A note on the seasonality of stock returns on the Johannesburg Stock Exchange
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B ad ield, D. J.
A icle
A no e on he seasonali y o s ock e u ns on he
Johannesbu g S ock Exchange
Sou h A ican Jou nal o Business Managemen
P o ided in Coope a ion wi h:
Uni e si y o S ellenbosch Business School (USB), Bell ille, Sou h A ica
Sugges ed Ci a ion: B ad ield, D. J. (1990) : A no e on he seasonali y o s ock e u ns on he
Johannesbu g S ock Exchange, Sou h A ican Jou nal o Business Managemen , ISSN 2078-5976,
A ican Online Scien i ic In o ma ion Sys ems (AOSIS), Cape Town, Vol. 21, Iss. 1/2, pp. 7-9,
h ps://doi.o g/10.4102/sajbm. 21i1.909
This Ve sion is a ailable a :
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S.A .J.Bus.Mgm .1990,21(1) 7
A no e on he seasonali y
o
s ock e u ns on he Johannesbu g S ock Exchange
D.J. B ad ield
Depa men
o
Ma hema ical S a is ics, Uni e si y
o
Cape Town, Rondebosch, 7700 Republic
o
Sou h A ica
E idence om s udies on he majo s ock exchanges wo ld-wide sugges s ha s ocks lis ed on hese ma ke s
ea n abno mally high e u ns
in
he mon h
o
Janua y. In his a icle he seasonali y
o
s ocks on he
J?h~~nesbu g S ock Exchange
is
empi ically in es iga ed. Su p isingly no Janua y e ec s a e ound, howe e , a
s1gm 1can
Decembe seasonal e ec
is
documen ed. A plausible explana ion o his inding
is
o e ed.
Ge uienis ui s udies
op
e ek ebeu se dwa soo die we eld dui aan da aandele abno male e diens es
gedu ende Janua ie c dien.
In
hie die a ikel wo d die moon likheid an 'n soo gelyke e skynsel
op
die
Johannesbu gse E ek e Beu s empi ics onde soek. Ve basend wo d geen Janua ie-e ek ge ind nie, maa wel
'n be ekenis olle Descmbe -e ek. Moon like e duidelikings i hie die be inding wo d oo ges el.
In oduc ion
P ac i ione s wo ld-wide ha e ecognized he impo an
ole played by Capi al Ma ke Theo y
in
he ield
o
mode n inance. Decision make s
in
his ield ha e
undoub edly ollowed he empi ical indings ela ing o
Capi al Ma ke Theo y wi h keen in e es . The as
quan i y
o
ecen li e a u e dealing wi h
misspeci ica ions o he Capi al Asse P icing Model
(CAPM)
is
e idence
o
he demand
by
p ac i ione s o
esea ch
in
his a ea.
O
he ecen indings, one
in
pa icula has cap u ed he in e es
o
he in e na ional
in es men communi y, namely, he o e whelming
e idence o a Janua y seasonal e ec mani es ed
in
he
es ima e
o
he CAPM-based isk p emium. This
phenomenon has come o be known
as
he Janua y e ec
and has been documen ed on mos
o
he majo s ock
ma ke s wo ld-wide. In his a icle he seasonali y
o
s ocks on he Johannesbu g S ock Exchange (JSE)
is
in es iga ed and compa ed o he exis ing in e na ional
e idence.
Roze & Kinney (1976), Keim (1983), and Roll
(1983) we e among he i s esea che s o iden i y ha
he New Yo k S ock Exchange (NYSE) s ock ma ke
e u ns a e, on a e age, highe in Janua y han any o he
mon h o he yea . A en ion subsequen ly shi ed o
in es iga ing his e ec on o he s ock exchanges
as
well.
A summa y o esul s om in e na ional s ock ma ke s
was p esen ed
by
Co hay, Hawawini & Michel (1987). In
pa icula hey examined da a om he New Yo k
(NYSE), he London (LSE), he Pa is (PSE), and he
B ussels (BSE) s ock exchanges. They ound seasonali y
in e u n exis ed
in
all
o
hese exchanges
in
Janua y. In
addi ion, signi ican seasonali y was ound
in
o he
mon hs as well. Fo example he LSE exhibi ed
addi ional seasonali y in Ap il, he PSE in July, and he
BSE in Feb ua y, Ap il, June, July and Oc obe .
A emp s o explain his Janua y e ec ha e been,
a
mos , pa ially success ul. The mos popula hypo hesis
a ibu es he e ec o yea -end ax-loss selling. This
hypo hesis assumes ha sha es whose p ices dec eased
du ing he yea would be subjec o selling p essu e
owa ds he end
o
he yea . Consequen ly, p ices a e
dep essed p io o he end o he yea and ebound a he
beginning
o
Janua y.
Keim
(1986) e iewed e idence in
he li e a u e which a emp s o explain he Janua y
e ec and sugges ed ha liquidi y
o
pay oll e ec s may
in luence mon hly e u ns.
Tes ing me hodology
Some eseache s conce ned wi h in es iga ing
seasonali y
in
s ock e u ns ha e conside ed his concep
in
conjunc ion wi h he size e ec . Howe e , B ad ield
(1988, 1989) ound no e idence
o
a size e ec on he
JSE (using bo h uni a ia e and mul i a ia e es ing
p ocedu es). Hence,
in
his in es iga ion he hypo hesis
o seasonali y
in
JSE s ock e u ns
will
be in es iga ed
sepa a ely.
The es ing p ocedu e ou lined below aims a
in es iga ing whe he seasonali y exis s in equally
weigh ed indices cons uc ed o his pu pose. The
a ionale behind his app oach
is
ha e u ns o s ock
ma ke indices (minus he isk- ee a e) a e usually used
as su oga es o he excess ma ke e u n (i.e. he isk
p emium)
in
he CAPM. Owing o he unique na u e
o
he JSE, se e al indices we e conside ed, namely an
equally weigh ed mining sha e index, an indus ial sha e
index, and an all-sha e index. These indices we e
cons uc ed om he eco d
o
ading s a is ics o e he
pe iod Janua y 1974-Decembe 1984. All sha es ha
had eliable eco ds o e his pe iod we e included in he
espec i e indices. This amoun ed o
112
mining sha es,
357 indus ial sha es, and
469
sha es in o al in he
espec i e indices.
Weekly e u ns o each
o
he abo e-men ioned
indices we e compu ed, and subsequen ly pa i ioned
and a e aged wi hin each o he ele an mon hs
o
he
yea . This amoun ed o
11
da a poin s (i.e.
11
yea s)
associa ed wi h each o he
12
mon hs o each
o
he
h ee indices. This p ocedu e
is
simila o he p ocedu e
ou lined by Co hay, Hawawini & Michel (1987).
The JSE as a whole
The esul s 1 o he equally weigh ed all-sha e index
cons uc ed om he 469 JSE s ocks a e shown in Table
1.
Resul s om a ious
o he
s ock exchanges conduc ed
o e he 1970-1983 pe iod (quo ed in Co hay,
Hawawini & Michel, 1987) a e also included in Table 1 .
o compa a i e pu poses.
8
Table 1
Seasonal
esul s
Numbe
o
lis ed NYSE LSE PSE BSE
JSE
i ms
1490
2170 504
197
671
Sample size
782
527
112
170
469
Janua y 5,08" 5,49" 4,10" 3,99" 2,45
(2,10) (2,04) (2,40) (4,08) (1,09)
Feb ua y 0,78 2,21 0,41
1,86"
2,12
(0,74) (1,58) (0,36) (2,72) (1,52)
Ma ch
1,51
0,73 1,59 0,37 0,41
(0,94) (0,42) (0,75) (0,49) (0,22)
Ap il 0,57 4,19"
1,
17
1,93" 0,78
(0,36) (3,31)
(I,
19) (2,71) (0,76)
May
-0,70 -0,48 -0,69 -0,08 2,19
(-0,50) (-0,41) (-0,45) (-0,13) ( 1,41)
June
0,70 -1,39 -1,56 1,06" 0,68
(0,59) (-0,96) (-1,11) (2,06) (0,32)
July 0,92 1,22 3,92" 1,76" 2,89"
(0,67) (1,
18)
(2,76) (2,98) (2,02)
Augus 1,06 1,13 1,96 0,28 2,57
(0,66) (0,83) ( 1,52) (0,36) (1,21)
Sep embe 0,31 -1,04 -0,40 -0,94 1,39
(0,23) (-0,52) (-0,21) (-1,17) (0,67)
Oc obe -0,91 -0,07 -1,76 -1,48" 1,25
(-0,42) (-0,06) (-1,24) (-2,48) (1,34)
No embe 2,25 -0,06 -0,27 -0,70 -0,36
(1,22) (-0,03) (-0,22) (-0,98) (-0,26)
Decembe 1,48 1,62 0,37 1,58" 2,78"
( 1,31) (1,06) (0,41)
(1
,58) (2,96)
s a is ics a e in pa en hesis. They a e compu ed as
(R)
=
R>,ln
I
Vu(R)
whe e n = numbe
o
yea s
• signi ican a he 5% le el o a one-sided al e na i e ·
The
esul o
JSE
s ocks in Table 1
is
indeed
su p ising.
I
shows ha an insigni ican Janua y e ec
exis s o
JSE
s ocks in he ace
o
o e whelming
e idence
o
a Janua y e ec in in e na ional ma ke s. A
signi ican July and
Decembe
seasonal e ec is,
howe e , e iden o
JSE
s ocks.
Se e al hypo hesis ba e been o e ed o he Janua y
e ec on he NYSE, and i
is
hus also concei able
ha
he signi ican Janua y seasonals in he
o he
in e na ional s ock ma ke s could
be
explained by
simila hypo heses. Fu he mo e, he July seasonal
on
he PSE
is
likely o be caused by di idend paymen s
(acco~ding o Hamon, 1986). App oxima ely wo- hi ds
o
all di idend paymen s in F ance a e paid in July.
The
high incidence
o
signi ican mon hly seasonals
on
he
BSE,
is
howe e , di icul
o
explain. A plausible cause
o
his may be ela ed o he ela i e size
o
he s ock
ma ke s. Rela i e o he wo ld ma ke capi aliza ion2 he
BSE comp ises 0,32% in con as o 40, 6, and 1 % o
he NYSE, LSE, and PSE, espec i ely. Fu he mo e,
subs an ially ewe sha es a e
quo ed
on
he
BSE,
namely
197
compa ed o 1490, 2171, and 504 on he
NYSE, LSE, and PSE, espec i ely. Issues like hin and
lacklus e ading
on
smalle ma ke s may he e o e
ha e an in luence
on
he a iabili y
o
he ou come
o
S.-A .Tydsk .Bed y sl.1990,21(1)
es s
on
hese ma ke s. Explana ions o he seasonal
e ec s
on
he
JSE
shown in Table 1 will
be
o e ed
in
he
inal sec ion
o
his a icle.
The
mining
and
indus ial
sec o s
on
he
JSE
The
esul s o he equally weigh ed mining
and
indus ial indices a e shown in Table 2. Resul s o
he
all-sha e index a e included o compa a i e pu poses.
F om Table 2 i can be seen
ha
he Decembe
seasonal e ec
is
signi ican o all h ee
da a
se s,
and
ha
he seasonal e ec o July
is
signi ican a he
2,5%
le el o he mining index, whe eas
ha
o Oc obe
is
signi ican
a
he
5%
le el o he indus ial index.
S ic ly speaking he es should ha e a wo-sided
al e na i e hypo hesis o inco po a e signi ican ly poo
mon hs in he al e na i e hypo hesis. This change
would
mean
ha
he abo e signi icance le els a e e ec i ely
doubled4• Thus, he only
o he
signi ican mon h a he
5%
le el besides
Decembe ,
occu s o mining s ocks
du ing July.
Explana ions
Since di idends we e no included in his s udy, he
s a is ical signi icance
is
unlikely o
be
caused
by
di idends.
Fu he mo e,
di idend announcemen s a e
usually made in Feb ua y
o
Ma ch o mid-yea
di idends and Augus
o
Sep embe
o end-o - he-yea
di idends.
Hence,
he seasonal e ec
is
unlikely o
be
caused by issues ela ing o announcemen s.
I
is
possible
ha
he July e ec e iden o mining s ocks
is
a
consequence
o
he pa icula sample pe iod. Howe e ,
he signi ican
Decembe
e ec occu ing in all h ee
indices
is
unlikely o
be
explained away as easily.
I
is
well known
ha
hin and lacklus e ading on he
JSE
is
cha ac e is ic
o
Decembe ,
which
is
adi ionally
he holiday season in Sou h A ica, and ha his impac s
on
he ola ili y
o
s ocks
o e
his mon h. In pa icula ,
hin ading gi es ise o non-synch onous p ices being
eco ded, causing he a iance
o
hese e u ns o
be
unde es ima ed
o e
hese pe iods.
Fo
example, i a
pa icula sha e has no been
aded
o se e al weeks,
i s p ice will be eco ded daily
a
he las ansac ion ·
p ice, whe eas he
' ue'
p ice a ies acco ding o he
economic in luences. Hence, he
' eco ded'
e u n se ies
will ha e subs an ially less a iabili y han he ' ue'
se ies. Al hough his a gumen can easily explain
why
he a iance
o
daily
o
weekly e u ns in Decembe ,
ela i e o
o he
mon hs,
is
unde es ima ed, i does no
ully explain why he se ies
o
mon hly e u ns o each
Decembe
o e
he sampled pe iod exhibi ela i ely
less
ola ili y. Howe e , he ac ha la ge-scale selling o
buying p essu e o e he
Decembe
holiday pe iod
is
unlikely may imply less a iabili y in mon hly Decembe
e u ns. F om Table 2 i
is
seen
ha
o he indus ial
index,
Decembe
mon h had he smalles s anda d
de ia ion.
Fo
he all-sha e index he second smalles
s anda d de ia ion occu ed in
Decembe ,
and o he
mining index he
Decembe
s anda d de ia ion
was
smalle han mos
o he
mon hs, al hough no he
smalles . In conclusion, i could be a gued ha he
S.A .J.Bus.Mgm .1990,21(1)
Table 2 Mon hly e u ns o all-sha e, mining, and indus ial indices
Equally weigh ed
indices
All-sha e
Mon hs
.R%
(.R)
u(R)%
.R%
Janua y 2,45 1,09 7,45 1,36
Feb ua y 2,12 1,52 4,64 2,34
Ma ch
0,41 0,22 6,22 0,65
Ap il 0,78 0,76 3,43 0,52
May
2,19
1,41
5,13 1,86
June 0,68 0,32 7,03 0,70
July
2,89 •2,02 4,74 5,99
Augus 2,57
1,21
6,88 2,59
Sep embe 1,39 0,67 6,85 3,99
Oc obe 1,25 1,34 3,10 -0,70
No embe -0,36
--0,26
4,66 -1,
15
Decembe 2,78 2,96 3,11 4,56
• signi ican
a
he
5%
le el
o
a one-sided al e na i e
h signi ican a he 2,5%
le el
o
a one-sided al e na i e
signi ican seasonal e ec
in
Decembe
is
mo e likely o
be a esul
o
ela i ely less ola ili y han subs an ial
e u n
in
Decembe .
No es
1.
The
a e age weekly e u ns in each mon h we e con e ed
o mon hly e u ns o ease
o
compa ison wi h
he
in e na ional e idence.
2.
Sou ce: Co hay, Hawawini & Michel (1987).
3.
Ba
& B ad ield (1988) o e a de ailed explana ion o
why
he
a iance
o
hinly aded s ocks a e usually
unde es ima ed.
4.
The
one-sided al e na i e alues
a e
used
o
be consis en
wi h
he
Co hay e
al.
e idence.
Re e ences
Ba ,
G.D.I.
& B ad ield,
D.J.
(1988). Po olio selec ion in
hinly
aded
en i onmen s - a case s udy.
Manage.
Decision Econ., ol. 9, 287-290.
B ad ield,
D.J.,
A leck-G a es,
J.F.
& Ba ,
G.D.I.
(1988). Asse p icing in small ma ke s -
The
Sou h
A ican case.
S.
A .
J.
Bus. Mgm ., ol. 19, 11-21.
Mining
Indus ial
(.R)
u(R)%
.R%
(.R)
u(R)%
0,38 12,00 2,83 1,44 6,54
0,88 8,84 2,10 1,67 4,16
0,24 9,26 0,39 0,23 5,72
0,28 6,09 0,87 0,90 3,20
0,91 6,74 2,28 1,55 4,90
0,22 10,40
0,71
0,38 6,23
>z,84
7,00 1,88 1,22
5,ll
0,66 13,02 2,47 1,43 5,72
0,99 13,38 0,52
0,31
5,64
--0,35
6,62
l,n
01,87 3,15
-0,56 6,84
--0,23
-0,16 4,80
>z,28
7,23 2,01
>z,42
2,77
B ad ield,
D.J.
(1989). Applica ions and ex ensions
o
inancial models
o
small ma ke s:
The
Sou h A ican
case. Unpublished
Ph.D.
hesis, Uni e si y
o
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Town.
Co hay,
A.,
Hawawini,
G.
& Michel, P. (1987). Seasonali y
in
he
isk- e u n ela ionship. Some empi ical e idence.
J.
Fin., ol. 42, 49-68.
Hamon,
J. (1986).
The
easonal cha ac e
o
mon hly
e u ns on
he
Pa is Bou se (in F ench). Finance, ol. 7,
57-74.
Keim,
D.B.
(1983). Size- ela ed anomalies
and
s ock
e u n
seasonali y:
Fu he
empi ical e idence.
J.
Fin.
Econ.,
12, 13-32.
Keim,
D.B.
(1986).
The
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and equi y
e u n
egula i ies.
Fin.
Anal. J., ol. 42, 19-34.
Roll,
R.
(1983). Was is das?
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u n
o
he
yea
e ec
and
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9