THE EFFICIENT MARKET HYPOTHESIS AND THE THINLY TRADED ...

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UNIVERSITI PUTRA MALAYSIA

THE EFFICIENT MARKET HYPOTHESIS AND THE THINLY TRADED KUALA LUMPUR STOCK EXCHANGE: TESTS WITH APPROPRIATE REFINEMENTS

ANNUAR MD NASSIR

FEP 1991 3

THE EFFICIENT MARKET HYPOTHESIS AND THE THINLY TRADED KUALA LUMPUR STOCK EXCHANGE: TESTS WITH APPROPRIATE REFINEMENTS

ANNUAR MD NAS S IR

DOCTOR OF PHILOSOPHY UNIVERSITI PERTANIAN MALAYS IA

1991

THE EFFICIENT MARKET HYPOTHESIS AND THE THINLY TRADED KUALA LUMPUR STOCK EXCHANGE: TESTS WITH APPROPRIATE REFINEMENTS

by ANNUAR MD NAS SIR

The s i s Submitted in Ful fi lment o f the Requirements for the Degree o f Doctor o f Philosophy in the Faculty o f Economics and Management , Univers i t i Pertanian Malays ia .

December

1991

ACNOWLEDGEMENTS

wri' ting this part of the dissertation s ignalled a

seemingly

impossible

and

e laborate

an end to that

task

of

completing the Ph . D . programme . I

am

Professor

very grateful to my Ph . D . committee , cons i s t ing Dr .

Mohamed Ismai l Ahmad , Dr .

(both from Univers i t i Ariff

of

the

Shaari

Abdul

Department of

his

for

cons tructive

Finance

and

Banking ,

National

invaluable

critic isms

Mohamed

encouragement

guidance ,

o f the var ious aspects

of

the

leading to the comp letion o f this dissertation. I have bene fi ted

from

Department

of

S ingapore ,

for

his

Hamid

Pertanian Malays ia , UPM) and Dr . Mohamed

Univers i ty of S ingapore ( NUS ) . A spec ial thanks to Dr . Ar iff ,

of

valuable

Finance which

help

whi l e

and Banking , I

express my

a ttached

National s incere

work

greatly to

the

University thanks

Univers i ty authorities , the s taff o f the Department o f

and

to

of the

Finance

and Banking and Associate Professor Dr . Wong Kie Ann , the

head

of the department . This people

research

whom

I

has bene fited from the

wish to name ,

Zainal

help

Ab idin

of

Kidam

numerous and

research ass i s tants , Dr . Zab id Abdul Rashid , Dr . Zainal Mohamed ,

his

Ab idin

Dr . Shamsher Mohamed , and Sal 1eh Yahya , all from UPM ,

and to all those who have contributed in comp l e tion of this dissertation . ii

anyway

towards

the

A

spec ial

Hus s e in ,

apprec iation goes to Professor Dr . Mohd

Dean , Faculty of Economics and Management ,

Ariff

UPM ,

who

provided constant encouragement throughout the period of s tudy . A the

special thanks to the s taff of the research Kuala

Secur i ty

Lumpur Clearing

S tock

Exchange Berhad

Automated

Network

and

Services

department , s taff

of

of the

Sdn . Bhd . for

providing the bas ic data .

Las t ,

but

not leas t ,

a spec ial dedication to

my

wife ,

Hafizah Ismail and my three chi ldren , Akid , Afiq and Afham

for

the ir understanding and continuous encouragement throughout the long and lonely period of s tudy .

iii

TABLE OF CONTENTS Page ACKNOWLEDGEMENTS L I ST O F TABLES L I ST OF FIGURES ABSTRACT .. .. ABSTRAK

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ii vii x xii xvi

CHAPTER I

OBJECTIVES AND BACKGROUND Research Problem De finition . Jus t ification and Use ful lness o f S tudy Research Process and Plan . . Outl ine o f the The s i s .

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12

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THE EFFICIENT MARKET HYPOTHESI S: THEORIES AND EVIDENCE Introduct ion . . . Effic ient Market Hypothe s i s (EMH) Early Ideas o f Random Walk . Effic ient Marke t Hypo the s is : Further Development . . Tests and Evaluation o f EMH EMH Tests . . . . EMH Evaluated . Evidence on EMH EMH and the Developed Secur i t ies Marke ts . . EMH and the Deve lop ing Securities Marke ts with Recent His tory . EMH and the Kuala Lumpur S tock Exchange .. . EMH and the Development of Securi ty Market . , . . . . . . . . . . . . . . . ,. . . .

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34 40 47

DATA , RESEARCH DESIGN AN D METHODOLOGY Introduc tion . Data Set Research Des ign and Methodology Mode l Specifications . Kolmogorov- Smirnov D-tes t Weak- form Tes ts . . . Tests o f Semi-strong form .

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75

79 80 82 83

Efficiency . . Tests of S trong- form Effic iency Tes t Hypo theses . Summary " ................. .

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...............

RESULTS OF WEAK - FORM EFFICIENCY Introduc tion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . An Overview o f the KLS E . . . . . . . . . . . . . . . . . . . Historical Background Market S tructure and Growth Trading Prac t ices . . Commiss ion S tructure . Frequency of Trading S ome Prel iminary Invest igation . . Weak- form Test Results Average Ser ial Correlat ion Results : Q - statist ics Individual Serial Correlat ion Resul ts Cash Equivalent Resul ts . . . . . . . . . . . . . . A Crit ique . . Uni t Roo ts Analysis . . Summary .

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97 98 98 103 106 106 107 110 117 118 123 125 128 128 133

S EMI - STRONG FORM EFFICIENCY TEST RESULTS Introduction . ... . Errors Due t o Index Chosen . Results . . Marke t Adj us ted Re turns : Earnings Announcements . . Market Adj usted Returns: D ividend Announcements .. Risk- adj us ted Re turns: Discuss ion One A Comparison . .. Earnings Announcements . Dividend Announcements . Risk- adj usted Re turns using the DFR Correc ti on Technique - D iscussion Two Earnings Announcements . . . . . . . . . . . Dividend Announcements D ifferences i n Thinly Traded and Nonthinly Traded S tocks . Summary .

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136 138 141

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181 184

A TEST O F STRONG - FORM EFFIC I ENCY Introduction Results One Marke t Adj us ted Re turns Risk- adj usted Re turns .

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187 188 189 190

Resul ts Two Risk-Adj us ted wi th DFR Correc tion Swnmary Comparison of Overall Findings wi th Other Marke ts in Particular the S tock Exchange of Singapore ( SES ) Weak- form Efficiency Semi-s trong form Efficiency Comments .

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CONCLUSIONS , L IMITATIONS AND SUGGESTIONS FOR FURTHER RESEARCH Introduction Swnmary o f Findings Weak- form Effic iency Semi- s trong form Efficiency S trong - form Efficiency Possible Limitations Sugges t ions for Further Research Imp l ications o f S tudy .

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206 208 208 211 213 213 215 217 219

REFERENCES APPENDICES A

L i s t of Companies and Abbreviation Used in the S tudy Beta o f Individual Companies ( OLS and DFR) KLS E Compos ite Index and NST Indus trial Index Component Companies D ickey - Fuller Critical Values .

B C

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240 248 255 259 261

VITA

vi

LIST OF TABLES Table 1

Page Classi fication of the Three Levels of EMH into Three P o tential Degrees . . . . . . ..........

33

Composition and Marke t Capi talisation o f Each Sector i n KLS E: End 1 9 8 9 . . . . . . . . . . . . . . . . .

101

Growth in Number o f Companies , Market Capi talisation and Paid-up Capital over 1 9 7 5 - 19 8 9 : Malaysian Ringgit . . . . . . . . . . . . . . . . . .

104

Annual Volume of Trading on the KLS E over 1 9 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

108

Mean and S tandard Deviation of Volume Measure (Marke t Thinness Index) of Each Portfo lio Decile on the KLS E over 19 7 5 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

110

Summary S tati s tics of Various Indus try Sectors and Portfolio Deciles : 1 9 7 5 - 1 9 8 9

112

Q - S tatistic Values of Various Indus try S ec tors and Portfo lio Deciles: 1 9 7 5 - 1 9 8 9

119

Sub-period Q - S tatistic Values o f Various Industry Sectors and Portfo lio Deciles: 1 97 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

120

Q - S tatistic Values of the 30 Component S tocks of the NST Indus trial Index over 1 9 7 5 - 19 8 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

122

Individual Serial Correlation o f Twelve Lags for Various Indus try Sectors and Portfo lio Deciles over 197 5 - 1 9 8 9 : Percent Significant . . . . . . . . . . . . . . . . . . . . . . . .

123

Individual Serial Correlation o f Twelve Lags for the 30 Component S tocks o f the NST Indus trial Index over 19 7 5 - 1 9 8 9 : Percent Significant . . . . . . . . . . . . . . . . .........

124

Q - S tati s tic Values o f the Ten Deciles based on Log Cash Equivalent Re turns over 1 9 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

126

.

2 3

4

5

6 7 8

9

10

.

11

.

.

12

vii

.

.

.

13

14 15

16 17

18

Cash Equivalent Returns - Individual Serial Correlation of Various Indus try Sec tors and Portfolio Dec i les over 197 5 - 19 8 9 : Percent S ignificant . . . . . . . . . . . . . . . .

127

Summary of Regress ion Parame ters on Uni t Roots Analysis: 19 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . .

130

Summary of Uni t Roo t Regress ions on 8 2 S tocks: 19 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . . . . . . . .

132

B e t a Values of Portfolio Deci les on the KLSE over 1 9 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . . . . .

139

Market Adj us ted ARs around Earnings Announcements on the KLSE over 1 9 7 5 - 19 8 9 : S ample One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

143

Marke t Adj usted ARs around Earnings Announcements on the KLSE over 1 97 5 - 1989 : S amp le Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

..

147

Marke t Adj usted ARs around D ividend Announcements on the KLSE over 1 97 5 - 1989 : Sampl e One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

150

Market Adj usted ARs around Dividend Announcements on the KLSE over 1 9 7 5 - 19 8 9 : S ampl e Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

154

Risk-adj us ted ARs around Earnings Announcements on the KLSE over 19 7 5 - 1 9 8 9 : S ample One . . . . . . . . . . . . . . . . ......... .......

157

Risk- adj usted ARs around Earnings Announcements on the KLSE over 19 7 5 - 1 9 8 9 : S ample Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

160

Risk- adj usted ARs around Dividend Announcements on the KLSE over 19 7 5 - 1989 : S ample One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

164

.

19

.

.

.

.

.

20

.

21

.

22

.

.

.

23

.

.

.

24

.

Risk- adj us ted ARs around Dividend Announcements on the KLSE ove r 1 97 5 - 1 9 8 9: S ample Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

167

Risk- adj usted ARs (with DFR Correction) around Earnings Announcements on the KLSE over 19 7 5 - 19 8 9 : Sample One . . . . . . . . . .

170

.

25

.

viii

.

.

.

.

.



.

.

.

26

27

28

Risk-adj us ted ARs (with DFR Correction) around Earnings Announcements on the KLS E over 19 7 5 - 1989 : Sample Two . . . . . . . . . . . . . . . . . . . .

174

Risk- adj us ted ARs (with DFR Correction) around Dividend Announcements on the KLS E over 19 7 5 - 1 9 8 9 : S ample One . . . . . . . . . . . . . . . .

...

177

Risk-adj usted ARs (with DFR Correct ion) around Dividend Announcements on the KLSE over 19 7 5 - 19 8 9 : Samp le Two . . . . . . . . . . . . . . . . . . .

180

Results o f the Wilcoxon S i gned-ranks test on ARs of Earnings Increases and Decreases , and Dividend Increases and Decreases . . . . . . . . .

182

Results o f the Wilcoxon S igned-ranks Tes t on ARs (with DFR Correc tion) o f Earnings Increases and Decreases , and D ividend Increases and Decreases . . . . . . . . . . . . . .

183

Market Adj us ted and Risk- adj us ted ARs around " S tock o f the Month" Announcements on the KLSE over 19 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . .

191

Risk-adj usted ARs (with DFR Correc t ion) around " S tock of the Month" Announcements on the KLSE over 19 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . .

194

Individual Serial Correlations o f Lag s (s 1 , 2 , . . . . 1 2 ) o f the Component S tocks of the NST Indus trial Index: 1 9 7 5 - 1 9 8 9 . . . . . . . .

198

Individual Serial Correlat ion Findings of Koo ( 19 8 3 ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

199

Individual Serial Correlation Results of Hwang and Finn ( 19 8 3 ) . . . . . . . . . . . . . . . . . . . . . . . . .

199

.

.

29

.

30

31

32

33

-

34 35

ix

LIST OF FIGURES F i gure 1

2 3 4

5 6 7

8

9

10

11

12

13

Page Marke t S ize Relative to Gross National Product and Income between Emerging and Deve loped Markets : 1 9 8 7 . . . . . . . . . . . . . . . . . .

103

Growth in Vo lume of Trading on the KLSE over 1 9 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

108

Log Re turns Behaviour of the Leas t Ac t ively Traded Portfo l io ( P 1 ) . . . . . . . . . . . . . . .

115

Log Returns Behaviour of the Moderately Traded Portfol io ( P 5 ) . . . . . . . . . . . . . . . . . . . . . . . .

115

Log Returns Behaviour of the Mos t Act ive ly Traded Portfo l io ( P10 ) . . . . . . . . . . . . . .

116

Log Re turns Behaviour of the NST Indus tr ial Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

116

Marke t Adj us ted CAR around Earnings Announcements on the KLSE over 1 97 5 - 1 9 8 9 : Samp l e One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

144

Market Adj us ted CAR around Earnings Announcements on the KLSE over 19 7 5 - 1989 : Sampl e Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

148

Market Adj us ted CAR around D ividend Announcements on the KLSE over 1 9 7 5-1989 : Samp le One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

151

Market Adj us ted C AR around D ividend Announcements on the KLS E over 1 9 7 5 - 19 8 9 : Sample Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

155

Risk- adj us ted CAR around Earnings Announcements on the KLSE over 19 7 5 - 19 8 9 : Sample One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

158

Risk - adj us ted C AR around Earnings Announcements on the KLSE over 1 9 7 5 - 19 8 9 : Sample Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

161

Risk- adj us ted C AR around D ividend Announcements on the KLSE over 1 97 5 - 1 9 8 9 : Sample One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . '" . . . ,

165

x

14

Risk- adj usted CAR around Dividend Announcements on the KLS E over 1 9 7 5 - 19 8 9 : Sample Two . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

168

Risk- adj us ted CAR with DFR Correct ion around Earnings Announcements on the KLS E over 19 7 5 - 1989 : Sample One . . . . . . . . . . . . . . . .

171

Risk- adj usted CAR with DFR Correction around Earnings Announcements on the KLSE over 1 9 7 5 - 19 8 9 : Samp le Two . . . . . . . . . . . . . . . . . .

175

Risk - adj us ted CAR wi th DFR Correction around D ividend Announcements on the KLSE over 1 9 7 5 - 1 9 8 9 : Sample One . . . . . . . . . . . . . . . . . . .

178

Risk- adj usted CAR with DFR Correction around D ividend Announcements on the KLSE over 1 9 7 5 - 19 8 9 : Sample Two . . . . . . . . . . . . . . . . . . .

181

Marke t Adj u s ted and Risk- adj us ted CAR around "S tock o f the Month" Announcements on the KLSE over 1 97 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . .

192

Risk- adj usted CAR (with DFR Correction) around "S tock of the Month" Announcements on the KLSE over 1 9 7 5 - 1 9 8 9 . . . . . . . . . . . . . . . . . . .

194

Abnormal Returns around Earnings Announcements: 19 7 3 - 1 9 8 2 In the S ingapore S tock Exchange . . . . . . . . . . . . . . . . . . . . . . . . . . . .

203

Abnormal Returns around D ividend Announcements : 1 97 3 - 1 9 8 2 In the S ingapore S tock Exchange . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

203

Risk - adj usted CAR around Earnings Announcements for Aus tralia over 1 96 3 - 1 9 7 2

204

Risk- adj us ted CAR around D ividend Announcements for Austral ia over 19 6 3 - 1 9 7 2

204

Risk- adj usted CAR around Earnings Announcements for New Zealand over 196 9 1979 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

205

Risk- adj us ted CAR around Earnings and Subsequent D ividend Announcements for New Zealand over 1 9 6 9 - 1 9 7 9 . . . , . . . . . . .. . . . .

205

.

15

.

.

.

16

.

.

.

17

18

19

20

21

.

22

.

.

.

23 24 25

26

xi

Abs tract o f the s is submitted to the Senate o f Univers i t i Pertanian Malays i a i n fulfilment of the requirements for the degree of Doctor of Phi losophy .

THE EFFIC IENT MARKET HYPOTHESIS AND THE THINLY TRADED KUALA LUMPUR STOCK EXCHANGE : TESTS WITH APPROPRIATE REFINEMENTS

By ANNUAR BIN HD NASSIR

December 1 9 9 1

Supervisor : Mohamad Ari ff , Ph . D .

Facul ty : Economics and Management

S tudies the

on the Efficient Market Hypothe s i s (EMH) in

deve loped

mixed

and developing cap i tal

evidenc e .

incorrectly

EMH

priced

oppor tuni ties

which

presupposes

secur i t ies

and

markets an

have

ab i l i ty

prof itable

move the marke t towards

inves tors

reac tion to relevant information .

de tect

arb itraging

e fficiency .

Thi s

unbiased

means

cannot cons i s tently prof i t from any de lays in

adj us tment reflecting new information .

xii

The

purported

to provide evidence that securities marke t prices are the i r

revealed

to

early emp ir ical work on developed secur ities markets

in

both

that price

However , 1980s ,

evidence from

have

subsequent

no t reached such

s tudies , in the early

cons is tent

These

conclu s ion .

s tudies show anomalous price behaviour in secur i t ies

markets :

among o thers , s ize effec ts , turn of the year e ffects ,

week- end

e ffects ,

e tc . , which are argued by some as evidence o f

marke t

inefficienc ie s .

The

Kuala Lumpu r S tock Exchange ( KLS E ) be ing

i l l i qu id provides a su i table thinly of

small

setting to evaluate the EMH in

traded scenario . In prior s tudies on market

the

KLSE ,

no attemp t was made

thinne s s .

In

order

portfo l i o

dec iles

to

and

control

to for

control market

a

e fficiency market

for thinne s s ,

of KLS E l is ted s tocks which differ

ten

in

the

degree of market thinnes s were created . The s tandardised volume of

trading was proxied as a su i table indicator

for

measuring

the

weak- form

which

measures

market thinne s s . Three

tes ts

e fficiency the

of

average

correlations

were performed to

the

KLS E : ( i )

serial

Q - s tatistic

correlations ,

analys i s

( for

evaluate

( ii)

individual

12 lags ) and

( iii)

unit

s erial roo t s

analys i s . Tes t resu lts o n s ix equally-we ighted dividend - di s tr ibuted indus try the

KLSE

Indu s tr ial

s ec tor

portfol ios , two

Compos i t e Index Index)

and

exis t ing

and the New

S traits

an equally - we ighted

xi i i

indices T imes

(name ly (NST)

marke t ·portfo l io

( � t ) indicate that the

two

indus try

average

the KLSE Compos ite , the NST Indus trial and sec tors (hote l correlations

serial

e ffic iency . Resul ts on the

degree

three

of

exhib i t

weak- form

the

market average

serial

90

percent

For

tin

sectors )

cons is tent

with

portfo l ios

which

thinness

e ffic iency .

results ,

ten

and

showed

that

correlat ions

weak- form differ al l

on

except

cons i s tent

serial

individual

exhib i t

with

correlation

of the 30 component s tocks

of

the

Indus trial Index showed price behaviour cons i s tent with

NST

random

walk or weak- form efficiency . A from

uni t roo t tes t was app l ied us ing

each

of

the ten portfo l i o

a sample

dec iles.

The

of

s tocks

D ickey - Fuller

tes t of s i gnificance sugges ted that current prices are the best estimates current lag

o f future prices . An average of 87 percent price

behaviour

of

is explained by the immediate

the

price

var iable .

To

evaluate

the

form

sem i- strong

e fficiency ,

an

infrequently traded sample (Sample One ) and a frequently traded samp l e were

(Sample used

Two ) of annual earnings and

to s tudy price react ions

Three methods were used to estimate market

adj us ted

r isk- adj us ted

to

dividend

information

incorporating the

D imson ,

Rorke ( DFR) corrections for thin trading b ias . x iv

arr ival.

the res idual returns :

returns , the risk - adj us ted re turns

returns

changes

the

and

the

Fowler

and

The

findings

suggests that ( i )

earnings

and

dividend

announcements contain informat ion relevant for secur i ty pric ing and

( i i ) the market antic ipates the informat ion

the se

announcements

announcement . announcement of

marke t

There

contained

in

three to four months

before

the

actual

were ,

s i gni ficant

pos t -

res iduals

occas ionally ,

which

ine ffic ienc ies :

may

thi s i s

b e inte rpreted as generally

true

pocke ts for

the

infrequently traded sample (Sample One ) .

To made

complete

the previous inve s t igation , an attempt was

to evaluate the strong - form e fficiency of the KLSE

sample

of

" s tock of the month" recommendations .

appear

to

support the no t ion that the marke t

is

The

us ing results

s trong - form

inefficient .

with

The

overall findings o f thi s s tudy are no t

the

weak- form and semi - s trong form

act ively

traded

portfo l ios

EMH

( s tocks ) . The re

incons is tent

espec ially is

evidence

for of

ine ffic ienc ies in the thinly traded portfo l ios ( s tocks ) at

the

margin .

Further work is needed to disentangle the

for

del ayed

immediacy

However ,

the

in

the pric ing o f

evidence

of

thinly

s trong - form

pronounc e d .

xv

reward

traded

stocks .

ine ffic iency

is

Abs trak tesis yang dikemukakan kepada S enat Universiti Pertanian Malaysia sebagai memenuhi syarat untuk Ij azah Doktor Falsafah .

HIPOTESIS PASARAN CEKAP DAN BURSA SARAH KUALA LUMPUR YANG BERDAGANGAN RENDAH : PELBAGAI UJIAN DENGAN KEHALUSAN YANG SESUAI

Oleh ANNUAR BIN MD NASS IR

December 1 9 9 1 Penye l ia : Mohamad Ar iff , Ph . D .

Fakulti : Ekonomi dan Pengurusan

Kaj ian maj u

dan

terhadap Hipotesis Pasaran

negara

bercampur - campur . harga

sekuri t i

sedang HPC

yang

peluang- pe luang

membangun

mengandaikan

Cekap (HPC ) di

menunj ukkan kebo lehan

tidak menggambarkan

negara

bukti

yang

mengenalpas t i

nilai

mempero lehi keuntungan mel alui

sebenar

dan

arb i traj

yang

mana menggerakkan pasaran menj adi cekap . Kaj ian - kaj ian awal pasaran bahawa

saham harga

kesesuaian berpeluang

negara- negara membangun pasaran sekur i t i bergerak

mengaut

tanpa

bermakna

para

keuntungan secara

tekal

maklumat.

Ini

mengukuhkan

pandangan

b ias

mengikut

pelabur dari

di

tidak

kelambatan

tindakbalas harga sekuri t i terhadap maklumat semasa . Walau bagaimanapun , kaj ian- kaj ian berikutnya , terutama awal

1980an , mendapati bukti - bukt i

xvi

sebal iknya .

di

Kaj ian - kaj ian

ini

menunj ukkan

seperti

kesan

sebagainya ,

gelagat

" anomal i "

dalam

saiz , kesan huj ung tahun ,

yang

telah

dimaj ukan

pas aran

kesan

oleh

sekuriti

mingguan

s e tengah

dan

penye l idik

sebagai bukti bahawa pasaran adalah t idak cekap . Pasaran mempunyai

Saham

Kuala

Lumpur

yang

bersaiz

kec i l

tahap kecairan yang rendah , mewuj udkan

sesuai

untuk

Dalam

kaj ian - kaj ian

ruang

menguj i HPC dalam suas ana dagangan lepas

mengenai

dan yang

yang

kecekapan

tipis . pasaran

Pasaran S aham Kuala Lumpur , me todo logi untuk mengawal ketipisan pasaran

tidak

pasaran

ini , sepuluh dec i l e portfolio

ke tipisan

diamb i lkira . Untuk mengawal

pasaran

masalah

yang

ke tipisan

mempunyai

yang berbez a telah dibentuk .

darj ah

Jumlah

saham

yang didagangkan menj adi proks i ke tipisan dagangan . Tiga

uj ian

telah

dij alankan

untuk

menguj i

hipotes is

pasaran cekap dalam bentuk l emah : ( i ) S tatis tik-Q yang mengukur purata

korelas i , ( i i ) korelas i individu ( 12 lags ) ,

anal i s i s

dan

" unit root " . Keputusan uj ian terhadap enam

portfolio

sektoran , dua indeks pasaran ( Indeks Compos ite KLSE dan Perusahaan

New S trait T imes , NST) dan satu

( iii)

portfo l io

Indeks pasaran

( � t ) menunj ukkan Indeks Composite KLS E , Indeks Perusahaan dan ciri

dua portfo l io sektoran (hotel dan tin)

mempunyai

NST c ir i -

purata korelas i bertekalan dengan HPC dalam bentuk lemah .

Sementara keputusan uj ian sepuluh dec i le portfo l io tuj uh dec i le portfo l io mencerminkan ciri - c ir i xvi i

menunj ukkan

purata· kore las i

yang

menyokong

individu 90

HPC

dalam bentuk

lemah .

Keputusan

3 0 saham komponen Indeks Perusahaan NST

peratus

saham mempunyai gelagat

harga

korelas i

menunj ukkan

bertekalan

dengan

teori "p�rj alanan rambang" atau kecekapan pasaran dalam

bentuk

lemah . Anal i s i s

" unit

root "

telah

dilakukan

terhadap

sampel

saham dari setiap dec ile portfo l io . Uj ian keberkesanan

Dickey ­

Ful ler menunj ukkan bahawa harga semasa adalah anggaran

terbaik

harga

gelagat

di masa hadapan . Secara puratanya ,

87

peratus

harga semasa dihuraikan oleh variabel terdekat lag harga . Untuk

menguj i HPC dalam bentuk separuh kuat ,

dua

sampel

iaitu sampe l perubahan pendapatan dan dividen akhir tahun berdagangan

lemah

( Sampe l S atu) dan yang

( Sampe l Dua) telah digunakan

berdagangan

untuk mengkaj i t indakbalas

sekuri t i terhadap maklumat yang re levan . Tiga kaedah menganggarkan

untuk

terl aras ,

pUlangan

pulangan r i s iko

terlaras

dan

cergas harga

digunakan pasaran

pUlangan

res idual :

yang

pUlangan

risiko

terlaras yang mengamb i lkira pembetulan Dimson, Fowler dan Rorke ( DFR) untuk b ias dagangan tipis . Has i l kaj ian menunj ukkan bahawa ( i ) pengumuman dan untuk

pendapatan

dividen akhir tahun mengandungi maklumat - maklumat penentuan

menj angka

harga

sekur i t i ,

dan

( ii )

makluma t - maklumat yang terkandung

xvi i i

pasaran dalam

relevan telah

pengumuman

pendapatan dan dividen t iga atau empat bulan sebelum pengumuman makluma t - maklumat s i gnifikan pasaran

tersebut .

Terdapat pulangan

residual

yang boleh di interpretas ikan sebagai

bukti

yang bahawa

adalah tidak cekap : pengamatan ini adalah benar

untuk

sampel saham yang berdagangan lemah ( Sampe l S atu) .

S atu dalam

anal i s i s

bentuk

menggunakan tuj uan

tambahan telah dibuat

kuat

di

" saham

Pasaran

S aham

bulanan terp i l ih"

untuk

Kual a

menilai

dengan

Lumpur

sebagai

ini . Keputusan uj ian menunj ukkan bahawa

HPC

sampel

untuk

Pasaran

Saham

Kual a Lumpur adalah tidak cekap dalam bentuk kuat .

Keputusan menye luruh kaj ian ini membukt ikan bahawa Pasaran S aham Kuala Lumpur adalah cekap dalam bentuk lemah dan kuat

terutamanya

cergas . cekap l emah .

Terdapat terutamanya Kaj ian

untuk

j uga bukti yang untuk portfo l io

lanj ut

t indakbalas

harga

saham - saham

yang

portfo l io

diperlukan

terhadap

( saham)

menunj ukkan ( saham) untuk

maklumat

berdagangan

lemah .

pasaran dalam bentuk kuat adalah kukuh .

xix

yang

memahami

Bukti

berdagangan

pasaran

yang

dalam

separuh

tidak

berdagangan kelewatan

penentuan

harga

ke tidakcekapan

CHAPTER I

OBJECTIVES AND BACKGROUND

Research Problem Definit ion Two decades have passed s ince the term " e ffic ient was firs t term

coined

e ffic ient

Effic ient Rol l

i n the financ ial market

was first used

l i terature . The

in

the

context

Marke t Hypothes i s ( EMH) by Fama , Fisher , Jensen

( 19 6 9 , p . 1 ) , where i t was

adj us ts

rapidly

( 19 6 5 )

economics

marke t "

to

defined as

a

new information . Prior

proposed the EMH in some

of and

market

that

that

Fama

to

details . The idea

of

random

walk , which preceeded EMH , is attributed to Bachelier ( 1900 ) .

The

idea

agreement

economics .

several

and Over

s timulated lately ,

and ,

researchers

grown

has

interest

some

and

disagreement

prac t i tioners in the field of the years , a rich body

of

controversy , among

both

finance

l i terature

documenting the general val idity of EMH particularly deve loped securities marke ts of the

world .

As

and has in Fama

( 19 7 0 , p . 416 ) pointed out : the evidence in support of the efficient market models is extensive, and (somewhat uniquely in economics) contradictory evidence is sparse.

This s tudy is concerned with examining the effic iency of a develop ing

cap ital

market

namely ,

1

the

Kuala

Lumpur S tock

2 Exchange .

It

will be fruitful to examine the

s tatus

of

the

theory before defining the research obj ective s . The

early

emp i r ical

works

which

provide

evidence

that secur i ties market prices are unbiased in the ir reac t ion to relevant

informat ion

was seen as the consequence of

rational

inves tor behaviour of weal th maximis ing in comp e t i t ive marke ts . In

a

we l l - functioning

reflect

unb iased

avai labl e marke t ,

market , the

predictions

information . I t

prices

based

on

is general ly

of

all

s tocks

wi l l

relevant

and

b e l i eved

that

be ing intense ly comp e t i t ive in nature , is

s tock

e fficiently

pr iced both in the weak- form sense and semi - s trong sense: Fama , op . c i t . However , f indings from subsequent s tudies have not reached such

cons i s tent

conclus ion ,

evidence

supporting

example ,

evidence

EMH ,

( al though is

at

continua l ly

of " anomalous " re turn

e ffects ,

( PI E ) ratio e ffects , Value Line among

idiosyncrac i es

other

documented) .

phenomenon ,

( for an excellent e luc i dation o f

For now

is

e ffects , low

evidence

voluminous

time ,

same

behaviour

widespread : s iz e effec ts , turn o f the year earning

the

price

week-end

of

market

s tock

marke t

Bal l and Brown

( 19 7 8 ,

seasonali t ie s , see Ari ff and J ohnson , 1 9 9 0 ) . However , Officer ( 19 7 5 , p . 3 1 ) and p . 1 ) asserted s tock

prices

that is

the presence

not in itself

o f a seasonal behaviour a

suffic i ent

condit i on

in for

3 rej ecting the EMIL A

more l ikely

explanat ion

is

related

to

the struc ture of the economy , for example , changing opportunity costs of money through

the

re turns over all t ime

year : the

period

is

no t

assump t ion a

of cons tant

necessary

condi tion

o f cap i tal marke t equil ibrium .

J ensen ( 19 7 8 , p . 9 5 ) , in an introduc tory comment :

I believe there is no other proposition in economics which has more solid empirical evidence supporting it than the E�H. It is evidence which we will not be able to ignore.

Ball ( 19 8 9 , p . 2 7 ) ant i c ipates : I expect many (though certainly not all) of the anomalies ("inefficiencies") to be resolved in favour of efficiency.

Based be

upon these commentory and the evidence to - date

discus s e d

rej ect

EMH

at a later s tage ) i t is therefore

based

persis tent anomalous the

purely on emp irical issues s tock

1980s . Furthermore apparent

of

discernible

as

ine ffic iency

return Ball is

premature raised

noted

uncomp l icated

to investors , implying a

by

to the

documented

behaviour ( 19 8 9 )

( to

relative ly

in

the

evidence

and

read ily

dis ingenuous

use o f information . There

are

various reasons why market

effic iency

should

hol d . Firs t , s tock marke ts mus t rank highly among markets on priori

l ikel ihood

of

be ing

competitive :

there

are

a

no

4 serious entry barriers , there are many buyers and sellers , trans action costs are low and continues to get lower .

and

Second ,

s ince tests o f effic iency imp l icitly or exp l i c i tly involve tes t o f effic iency as mode l led

a

behaviour ,

it

effic iency

might be prej udiced

model

seems

by

itse l f .

hypothe s i s

is

particular equil ibrium

more l ikely

As

Ball

that :

that

by

failure

fai lure in

( 19 78a ,

p.

( i ) the two

Ill)

to

document

asset

pricing

raised:

parame ter

to

process

generating

S tr ictly

speaking , tests o f market effic iency are j o int

securities '

stocks , yields

" The

mode l

applied

a portfolio of common

price

when

misspec i fied in

the

equ i l ibrium . " tes ts

o f the hypothes is and the price - generating mode l assumed in the tests . Third , there is a solid body of emp i r ical work documenting the

general

val idity of EMH and qualified

interpretation

marke t " ine fficienc ies " ( in view of the re luc tance rej ect

the

academic

notion

of

researchers

prac t i tioners ) .

Fourth ,

marke t and the

e ffic iency to

a

of

totally

espec ially

lesser

exis tence

to

extent a

of

among among

powerful

and

irreve r s ible tendency for marke t ' s e ffic iency to increase

over

t ime

from

rather than to diminish that is , markets will learn

experience (see , for example , Dawson , 1984b ) . £MR.

generally conform t o expectations i n the

markets , turnover ,

Mos t tes ts o f developed

s tock

charac terised by among others , act ive trading ,

large

large

number o f uti l i ty

maximis ing

inves tors ,

no