 2025-11-14T18:48:09Z
publishDate 2005
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spelling nottingham-239782018-01-29T21:55:02Z https://eprints.nottingham.ac.uk/23978/ Cost of Capital and Bursa Malaysia Listed Company Lim, Ru Po This study estimates the cost of capital of 226 securities listed in the Bursa Malaysia. The study's sample covers the period from January 1992 to August 2005. The cost of capital using Ordinary Least Squares Regression is first obtained. Next, the cost of capital using the 3 techniques which are the Scholes-Williams, the Dimson and Fowler-Rorke beta estimators for correction for nonsynchronous bias due to thin trading is applied. This study differs from the previous studies as this extends by using the market risk premium to calculate the beta while the previous studies used the market return to estimate the betas. The results show that the cost of capital using the Fowler-Rorke 1 lag/lead specification of the Market is best for the Malaysian security market. In this study, we found that the hotel sector has the higest average cost of capital with a value of 8.13 percent. In addition, we also found that 210 companies have recorded negative average annual returns minus cost of capital. The stability tests using the Cross-Sectional Correlation Coefficient and the t-test show that at 0.05 level of significance, there is stability for betas across the two subperiods. 2005 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/23978/1/limrupo.pdf Lim, Ru Po (2005) Cost of Capital and Bursa Malaysia Listed Company. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Lim, Ru Po
Cost of Capital and Bursa Malaysia Listed Company
title Cost of Capital and Bursa Malaysia Listed Company
title_full Cost of Capital and Bursa Malaysia Listed Company
title_fullStr Cost of Capital and Bursa Malaysia Listed Company
title_full_unstemmed Cost of Capital and Bursa Malaysia Listed Company
title_short Cost of Capital and Bursa Malaysia Listed Company
title_sort cost of capital and bursa malaysia listed company
url https://eprints.nottingham.ac.uk/23978/