Study Session 10 Equity Valuation: Valuation Concepts
Study Session 10Equity Valuation: Valuation Concepts
CFA_L2V2_Class_Lecture_Notes.indb 1 11/29/2012 4:36:29 PM
2St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Qua
ntita
tive
Met
hods
Stud
ySe
ssio
n10
Stud
ySe
ssio
n10
Valu
atio
n C
once
pts
30.E
quity
Val
uatio
n: A
pplic
atio
ns a
nd
Pro
cess
es
Valu
atio
n C
once
pts
31.R
etur
n C
once
pts
Qua
ntita
tive
Met
hods
Vl
tiC
t30
. Equ
ity V
alua
tion:
A
pplic
atio
ns a
nd P
roce
sses
Valu
atio
nC
once
pts
Valu
atio
n C
once
pts
pp
Mic
roec
onom
ic A
naly
sis
Equi
ty V
alua
tion
Intr
insi
c Va
lue
(IV):
True
und
erly
ing
valu
e of
th
ese
curit
ygi
ven
com
plet
eun
ders
tand
ing
Equi
ty V
alua
tion
LOS
30.a
Def
ine/
Expl
ain
CFA
I V4
p. 6
, Sch
wes
er B
3 p.
9
the
secu
rity
give
n co
mpl
ete
unde
rsta
ndin
gEs
timat
ed V
alue
(VE)
: Inv
esto
r est
imat
e of
in
trins
ic v
alue
Mar
ket P
rice
(P):
Cur
rent
pric
e
Two
Sour
ces
ofPe
rcei
ved
Mis
pric
ing:
© K
apla
n, In
c.
Two
Sour
ces
ofPe
rcei
ved
Mis
pric
ing:
VE
–P
= (IV
–P)
+ (V
E –
IV)
2
Mic
roec
onom
ic A
naly
sis
Oth
er V
alue
Con
cept
s�
Goi
ng C
once
rn V
alue
: Typ
ical
ly th
e re
leva
nt
intri
nsic
valu
efo
rpub
licly
trade
dco
mpa
nies
;
Equi
ty V
alua
tion
LOS
30.b
Exp
lain
/Con
tras
tC
FAI V
4 p.
7, S
chw
eser
B3
p. 1
0
intri
nsic
val
ue fo
r pub
licly
trad
ed c
ompa
nies
; as
sum
es a
sset
s re
mai
n in
pla
ce a
nd c
ontin
ue
to p
rodu
ce c
ash
flow
into
the
futu
re v
ia
cont
inui
ng o
pera
tions
�Li
quid
atio
n Va
lue:
The
val
ue if
the
firm
ce
ases
toop
erat
eal
lass
ets
are
sold
and
© K
apla
n, In
c.ceas
es to
ope
rate
, all
asse
ts a
re s
old,
and
th
e fir
m is
dis
solv
ed�
Ord
erly
Liq
uida
tion
Valu
e:A
ssum
es
adeq
uate
tim
e to
real
ize
liqui
datio
n va
lue
3
CFA_L2V2_Class_Lecture_Notes.indb 2 11/29/2012 4:36:30 PM
3St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Oth
er V
alue
Con
cept
s�
Fair
Mar
ket V
alue
: Pric
e at
whi
ch a
n ar
m’s
le
ngth
trans
actio
nbe
twee
na
willi
ngan
d
Equi
ty V
alua
tion
LOS
30.c
Des
crib
e/Ju
stify
CFA
I V4
p. 8
, Sch
wes
er B
3 p.
10
leng
th tr
ansa
ctio
n be
twee
n a
willi
ng a
nd
info
rmed
buy
er a
nd w
illing
and
info
rmed
se
ller.
Usu
ally
, mar
ket p
rice
is e
qual
to fa
ir m
arke
t val
ue.
�In
vest
men
t Val
ue: V
alue
to a
spe
cific
buy
er
incl
udin
gth
eva
lue
ofpe
rcei
ved
syne
rgie
s
© K
apla
n, In
c.incl
udin
g th
e va
lue
of p
erce
ived
syn
ergi
es.
Use
ful f
or v
alua
tion
in a
cqui
sitio
ns.
4
Mic
roec
onom
ic A
naly
sis
Use
s of
Equ
ity V
alua
tion
1. S
tock
sel
ectio
n—ou
r foc
us2
Infe
rrin
gin
puts
from
the
mar
ketv
shi
stor
y
Equi
ty V
alua
tion
LOS
30.d
Des
crib
eC
FAI V
4 p.
9, S
chw
eser
B3
p. 1
0
2. I
nfer
ring
inpu
ts fr
om th
e m
arke
t vs.
his
tory
3. P
roje
ctin
g w
orth
of c
ompa
ny a
ctio
ns4.
Fai
rnes
s op
inio
ns fo
r mer
gers
5. P
lann
ing
and
cons
ultin
g—m
axim
um s
/h
valu
e6
Com
mun
icat
ion
with
inve
stor
s
© K
apla
n, In
c.
6. C
omm
unic
atio
n w
ith in
vest
ors
7. V
alui
ng p
rivat
e bu
sine
ss8.
Por
tfolio
man
agem
ent
5
Mic
roec
onom
ic A
naly
sis
Port
er’s
Ele
men
ts o
f Ind
ustr
y A
naly
sis
1.In
tra-in
dust
ry ri
valry
Equi
ty V
alua
tion
LOS
30.e
Des
crib
eC
FAI V
4 p.
12,
Sch
wes
er B
3 p.
12
2.N
ew e
ntra
nts
3.S
ubst
itute
s
S
© K
apla
n, In
c.
4.S
uppl
ier p
ower
5.B
uyer
pow
er
6
Mic
roec
onom
ic A
naly
sis
Port
er’s
Ele
men
ts o
f Com
petit
ive
Stra
tegy
1.C
ost l
eade
rshi
p –
low
est c
ost p
rodu
cer
Equi
ty V
alua
tion
LOS
30.e
Des
crib
eC
FAI V
4 p.
12,
Sch
wes
er B
3 p.
12
pp
2.D
iffer
entia
tion
–un
ique
pro
duct
s or
se
rvic
es
3Fo
cus
–ta
rget
segm
ent(s
)ofi
ndus
try
© K
apla
n, In
c.
3.Fo
cus
–ta
rget
seg
men
t(s) o
f ind
ustry
us
ing
eith
er o
f the
abo
ve s
trate
gies
7
CFA_L2V2_Class_Lecture_Notes.indb 3 11/29/2012 4:36:30 PM
4St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Eval
uatin
g th
e Q
ualit
y of
Fin
anci
al
St
atem
ent I
nfor
mat
ion
is Im
port
ant
Rev
enue
Rec
ogni
tion
and
Gai
ns
Equi
ty V
alua
tion
LOS
30.e
Des
crib
eC
FAI V
4 p.
12,
Sch
wes
er B
3 p.
12
g�
Ear
ly re
venu
e re
cogn
ition
�M
iscl
assi
ficat
ion
of n
on-o
pera
ting
inco
me
Expe
nses
and
Los
ses
�To
o lit
tle o
r too
muc
h re
serv
es
© K
apla
n, In
c.
�In
appr
opria
te c
apita
lizat
ion
of e
xpen
ses
Off-
Bal
ance
-She
et F
inan
cing
–un
ders
tate
liab
ilitie
s
Ope
ratin
g C
ash
Flow
–m
ay b
ear
tific
ially
infla
ted
8
Mic
roec
onom
ic A
naly
sis
Abs
olut
e vs
. Rel
ativ
e Va
luat
ion
Abs
olut
eva
luat
ion
mod
els:
Iti
il
bd
fd
tlEq
uity
Val
uatio
nLO
S 30
.f C
ontr
ast/D
escr
ibe
CFA
I V4
p. 2
2, S
chw
eser
B3
p. 1
3
�In
trins
ic v
alue
base
d on
fund
amen
tal
char
acte
ristic
s—E
PS
, ass
et tu
rns
and
leve
rage
, ret
urn
on e
quity
, gro
wth
(g)
�(e
.g.,
DD
M, f
ree
cash
flow
, res
idua
l inc
ome)
Rel
ativ
eva
luat
ion
mod
els:
© K
apla
n, In
c.
�V
alue
der
ived
from
rela
tive
com
paris
on to
si
mila
r ass
ets,
bas
ed o
n la
w o
f one
pric
e�
P/E
, P/B
, P/C
F, P
/S m
odel
s
9
Mic
roec
onom
ic A
naly
sis
Sum
-of-t
he-P
arts
Val
uatio
n�
Sum
-of-t
he-p
arts
: Val
ue e
ach
divi
sion
se
para
tely
and
add
the
com
pone
ntva
lues
to
Equi
ty V
alua
tion
LOS
30.g
Des
crib
e/Ex
plai
nC
FAI V
4 p.
25,
Sch
wes
er B
3 p.
14
sepa
rate
ly a
nd a
dd th
e co
mpo
nent
val
ues
to
obta
in w
hole
com
pany
val
ue.
�C
ongl
omer
ate
Dis
coun
t (C
D):
Sum
-of-t
he-
parts
val
ue –
mar
ket p
rice.
�R
easo
ns fo
r C.D
.:In
tern
al c
a pita
l
© K
apla
n, In
c.
pin
effic
ienc
y, e
ndog
enou
s fa
ctor
s, a
nd
rese
arch
mea
sure
men
t err
ors.
10
Mic
roec
onom
ic A
naly
sis
App
ropr
iate
Val
uatio
n A
ppro
ach
Con
sist
ent w
ith c
hara
cter
istic
s of
com
pany
Ud
td
thd
hit
t
Equi
ty V
alua
tion
LOS
30.h
Exp
lain
CFA
I V4
p. 2
7, S
chw
eser
B3
p. 1
5
�U
nder
stan
d th
e co
mpa
ny a
nd h
ow it
s as
sets
cr
eate
val
ueB
ased
on
qual
ity a
nd a
vaila
bilit
y of
dat
a�
DD
M p
robl
emat
ic w
hen
no d
ivid
ends
�P
/E p
robl
emat
ic w
ith h
ighl
y vo
latil
e ea
rnin
gs
© K
apla
n, In
c.
pg
yg
Con
sist
ent w
ith p
urpo
se o
f ana
lysi
s�
Free
cas
h flo
w v
s. d
ivid
ends
for c
ontro
lling
inte
rest
11
CFA_L2V2_Class_Lecture_Notes.indb 4 11/29/2012 4:36:31 PM
5St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Wra
p U
p: E
quity
Val
uatio
n Pr
oces
s�
Mod
el s
uita
bilit
y
Equi
ty V
alua
tion
�Q
ualit
y of
the
inpu
ts—
finan
cial
sta
tem
ent
anal
ysis
, foo
tnot
es�
Abso
lute
ver
sus
rela
tive
valu
atio
n
© K
apla
n, In
c.12
Qua
ntita
tive
Met
hods
Valu
atio
n C
once
pts
31R
etur
nC
once
pts
Valu
atio
n C
once
pts
31.R
etur
nC
once
pts
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Seve
n R
etur
n C
once
pts
1.H
oldi
ng P
erio
d R
etur
n (H
PR)—
capi
tal g
ains
pl
usan
yca
shflo
wst
ated
asa
perc
enta
geof
LOS
31.a
Dis
tingu
ish
CFA
I V4
p. 4
5, S
chw
eser
B3
p. 2
1
plus
any
cas
h flo
w s
tate
d as
a p
erce
ntag
e of
th
e in
itial
inve
stm
ent:
�H
PR
= (P
1–
P 0+
CF 1
) / P
0
�H
PR
= P
rice
appr
ecia
tion
+ di
vide
nd y
ield
�Yo
u se
e th
is e
quat
ion
ever
ywhe
re in
C
FAl
d
© K
apla
n, In
c.14
CFA
land
2.R
ealiz
ed R
etur
n—hi
stor
ical
retu
rn b
ased
on
obse
rved
pric
es a
nd c
ash
flow
s
�C
an b
e ca
lcul
ated
as
an H
PR
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Seve
n R
etur
n C
once
pts
3.Ex
pect
ed R
etur
n—re
turn
bas
ed o
n fo
reca
sts
ofa
futu
repr
ice
and
cash
flow
s
LOS
31.a
Dis
tingu
ish
CFA
I V4
p. 4
5, S
chw
eser
B3
p. 2
1
fore
cast
s of
a fu
ture
pric
e an
d ca
sh fl
ows
�Th
ink:
fore
cast
retu
rn4.
Req
uire
d R
etur
n—th
e m
inim
um re
turn
an
inve
stor
requ
ires
give
n th
e as
set’s
risk
�Fr
eque
ntly
cal
cula
ted
with
the
CA
PM
© K
apla
n, In
c.15
5.R
etur
n fr
om C
onve
rgen
ce—
retu
rn
expe
cted
/real
ized
as
mar
ket p
rice
conv
erge
s to
intri
nsic
val
ue
CFA_L2V2_Class_Lecture_Notes.indb 5 11/29/2012 4:36:31 PM
6St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
6.D
isco
unt R
ate—
rate
use
d to
det
erm
ine
the
pres
entv
alue
ofan
inve
stm
ent
Seve
n R
etur
n C
once
pts
LOS
31.a
Dis
tingu
ish
CFA
I V4
p. 4
5, S
chw
eser
B3
p. 2
1
pres
ent v
alue
of a
n in
vest
men
t7.
Inte
rnal
Rat
e of
Ret
urn
(IRR
)—th
e ra
te th
at
equa
tes
the
disc
ount
ed c
ash
flow
s to
the
curr
ent m
arke
t det
erm
ined
pric
e�
Aga
in, y
ou s
ee th
is c
alcu
latio
n fr
eque
ntly
inC
FAla
nd(c
apita
lbud
getin
g
© K
apla
n, In
c.16
freq
uent
lyin
CFA
land
(cap
ital b
udge
ting,
Y
TM, c
ash
flow
yie
ld, e
tc.)
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Equi
ty R
isk
Prem
ium
(ER
P)�
Equi
ty R
isk
Prem
ium
—ad
ditio
nal r
etur
n ab
ove
the
risk-
free
rate
inve
stor
sre
quire
for
LOS
31.b
Cal
cula
te/In
terp
ret
CFA
I V4
p. 5
0, S
chw
eser
B3
p. 2
3
abov
e th
e ris
k-fre
e ra
te in
vest
ors
requ
ire fo
r ho
ldin
g (ri
sky)
equ
ity s
ecur
ities
�Th
ink:
Req
uire
d re
turn
–R
FR�
The
risk-
free
rate
sho
uld
be e
qual
to th
e in
vest
or’s
inve
stm
enth
oriz
onT
Bill
fh
thi
© K
apla
n, In
c.17
�T-
Bills
for s
hort
horiz
ons
�T-
Bon
ds fo
r lon
ger h
oldi
ng p
erio
ds
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�R
equi
red
Ret
urn
for a
Sto
ck�
The
ERP
can
beus
edto
dete
rmin
eth
e
Equi
ty R
isk
Prem
ium
(ER
P)
LOS
31.b
Cal
cula
te/In
terp
ret
CFA
I V4
p. 5
0, S
chw
eser
B3
p. 2
3
�Th
e ER
P ca
n be
use
d to
det
erm
ine
the
requ
ired
retu
rn fo
r an
indi
vidu
al s
ecur
ity
give
n its
leve
l of s
yste
mat
ic ri
skAv
erag
e eq
uity
ris
k pr
emiu
mR
isk-
free
rate
© K
apla
n, In
c.18
��
if
Mf
RR
RR
��
��
Bet
a (s
yste
mat
ic ri
sk)
-3
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Stre
ngth
s an
d W
eakn
esse
s of
A
ppro
ache
s to
Est
imat
ing
the
ERP
1.H
isto
rical
ERP—
hist
oric
alm
ean
diffe
renc
e
LOS
31.b
Cal
cula
te/In
terp
ret
CFA
I V4
p. 5
0, S
chw
eser
B3
p. 2
3
1.H
isto
rical
ERP
hist
oric
al m
ean
diffe
renc
e be
twee
n br
oad
mar
ket e
quity
inde
x an
d T-
bill
�
Stre
ngth
—ob
ject
ive
and
sim
ple
�W
eakn
esse
s:�
Ass
umes
sta
tiona
ryof
mea
n an
d va
rianc
e of
re
turn
sov
ertim
e
© K
apla
n, In
c.19
retu
rns
over
tim
e �
Upw
ardl
y bi
ased
due
to s
urvi
vors
hip
bias
�
Whi
ch ri
sk-fr
ee ra
teto
use
?
CFA_L2V2_Class_Lecture_Notes.indb 6 11/29/2012 4:36:32 PM
7St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Stre
ngth
s an
d W
eakn
esse
s of
Es
timat
ing
the
ERP
2Fo
rwar
d-Lo
okin
gER
P—ut
ilizes
curre
nt
LOS
31.b
Cal
cula
te/In
terp
ret
CFA
I V4
p. 5
0, S
chw
eser
B3
p. 2
3
2.Fo
rwar
dLo
okin
gER
Put
ilizes
cur
rent
m
arke
t con
ditio
ns a
nd e
xpec
tatio
ns c
once
rnin
g ec
onom
ic a
nd fi
nanc
ial v
aria
bles
�St
reng
th—
does
not
requ
ire s
tatio
nary
�W
eakn
esse
s:�
Req
uire
sfre
quen
tupd
ates
© K
apla
n, In
c.20
�R
equi
res
frequ
ent u
pdat
es�
Mak
es lo
ts o
f ass
umpt
ions
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Forw
ard-
Look
ing
ERP
1.G
ordo
n G
row
th M
odel
LOS
31.b
Cal
cula
te/In
terp
ret
CFA
I V4
p. 5
0, S
chw
eser
B3
p. 2
3
E(R
) = D
1 / P
0+
g =
Y +
gE
RP
= E
(R) –
Rf=
Y +
g –
Rf
2.M
acro
econ
omic
Mod
el—
use
mac
roec
onom
ic
and
finan
cial
var
iabl
es s
uch
as in
flatio
n, e
arni
ngs
grow
th, a
nd s
o fo
rth
© K
apla
n, In
c.21
�St
reng
th—
robu
st re
sults
�W
eakn
ess—
used
onl
y w
ith d
evel
oped
cou
ntrie
s
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Forw
ard-
Look
ing
ERP
Exam
ple:
Ibbo
tson
-Che
n (M
acro
-eco
nom
ic m
odel
)
LOS
31.b
Cal
cula
te/In
terp
ret
CFA
I V4
p. 5
0, S
chw
eser
B3
p. 2
3
ER
P =
Y +
[(1
+ E
(I))(1
+ g
R)(
1 +
PE
G) –
1] –
Rf
Whe
re:
Y =
divi
dend
yie
ldE
(I) =
Exp
ecte
d in
flatio
nP
EG
= P
E g
row
th d
ue to
mar
ket c
orre
ctio
ng R
= R
eal g
row
th ra
te
© K
apla
n, In
c.22
3.
Surv
ey—
cons
ensu
s of
exp
erts
�S
treng
th –
easy
to o
btai
n�
Wea
knes
s –
wid
e di
spar
itybe
twee
n op
inio
ns
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�C
apita
lAss
etPr
icin
gM
odel
(CA
PM)
CA
PM:S
ingl
e Fa
ctor
Req
uire
d R
etur
n on
Equ
ity M
odel
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
Cap
italA
sset
Pric
ing
Mod
el(C
APM
)
��
if
Mf
RR
RR
��
��
Expe
cted
equi
ty
risk
prem
ium
Ris
k-fre
e ra
teSi
ngle
Fa
ctor
M
odel
© K
apla
n, In
c.23
Bet
a (s
yste
mat
ic ri
sk)
Exam
ple:
Rf =
4%
, ER
P =
3.9%
, �=
0.8,
then
: R
eq. r
etur
n =
4 +
0.8(
3.9)
= 7
.12%
-4
CFA_L2V2_Class_Lecture_Notes.indb 7 11/29/2012 4:36:33 PM
8St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�M
ultif
acto
r Mod
els:
Use
mul
tiple
fact
ors
to e
xpla
in
Mul
tifac
tor M
odel
sof
Req
uire
d R
etur
n
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
pp
retu
rns
�R
equi
red
retu
rn =
Rf +
RP 1
+ R
P 2+
… +
RP n
�W
here
RP
=R
isk
prem
ium
= (s
ensi
tivity
) ×(fa
ctor
)
�Fa
ctor
sens
itivi
ty—
asse
t’sse
nsiti
vity
toa
fact
or
© K
apla
n, In
c.24
Fact
or s
ensi
tivity
asse
ts s
ensi
tivity
to a
fact
or�
Thin
k: B
eta
(the
one
sens
itivi
ty in
the
CA
PM
)
�Fa
ctor
risk
pre
miu
m—
retu
rn d
river
�Th
ink:
ER
P (t
he s
ingl
e fa
ctor
in th
e C
AP
M)
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�Tw
o ty
pes
of m
odel
s
Mul
tifac
tor M
odel
sof
Req
uire
d R
etur
n
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
�A
rbitr
age
mod
els
�Fa
ma-
Fren
ch�
Pas
tor-
Sta
mba
ugh
�A
rbitr
age
Pric
ing
Mod
el (B
IRR
ver
sion
)�
Ad h
oc m
odel
© K
apla
n, In
c.25
�B
uild
-up
(i.e.
, bon
d yi
eld
+ ris
k pr
em)
-1
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�Fa
ma-
Fren
ch M
odel
Exam
ple:
Vario
us R
equi
red
Ret
urn
on
Equi
ty M
odel
s
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
p�
Ris
k-fre
e ra
te o
f 3%
�Sm
all C
ap fa
ctor
s an
d se
nsiti
vitie
s
1.1
5%(M
arke
t ind
ex –
Rf)
Sens
itivi
tyFa
ctor
© K
apla
n, In
c.26
Ri=
3%
+ 1
.1(5
%) +
0.4
(3%
) –0.
8(2%
) =
–0.
82%
Hig
h B
/M –
Low
B/M
0.4
3%(S
mal
l –B
ig) r
etur
ns
8.1%
-2
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�Pa
stor
-Sta
mba
ugh
Mod
el—
adds
a li
quid
ity fa
ctor
Vario
us R
equi
red
Ret
urn
on
Equi
ty M
odel
s
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27 g
qy
to th
e Fa
ma-
Fren
ch M
odel
0.4
3%(S
mal
l–B
ig)r
etur
ns
1.1
5%(M
arke
t ind
ex –
Rf)
Sens
itivi
tyFa
ctor
© K
apla
n, In
c.27
Ri=
3%
+ 1
.1(5
%) +
0.4
(3%
) –0.
8(2%
)–0.
1(4%
) =7.
7%
–0.
8–
0.1
2% 4%H
igh
B/M
–Lo
w B
/MLi
quid
ity p
rem
ium
0.4
3%(S
mal
lB
ig)r
etur
ns
-1
CFA_L2V2_Class_Lecture_Notes.indb 8 11/29/2012 4:36:33 PM
9St
udy
Sess
ion
10
Equi
ty V
alua
tion:
Val
uatio
n C
once
pts
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�A
rbitr
age
Pric
ing
Mod
el:C
ompe
titor
to C
AP
M
Vario
us R
equi
red
Ret
urn
on
Equi
ty M
odel
s
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
�Fa
ctor
s no
t spe
cifie
d
�B
IRR
ver
sion
is c
lose
stto
acc
epte
dfa
ctor
s:
1. In
vest
or c
onfid
ence
risk
2. T
ime
horiz
on ri
sk
© K
apla
n, In
c.28
2. T
ime
horiz
on ri
sk
3. In
flatio
n ris
k
4. B
usin
ess-
cycl
e ris
k
5. M
arke
t-tim
ing
risk
Do
not
mem
oriz
e
-1
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�A
ssum
e:
Vario
us R
equi
red
Ret
urn
on
Equi
ty M
odel
s
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
�R
isk-
free
rate
of 3
%
�U
sing
thre
efa
ctor
s an
d se
nsiti
vitie
s 1.1
2%In
vest
or c
onfid
ence
risk
Sens
itivi
tyFa
ctor
© K
apla
n, In
c.29
Ri=
3%
+ 1
.1(2
%) +
1.2
(4%
) + 0
.8(3
%) =
12.
4%
0.8
3%In
flatio
n ris
k
1.2
4%Ti
me
horiz
on ri
sk
-1
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
�B
uild
-Up
Met
hod
Vario
us R
equi
red
Ret
urn
on
Equi
ty M
odel
s
LOS
31.c
Est
imat
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
27
Bui
ldU
pM
etho
d�
Use
d w
ithcl
osel
y he
ld c
ompa
nies
�U
sed
whe
n be
ta e
stim
ates
uno
btai
nabl
e�
E(r)
= R
f + E
RP
+ si
ze p
rem
ium
+
com
pany
spec
ific
prem
ium
© K
apla
n, In
c.30
com
pany
spe
cific
pre
miu
m�
Inpu
ts w
ill b
e gi
ven
�M
etho
d do
es n
ot u
se b
etas
!N
otic
e
-1
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Bet
a Es
timat
ion:
Pub
lic F
irms
�Pu
blic
com
pany
bet
as: E
stim
ated
with
re
gres
sion
LOS
31.d
Exp
lain
CFA
I V4
p. 6
3, S
chw
eser
B3
p. 3
2
regr
essi
on�
Reg
ress
the
com
pany
’s re
turn
s on
the
retu
rns
of th
e ov
eral
l mar
ket i
ndex
�R
com
pany
= �
+ �
(Rm
arke
t)�
Inde
x ch
oice
: S&
P 5
00
© K
apla
n, In
c.31
�In
terv
al: F
ive
year
s, m
onth
ly d
ata
�B
eta
drift
: Obs
erve
d te
nden
cy o
f a
com
pute
d be
ta to
mig
rate
tow
ards
1.0
-1
CFA_L2V2_Class_Lecture_Notes.indb 9 11/29/2012 4:36:34 PM
10
Stud
y Se
ssio
n 10
Eq
uity
Val
uatio
n: V
alua
tion
Con
cept
s
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Bet
a Es
timat
ion:
Thi
nly
Trad
ed
and
Non
publ
ic F
irms
�Fo
ur-s
tep
proc
edur
e(c
alle
d a
pure
play
)
LOS
31.d
Exp
lain
CFA
I V4
p. 6
3, S
chw
eser
B3
p. 3
2
pp
(p
py)
1.Id
entif
y a
publ
icly
trad
ed fi
rmw
ith s
imila
r in
dust
ry c
hara
cter
istic
s
2.Es
timat
e th
e be
taof
the
publ
icly
trad
ed fi
rm u
sing
re
gres
sion
(las
t slid
e) �
B E
© K
apla
n, In
c.32
3.U
nlev
er th
e be
ta B
unle
vere
d=
[1/(1
+(D
/Eco
mp.
firm))
]BE
4.R
elev
erbe
ta B
nonp
ublic
= [1
+(D
/Eno
npub
lic)]B
unle
vere
d
D/E
ratio
of t
he n
onpu
blic
firm
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Stre
ngth
s an
d W
eakn
esse
s of
the
Req
uire
d R
ate
of R
etur
n A
ppro
ache
s�
CA
PM—
sim
ple,
eas
y to
com
pute
, sin
gle
LOS
31.e
Des
crib
eC
FAI V
4 p.
62,
Sch
wes
er B
3 p.
34
p,
yp
,g
fact
or m
odel
�S
impl
icity
com
es w
ith p
oten
tial l
oss
of
expl
anat
ory
pow
er�
Mul
ti-fa
ctor
mod
els—
high
er e
xpla
nato
ry
pow
er
© K
apla
n, In
c.33
poe
�M
ore
com
plex
and
exp
ensi
ve�
Bui
ld u
p—si
mpl
e �
Ad
hoc
and
uses
his
toric
al v
alue
s
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Inte
rnat
iona
l Con
side
ratio
ns in
R
equi
red
Ret
urn
Cal
cula
tions
�Ex
chan
gera
tes—
com
pute
the
requ
ired
LOS
31.f
Expl
ain
CFA
I V4
p. 8
0, S
chw
eser
B3
p. 3
4
Exch
ange
rate
sco
mpu
te th
e re
quire
d re
turn
in th
e ho
me
curre
ncy
and
adju
st it
by
the
fore
cast
for t
he c
hang
e in
the
exch
ange
ra
te�
Emer
ging
mar
ket p
rem
ium
—us
e a
deve
lope
d m
arke
t ben
chm
ark
and
add
an
© K
apla
n, In
c.34
pem
ergi
ng m
arke
t pre
miu
m
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Wei
ghte
d-Av
erag
e C
ost o
f Cap
ital
�W
eigh
ted
aver
age
of ra
tes
of re
turn
requ
ired
LOS
31.g
Exp
lain
CFA
I V4
p. 8
1, S
chw
eser
B3
p. 3
5
gg
qby
cap
ital s
uppl
iers
(WA
CC
):
��
��
ed
de
WAC
Cw
wr
1t
r�
��
��
��
��
�
Req
uire
d re
turn
s
© K
apla
n, In
c.35
��
��
ed
der
��
��
MV
wei
ghts
OR
ta
rget
wei
ghts
-2
CFA_L2V2_Class_Lecture_Notes.indb 10 11/29/2012 4:36:35 PM
11
Stud
y Se
ssio
n 10
Eq
uity
Val
uatio
n: V
alua
tion
Con
cept
s
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Pairi
ng o
f Dis
coun
t Rat
e W
ith
Cas
h Fl
ows
�Fi
rmva
lue
=FC
FF,d
isco
unta
tWA
CC
LOS
31.h
Eva
luat
eC
FAI V
4 p.
82,
Sch
wes
er B
3 p.
35
Firm
valu
e F
CFF
,dis
coun
t atW
AC
C
�E
quity
valu
e =
FCFE
, dis
coun
t at R
E
�U
se F
CFE
whe
n ca
pita
l stru
ctur
e ar
e no
t vol
atile
�U
se F
CFF
with
hig
h de
bt le
vels
, neg
ativ
e FC
FE
© K
apla
n, In
c.36
�E
quity
val
ue =
firm
val
ue –
MV
of d
ebt
Big
Poi
nt:Y
ou m
ust a
lign
the
disc
ount
rate
with
the
cash
flow
s!-2
Mic
roec
onom
ic A
naly
sis
Ret
urn
Con
cept
s
Key
s to
the
Exam
Ret
urn
Con
cept
s
�S
even
retu
rnco
ncep
tsS
even
retu
rn c
once
pts
�E
stim
atin
g th
e eq
uity
risk
pre
miu
m�
CA
PM
, Fam
a-Fr
ench
, and
rela
ted
mod
els
�B
eta
estim
atio
n�
WAC
C
© K
apla
n, In
c.37
CFA_L2V2_Class_Lecture_Notes.indb 11 11/29/2012 4:36:35 PM
12
C l a s s D i s C u s s i o n Q u e s t i o n s
Use the following information to answer Questions 1–4.
MegaCorp, Inc. (MG) CAPM Data and Estimates FFM Data and EstimatesRisk-free rate 2.25% 2.25%Market (equity) risk premium 6.00% 6.00%Size premium — 2.00%Value premium — 4.30%Beta 1.07 1.11Size beta — –0.14Value beta — 0.00
The required return on equity for MegaCorp using the capital asset pricing model (CAPM) is 1. closest to:
8.41%.A. 8.67%.B. 8.83%.C.
The required return on equity for MegaCorp using the Fama-French model (FFM) is 2. closest to:
8.39%.A. 8.63%.B. 9.19%.C.
The 3. most accurate interpretation of MegaCorp’s value beta is:
the market capitalization factor of MegaCorp is the same as the overall market.A. MegaCorp stock has neither a value nor growth bias.B. there will be a significant value risk premium effect on MegaCorp’s required return.C.
Based on the data provided, MegaCorp is 4. most likely:
experiencing less market risk than the average firm.A. larger than the average company, as evidenced by its negative size beta.B. smaller than the average company, as evidenced by its negative size beta.C.
A common stock has the following characteristics:5.
Market beta 1.3Size beta 0.17Value beta –0.49Liquidity beta 0.25
The style of a company with the following stock characteristics is most likely to be:large-cap growth.A. small-cap value.B. small-cap growth.C.
CFA_L2V2_Class_Lecture_Notes.indb 12 11/29/2012 4:36:35 PM
13
C l a s s D i s C u s s i o n s o l u t i o n s
B1. The equation for CAPM is:
ri = R
F + (β
i) market risk premium
ri = 2.25% + 1.07(6.00%)
ri = 8.67%
A is incorrect. This answer was obtained by multiplying the risk-free rate times the market beta and then adding it to the market risk premium.
C is incorrect. This answer was obtained by adding the risk-free rate to the market risk premium and then multiplying this total by the market beta.
B2. The solution using the Fama-French model is:
ri RF imktRMRF i
sizeSMB ivalueHML= + + +
= + ( )+β β β
. % . . %2 25 1 11 6 00 0 .. . % . %
. %14 2 00 0 4 30
8 63( ) + ( )
=
A is incorrect. This answer was obtained by incorrectly multiplying the market risk premium times the CAPM market beta, not the FFM market beta.
C is incorrect. This answer was obtained by incorrectly using a positive, instead of a negative, size beta (0.14 instead of –0.14).
B3. The Fama-French model (FFM) incorporates three risk premiums to determine the required rate of return:
r R RMRF SMB HMLi F imkt
isize
ivalue= + + +β β β
The value beta is used with the high minus low (HML) factor to estimate the value risk premium. The average returns of low book-to-market portfolios are subtracted from the average returns of high book-to-market portfolios to obtain the HML factor. A value beta greater than zero indicates a high book-to-market value for the company, which means it has a value bias. A value beta less than zero indicates a low book-to-market value, thus a growth bias. A value beta of zero has no growth or value bias.
A is incorrect. This answer relates to the FFM’s small minus big (SMB) factor, which has to do with the effect of size (market capitalization) on the required rate of return. The value beta is not related to size, but rather to market-to-book value.
C is incorrect. Because the value beta is zero, there will not be a value premium effect on MegaCorp’s required return; zero is the neutral value for both the size and value betas. This is in contrast to the market beta where 1.0 is the neutral value. A zero value beta means MegaCorp’s stock has no growth or value bias.
CFA_L2V2_Class_Lecture_Notes.indb 13 11/29/2012 4:36:36 PM
14
B4. The Fama-French model (FFM) incorporates three risk premiums to determine the required rate of return:
r R RMRF SMB HMLi F imkt
isize
ivalue= + + +β β β
The size beta is used with the small minus big (SMB) factor to estimate the size risk premium. The average returns of three small-cap portfolios minus the average return on three large-cap portfolios is used to obtain the SMB factor. A size beta less than zero is an indication that the firm is larger than the average firm. This is the case for MegaCorp. A size beta greater than zero indicates a firm is smaller than average.
A is incorrect. The firm’s market beta is 1.11, which indicates it has above average market risk (not less market risk).
C is incorrect. Because the size beta is less than zero, MegaCorp is larger than the average firm.
C5. The stock is most likely that of a small-cap growth company. Positive size beta indicates the firm is smaller than average, making it small-cap. Positive liquidity beta is typical for small-cap stocks as they often trade in less liquid markets; the negative value beta implies a growth orientation.
A is incorrect. The positive size beta indicates the firm is smaller than average, making it small-cap. The growth portion is correct because the firm has a negative value beta.
B is incorrect. The negative value beta indicates a negative sensitivity to the value factor; this implies a growth orientation.
CFA_L2V2_Class_Lecture_Notes.indb 14 11/29/2012 4:36:37 PM