The Relationship Between Trading Volume and Stock Returns
Abstract
This study examines the relationship between trading volume and stock returns. The sample of the study consists of 266 stocks traded at the Colombo Stock Exchange (CSE) from 2000-2008. This study follows the conventional methodology used by Jagadeesh and Titman (Jagadeesh and Titman, 1993). The study revealed that stock returns are positively related to the contemporary change in trading volume. Further, it was found that past trading volume change is negatively related to stock returns. Investor misspecification about future earnings or illiquidity of low volume stocks can be the reason for the negative relationship between trading volume and stock returns.
Full text
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The Rela ionship Be ween T ading Volume
and S ock Re u ns
Chand apala Pa hi awasam
Abs ac
This s udy examines he ela ionship be ween ading olume and s ock e u ns. The sam-
ple o he s udy consis s o 266 s ocks aded a he Colombo S ock Exchange (CSE) om
2000-2008. This s udy ollows he con en ional me hodology used by Jagadeesh and Ti man
(Jagadeesh and Ti man, 1993). The s udy e ealed ha s ock e u ns a e posi i ely ela ed o
he con empo a y change in ading olume. Fu he , i was ound ha pas ading olume
change is nega i ely ela ed o s ock e u ns. In es o misspeci ica ion abou u u e ea nings o
illiquidi y o low olume s ocks can be he eason o he nega i e ela ionship be ween ading
olume and s ock e u ns.
Key wo ds: ading olume, s ock e u ns, Colombo S ock Exchange
1. INTRODUCTION
Fama poin s ou ha a ma ke is weak- o m e icien i all he in o ma ion con ains in pas s ock
p ices ully e lec in cu en p ices (Fama, 1970, 1991). This implies ha pas secu i y p ices
can no be used o p edic he u u e p ice changes and hence, echnical analysis ools ha e no
alue. In con as , echnical analys s belie e ha in o ma ion con ained in pas secu i y p ices
is no ully inco po a ed in cu en secu i y p ices, and hence, hey belie e ha by obse ing
he pas secu i y p ices, in o ma ion can be ob ained on u u e secu i y p ices. The e o e, i is
an in e es ing opic in inance o asce ain whe he a ma ke is week- o m e icien .
Technical analys s s ongly belie e ha “I akes olume o make p ice mo e” (Kapo , 1987).
The ea ly s udies on olume-p ice ela ion sugges ha he e a e posi i e ela ions be ween
he absolu e alue o daily p ice changes and daily olume o bo h ma ke indices and indi-
idual s ocks. (see, o e.g., Ying, 1966; Wes e ield, 1977; Ru ledge, 1984). The ea ly s udies on
olume-p ice ela ion examined con empo aneous ela ionships be ween ading olume and
absolu e p ice changes. Hence, hey ha e li le ele ance on he p edic abili y o u u e s ock
p ices.
Adding a new pa adigm o he ading olume-p ice ela ionships, Ge a s, Kaniel and Mingel-
g in (KGM) in es iga e he ole o ading ac i i ies in e ms o he in o ma ion i con ains
abou u u e p ices (Ge a s, Kaniel and Mingelg in, 2001). In o he wo ds hey a e in e es ed
in he powe o ading olume in p edic ing he di ec ions o u u e p ice mo emen s. They
ind ha indi idual s ocks whose ading olume usually la ge (small) o e pe iod o a day o a
week, end o expe ience la ge (small) e u ns o e he subsequen mon h.
Li e a u e e eals ha mos o he s udies on olume-p ice ela ionships ha e been done based
on de eloped ma ke s. The e o e his s udy is o empi ically examine he ading olume-p ice
ela ionships in eme ging ma ke o Colombo S ock Exchange. This s udy has wo objec-
i es, i s , o empi ically examine he con empo a y ela ionship be ween he ading olume
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change and s ock e u ns. Second, o empi ically examine he in o ma ion con en o pas
ading olume in p edic ing he u u e di ec ion o s ock e u ns.
The s udy used mon hly s ock p ices and ading olume o 266 companies du ing he pe iod
om Feb ua y 2000 o Decembe 2008. This s udy ollows he con en ional me hod widely
adop ed on he momen um li e a u e (Jegadeesh and Ti man, 1993) o o m olume based
ading s a egies. The s udy inds ha ading olume is posi i ely ela ed wi h s ock e u ns
in he con empo a y pe iod and he ela ionship is nega i e when he pas ading olume is
ela ed wi h s ock e u ns.
This pape is o ganized as ollows. In he nex sec ion li e a u e ela e o ading olume–p ice
ela ionship is b ie ly desc ibed. Sample, da a, hypo heses and me hod o compu a ion explain
in sec ion III. In he sec ion IV, main esul s a e p esen ed while las sec ion concludes he
pape .
2. REVIEW OF LITERATURE
S udies on olume–p ice ela ion go back o 1950s. Osbo ne shows a heo e ical ela ion be-
ween olume and p ice (Osbo ne, 1959). Mos o he ea ly s udies ind posi i e co ela ion
be ween he absolu e alue o daily p ice changes and daily olume o bo h ma ke indices and
indi idual s ocks. G ange and Mo gens e n conduc an ea ly empi ical s udy based on New
Yo k S ock Exchange (NYSE) composi e index om 1939-1961(G ange and Mo gens e n,
1963). He inds ha he e is no ela ion be ween absolu e alue o daily p ice changes and daily
olume. Howe e , subsequen s udies ind a ela ionship be ween absolu e p ice change and
olume change (see, e.g., Ying, 1966; Co ouch, 1970; Epps and Epps, 1976; Ha is, 1986). In
ecen s udies esea che s ha e ound con empo a y and lag ela ion be ween s ock e u ns and
ading olume (see, e.g., Chen, Fi h and Rui, 2001; Khan and Rizwan, 2001; Lee and Rui,
2002; Pised asalasai and Gunaseka age, 2008).
Taking a new app oach o olume– e u n ela ionship GKM de eloped isibili y hypo hesis
based on iewpoin s o Mille and Maysha (Mille , 1977; Maysha , 1983). Visibili y hypo hesis
holds ha when in es o s ha e di e se opinions abou he alue o a s ock, he ade s who
bough he s ock a e op imis ic abou i s alue. Fu he , when he s ock’s supply is limi ed by
sho selling o ma gin ading hen he opinion o he pessimis ic in es o s will no inco po-
a e in o he s ock p ice and he s ock p ice will be bias. GKM poin ou ha unde such si u-
a ion, any posi i e shock in numbe o ade s gi ing a en ion o he s ock (GKM named as
inc ease in he s ock’s isibili y) will inc ease demand o he s ock (because numbe o buye s
inc ease). Howe e , supply o he s ock will emain cons an (no excess in sales). Hence, ol-
ume and p ice mo e posi i ely. The e o e, he isibili y hypo hesis sugges s ha unde ma ke
cons ain s, i mo e ade s’ a en ion is a ac ed on a s ock i s ading olume and p ice will
inc ease.
Visibili y hypo hesis is i s es ed by GKM and subsequen ly by Huang and Heian (Huang
and Heian, 2010). GKM examine he ela ionship be ween cu en ading olume wi h u-
u e e u ns o NYSE om 1963 o 1996 o bo h daily and weekly da a. Numbe o sha es
aded is used as he measu e o ading olume. Po olios a e o med in acco dance wi h he
Jegadeesh and Ti man app oach (Jegadeesh and Ti man, 1993). They o med high, medium
joc_3-2011en_ 3.indd 42 30.9.2011 16:58:59
43
and low olume po olios based on daily and weekly da a and wi hou ebalancing kep hese
po olios o 1, 10, 20, 50 o 100 ading days. S udy inds ha po olios wi h high ading
olume ended o be ollowed by high e u ns and ice e sa. This high- olume e u n p e-
mium is ue when he o ma ion pe iod is day o a week. I las ed a leas 20 ading days and
a mos 100 ading days.
Huang and Heian examine he isk adjus ed high alue p emium based on all i ms lis ed on
NYSE and AMEX om Augus 1963 o Decembe 2005 (Huang and Heian, 2010). They use
he con en ional me hod widely used by momen um li e a u e (Jegadeesh and Ti man 1993) o
es he s a egy. Fo ma ion pe iod is 26 weeks and he holding pe iod a ied om 1 week o
52 weeks. They ind s a is ically signi ican abno mal e u ns o high olume minus low ol-
ume po olio o holding pe iods 1-4 weeks. Howe e , hey u he o ind ha as he holding
pe iod inc ease beyond 8 weeks, abno mal e u ns dec ease signi ican ly.
3. DATA AND METHODOLOGY
3.1 Da a
All he da a used in he s udy is aken om he CSE da a lib a y. The sample pe iod co e s 9
yea s om Feb ua y 2000 o Decembe 2008. The sample o he s udy includes all he lis ed
s ocks in he CSE. This sample includes e en delis ed s ocks in o de o add ess he p oblem
o su i o ship bias1. The e o e he o al sample includes 266 companies.
3.2 Me hodology
Volume e u n- ela ionships a e examined in wo ways. Fi s , he con empo a y ela ion be-
ween changes in olume- e u n is examined and nex he ela ionship be ween pas ading
olume and u u e s ock e u ns a e examined. Change in olume and mon hly s ock e u ns
a e compu ed as ollows.
The a iables used in he s udy a e mainly mon hly indi idual s ock p ices and numbe o
s ocks aded. Pe cen age mon hly e u ns a e compu ed using indi idual s ock p ices as ol-
lows.
100
1,
1,,
,
u
i
i i
i
P
PP
R
i
R
,
= Capi al gain e u ns o he
i
h sha e in he mon h
.
i
P
, = P ice o he
i
h sha e a he end o mon h
.
= P ice o he
i
h sha e a he end o he p e ious mon h.
1, i
P
Pe cen age mon hly e u ns a e adjus ed o di idends, igh issues and bonus issues on he
basis o ein es men assump ion a he end o he mon h in which ex-da e occu ed. The ol-
lowing o mula is used o compu e he mon hly ading olume changes.
1 Ko ha i, Shanken and Sloan show ha he da a selec ion biases including a su i o bias signi ican ly a ec ed
on he anomalies (Ko ha i, Shanken and Sloan, 1995).
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1,
1,,
)(
i
i i
Vol
VolVol
W
he e,
i
Vol ,
= he ading olume o company i o mon h
1, i
Vol = he ading olume o company i o p e ious mon h
In o de o examine he con empo a y change in olume- e u n ela ionships, each mon h
s ocks a e anked and g ouped in o h ee po olios as high olume (HV), middle olume and
low olume (LV) po olios based on hei olume change du ing he pas 3, 6 9 and 12 mon hs
and hei a e age e u ns a e compu ed o 3, 6 9 and 12 mon hs unde each pe iod. Nex , he
ela ionship be ween pas ading olume and u u e s ock e u ns a e examined. Each mon h
s ocks a e anked and g ouped in o h ee po olios as HV, middle olume and LV po olios
based on hei olume change du ing he pas 3, 6, 9 and 12 mon hs and hei a e age e u ns
a e compu ed o nex 3, 6, 9 and 12 mon hs unde each pe iod.
3.3 Hypo heses
I he change in ading olume ca ies in o ma ion on s ock e u ns, he e should ha e a
signi ican ela ionship be ween change in olume and s ock e u ns. A e age e u ns o HV
and a e age e u ns o LV po olios a e compa ed o de ec ela ions be ween ading olume
change and s ock e u ns. The e o e, he null hypo hesis (H0) and he al e na i e hypo hesis
(H1) a e de eloped as ollows.
H
0
:
0 LVHV RRE
H
1
:
0z
VLHV
RRE
Whe e,
HV
R
= a e age e u ns o high olume po olio
LV
R
= a e age e u ns o low olume po olio
The null hypo hesis explains ha HV po olio and LV po olio has he same expec ed e-
u ns while he al e na i e hypo hesis explains ha expec ed e u ns o HV po olio is di e -
en om ha o LV po olio.
3.4 Tes o signi icance
The signi icance o he e u ns di e ence on ading olume po olios is measu ed using he
pai ed sample – es s. The – alues a e compu ed as ollows.
nVa RnVa R
RR
LVHV
LVHV
//
joc_3-2011en_ 3.indd 44 30.9.2011 16:59:00
45
4. RESULTS
This s udy has wo objec i es. Fi s , o examine he con empo a y ela ionship be ween ad-
ing olume and s ock e u ns and he second objec i e is o examine he ela ionship be ween
pas pe iod ading olume and cu en s ock e u ns (lag olume ela ionship).
4.1 Con empo a y ading olume e ec
The able 1 shows a e age mon hly e u ns o HV, LV and high minus low olume (HmLV)
po olios o 16 es s. Each mon h s ocks a e anked and di ided in o h ee po olios based
on 3,6,9 and 12 mon h change in ading olume and unde each change in olume po olio
a e age e u ns a e compu ed o 3, 6, 9 and 12 mon hs.
Tab. 1 - Con empo a y T ading Volume E ec om 1995-2008. Sou ce: own
J=Fo ma ion Pe iod, K= Holding Pe iod
K=3 K=6 K=9 K=12
J=3
HV
LV
HmLV
1.90
0.17
2.07***
2.00
0.58
1.42***
1.80
0.87
0.93**
1.72
1.07
0.65***
J=6
HV
LV
HmLV
1.08
0.51
0.57***
2.02
0.41
1.61**
1.83
0.80
1.03***
1.72
1.03
0.69***
J=9
HV
LV
HmLV
1.26
0.77
0.49***
1.47
0.91
0.56***
1.92
0.75
1.16***
1.78
1.00
0.78***
J=12
HV
LV
HmLV
1.14
0.97
0.17***
1.42
0.97
0.45***
1.47
1.01
0.46***
1.76
0.91
0.85***
** Signi ican ly di e en om ze o a he 5% le el.
*** Signi ican ly di e en om ze o a he 1% le el.
A a i s look, he able e eals ha all he HV po olios e lec posi i e a e age e u ns and
hey ou pe o m he a e age e u ns o LV po olios. Po olios o med based on 3 mon h
ading olume change and hei 3 mon hs e u ns show highes e u ns di e ence be ween
HV and LV po olios (2.07% a =11.86). The lowes e u ns di e ence be ween high and low
olume po olios epo s when po olios o med based on 12 mon h a e age ading olume
change and held o 3 mon hs. The HV po olios ou pe o m he LV po olios o all he es
po olios epo ed in he able. The e o e, able 1 shows ha he e is a con empo a y ela ion-
ship be ween ading olume change and s ock e u ns.
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4.1 Lag ading olume e ec
Tab. 2 - Lag T ading Volume E ec om 1995-2008. Sou ce: own
J=Fo ma ion Pe iod, K= Holding Pe iod
K=3 K=6 K=9 K=12
J=3
P1
P3
P1-P3
0.74
0.77
-0.03
1.12
1.26
-0.13
1.25
1.40
-0.15
1.37
1.47
-0.10
J=6
P1
P3
P1-P3
0.63
0.92
-0.29***
1.10
1.46
-0.36***
1.28
1.55
-0.27***
1.36
1.61
-0.25***
J=9
P1
P3
P1-P3
0.64
0.88
-0.24**
1.17
1.49
-0.32***
1.32
1.64
-0.31***
1.45
1.08
0.23***
J=12
P1
P3
P1-P3
0.69
0.84
-0.15***
1.11
1.55
-0.44***
1.33
1.68
-0.35***
1.39
1.66
-0.27***
The able 3 e lec s a e age mon hly po olio e u ns when po olios a e o med based on
pas pe iod ading olume changes. Each mon h om Feb ua y 2000 o Decembe 2008,
s ocks a e anked and o m in o 3 equally weigh ed po olios based on 3, 6,9 and 12 mon h
pas change in ading olumes. Subsequen ly, a e age po olio e u ns a e compu ed o he
nex 3, 6, 9 and 12 mon hs o each po olio in he o ma ion pe iod. This makes 16 di e en
es po olios. A a glance, he able shows ha low olume po olios ou pe o m he high
olume po olios o all he po olios epo ed in he able. The a e age e u ns di e ence
is no s a is ically signi ican o he po olios wi h o ma ion pe iod 3 mon hs. The a e age
e u ns di e ences o all he o he po olios epo ed in he able gene a e s a is ically signi i-
can nega i e excess e u ns.
The ou pe o mance o LV po olio o e he HV po olio is con a y o he p e ious ind-
ings (see, Ge a s e al., 2001; Huan and Heian 2010). Fu he , he inding is no in acco dance
wi h he sequen ial a i al o in o ma ion heo y o Copeland (1976) and mix u e o dis ibu-
ion hypo hesis o Epps and Epps (1976). The ou pe o mance o HV po olio e u ns by LV
po olio e u ns can be jus i ied wi h wo easons. Fi s , he highe (lowe ) u u e e u ns o
LV(HV) s ocks can be due o in es o mispe cep ions abou u u e ea nings. Lee and Swami-
na han ound nega i e ela ionship be ween ading olume and e u ns and hey poin ed ou
ha (Lee and Swamina han, 2001):
… analys s p o ide lowe (highe ) long- e m ea nings g ow h o ecas s o low(high) olume s ocks. Howe e , low
(high) olume i ms expe ience signi ican ly be e (wo se) u u e ope a ing pe o mance. Mo eo e , we ind ha
sho -window ea nings announcemen e u ns a e signi ican ly mo e posi i e (nega i e) o low (high) olume i ms
o e each o he nex eigh qua e s.
The same pa e n is obse ed in his s udy also and as Lee and Swamina han poin ed ou ha
his can be due o in es o mispe cep ions abou u u e ea nings o low olume i ms (Lee
joc_3-2011en_ 3.indd 46 30.9.2011 16:59:00
47
and Swamina han, 2001). As a esul o ha ma ke is “su p ised” by he sys ema ically highe
(lowe ) u u e ea nings o low (high) olume i ms.
The second jus i ica ion o he nega i e ela ionship be ween ading olume and e u n is
he liquidi y o he asse s. Da a , Naik and Radcli e ind nega i e ela ionship be ween u u e
s ock e u ns and liquidi y measu ed by s ock u no e a e o all non inancial i ms on he
NYSE om July 31, 1962 h ough Decembe 31, 1991 (Da a , Naik and Radcli e, 1998). As
Da e e al. poin ou he nega i e sign be ween s ock e u n and ading olume con i ms ha
illiquid s ocks o e highe a e age e u ns han liquid s ocks (Da e e al., 1998). This ac is
ele an o CSE also because esea che s ha e ound ha mos o he s ocks a CSE do no
ade equen ly ( see, e.g., Sama akoon, 1996; Pa hi awasam and Idi isinghe, 2011).
5. CONCLUSION
This s udy examines he ading olume e ec on s ock e u ns a Colombo S ock Exchange
om 2000-2008. The s udy adds some impo an indings o he exis ing li e a u e as ading
olume e ec is p o en on ex ensi ely in de eloped ma ke s while li le e idence on de elop-
ing ma ke s.
This s udy examines he ela ionship be ween ading olume change and s ock e u n in wo
s ages. Fi s con empo a y ela ionship be ween ading olume change and s ock e u ns a e
examined and nex , he ela ionship be ween pas pe iod ading olume change and s ock
e u ns a e examined.
The s udy inds ha con empo a y ading olume change is posi i ely ela e wi h he s ock
e u ns. Howe e , he ela ion be ween pas pe iod ading olume change and cu en pe iod
s ock e u ns is nega i e. This means s ocks wi h low ading olume change ou pe o m he
s ocks wi h high ading olume change in he subsequen pe iod. The ou pe o mance o high
olume po olio e u ns by low olume po olio e u ns can be jus i ied wi h wo easons.
The highe (lowe ) pe o mance o low olume (high olume) s ocks can be due o in es o
misspeci ica ion abou u u e ea nings. O else, illiquidi y o low olume can be he eason o
ou pe o mance o low olume s ocks.
As he ading olume has p edic i e powe on s ock e u ns, in es o s can make ading
olume based s a egies o make p o i s and heo e ically his p o ides e idence o weak o m
ine iciency o he CSE.
Re e ences
Chen, G., Fi h, M. & Rui, O. M. (2001). The dynamic ela ion be ween s ock e u ns, ad-
ing olume, and ola ili y. The Financial Re iew, ol. 38, 153-174.
Cohen, K., Maie , S. F., Schwa z, R. A. & Whi comb, D. K. (1979). Ma ke Make s and he
Ma ke Sp ead: A Re iew o Recen Li e a u e. Jou nal o Financial and Quan i a i e Analysis,
ol.14, 813-835.
C ouch. R. L. (1970). A Nonlinea Tes o he Random-Walk Hypo hesis. Ame ican Economic
Re iew, 199-202.
Da a , V.T., Naik & Radcli e, R. (1998). Liquidi y and s ock e u ns: An al e na i e Tes .
Jou nal o Financial Ma ke s, ol. 1, 203-219.
1.
2.
3.
4.
joc_3-2011en_ 3.indd 47 30.9.2011 16:59:00
Jou nal o Compe i i eness | Issue 3/201148
Epps, T. W., Epps, M. L. (1976). The S ochas ic Dependence o Secu i y P ice Changes and
T ansac ion Volumes: Implica ions o he Mix u e-o -Dis ibu ions Hypo hesis. Econome -
ica, ol. 44, 305-321.
Fama, E. F. (1970). E icien Capi al Ma ke s: A Re iew o Theo y and Empi ical Wo k.
Jou nal o Finance, ol. 25, 383 – 417.
Fama, E.F. (1991). E icien Capi al Ma ke s: II. Jou nal o Finance, ol. 46, 1575 – 1617.
G ange . C. W. J. & Mo gens em, O. (1963). Spec al Analysis o New Yo k S ock Ma ke
P ices. Kyklos, ol. I6, 1-27.
Ge ais, S., Kaniel, R. & Mingelg in, D.H. (2001). “The high- olume e u n p emium”, The
Jou nal o Finance, ol. 51, 877-919.
Ha is, L. (1983). The Join Disl ihuiion o Specula i e P ices and o Daily T ading Volume.
Wo king Pape , Uni e si y o Sou he n CA .
Khan, S.U., Rizwan, F. (2008). T ading olume and s ock e u ns: e idence om Pakis an’s
s ock ma ke . In e na ional Re iew o Business Resea ch Pape s, ol. 4, 151-162.
Huang, Z. & Heian, J.B. (2001). T ading- olume shocks and s ock e u ns: An empi ical
analysis. The Jou nal o Financial Resea ch, ol. 38, 153-177.
Jegadeesh, N. & Ti man, S. (1993). Re u ns o buying winne s and selling lose s: Implica ions
o s ock ma ke e iciency. Jou nal o Finance, ol. 48, 65-91.
Ka po , J. (1987). The ela ion be ween p ice changes and ading olume: A su ey. Jou nal
o Financial and Quan i a i e Analysis, ol. 22, 109 -125.
Ko ha i, S.P., Shanken, J. & Sloan, R.G. (1995). Ano he look a he c oss-sec ion o expec ed
s ock e u ns. Jou nal o Finance, ol. 50, 185- 223.
Lee, S.B. & Rui, O. M. (2002). The dynamic ela ionship be ween s ock e u n and ading
olume: Domes ic and c oss-coun y e idence. Jou nal o Banking and Finance, ol. 26, 51-78.
Maysha , J. (1983). On di e gence o opinion and impe ec ions in capi al ma ke s. Ame ican
Economic Re iew, ol. 73, 114-128.
Mille , E.M. (1977).Risk, unce ain y, and di e gence o opinion. Jou nal o Finance, ol. 32,
1151-1168.
Osbome. M. F. M. (1959). B ownian Mo ion in he S ock Ma ke . Ope a ions Resea ch, 1 (Ma ch-
Ap il 1959), 145-173.
Pa hi awasam, C., Idi isinghe, I.M.S.K. (2011). Ma ke E iciency, Thin T ading and Non-
linea Behe io : Eme gin Ma ke E idence om S i Lanka. E+M Economics and Managemen ,
ol.8, 112-122.
Pised asalasai, A. & Gunaseka age, A. (2007). Causal and dynamic ela ionships among s ock
e u ns, e u n ola ili y and ading olume: E idence om eme ging ma ke s in Sou h-
Eas Asia. Asia-Paci ic Financial Ma ke s, ol. 14, 277-297.
Ru ledge. D. J. S. (1984) T ading Volume and P ice Va iabili y: New E idence on he P ice
E ec s o Specula ion. In Peck A. E. (ed.), Selec ed W i ings on Fu u es Ma ke s: Resea ch Di ec ions
in Commodi y Ma ke s (237-251). Chicago: Chicago Boa d o T ade.
Sama akoon, L.P. (1996). P edic abili y o Sho -ho izon Re u ns in he S i Lankan S ock
Ma ke . S i Lankan Jou nal o Managemen , ol. 1, 207-224.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
joc_3-2011en_ 3.indd 48 30.9.2011 16:59:00
49
Wes c ie d. R. (1977). The Dis ibu ion o Common S ock P ice Changes: An Applica ion
o T ansac ions Time and Subo dina ed S ochas ic Models. Jou nal o Financial and Quan i a i e
Analysis, ol. 12, 743-765.
Ying. C. C. (1966). S ock Ma ke P ices and Volumes o Sales. Ecomme ica, ol. 34, 676-686.
Con ac in o ma ion
Chand apala Pa hi awasam. B.Sc, M.Sc, MBA
Tomas Ba a Uni e si y in Zlin, Facul y o Managemen and Economics
Mos ní 5139, 760 01 Zlín, Czech Republic.
Facul y o Comme ce and Managemen S udies, Uni e si y o Kelaniya, S i Lanka
Depa men o Comme ce and Financial Managemen
E-mail: Pa [email protected]
24.
25.
JEL Classi ica ion: G12
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