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Infineeti Research journal
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Rolta India Ltd. Country Sector
India
IT
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
2 3
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
4 5
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
6 7
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
8 9
Abstrac t :I ndian economy has provided
t r e m e n d o u s g r o w t h o p p o r -
tunit ies for a l l the industr ies
o v e r t h e l a s t t w o d e c a d e s .
S cheduled commercia l banks
i n I n d i a h a ve u s e d t h e p l a t -
form provided by the economy
a n d h a v e g r o w n a t a f a s t e r
t h a n m a n y s e c t o r s . B a n k i n g
s t o c k s h a v e i d e a l l y b e c o m e
o n e o f t h e b e s t c h o i c e s f o r
i n v e s t o r s . T h e r e t u r n s o f
b a n k i n g s t o c k s w e r e o n e o f
t h e h i g h e s t i n t h e m a r k e t i n
l a s t d e c a d e ( C A G R o f 2 7 % ) .
T h o u g h b a n k i n g u n i v e r s e
i n I n d i a i s h i g h l y re g u l a t e d ,
there were s igni f icant d i f fer-
e n c e s e x i s t i n t h e i r u n d e r -
l y i n g o p e r a t i o n s a n d h e n c e
their per formance. This paper
a ims at per for mance rank ing
o f I n d i a n C o m m e r c i a l b a n k s
b a s e d o n s t a t i s t i c a l p a r a m -
e t e r s ( q u a n t i t a t i v e p a r a m e -
ters) for each year f rom 2008
to 2011. Based on the changes
i n t h e r a n k i n g , t h e p a p e r
t r ies to show the cor re lat ion
bet ween the rank ing changes
a n d t h e m a r k e t v a l u a t i o n o f
the respec t ive stocks through
the corresponding changes in
t h e P / B V ( Pr i c e / B o o k v a l u e )
o f t h o s e s t o c k s . Th e r a n k i n g
model i s based on Analyt ica l
h ierarchica l process method.
We h a v e u s e d q u a n t i t a t i v e
parameters in AHP method to
rank the banks
I ntroduc t ion :
O v e r t h e l a s t t w o d e c a d e s ,
I n d i a n b a n k s h a v e c a p i t a l -
i z e d o n t h e g r o w t h o f t h e
I n d i a n e c o n o m y a n d g r o w n
a t a f a s t e r p a c e t h a n m a n y
o t h e r i n d u s t r i e s . E c o n o m i c
grow t h g ave ra i s e to grow t h
o f ca p i t a l m ar k e ts w h ic h t h e
b a n k s u s e d f o r c a p i t a l i z i n g
t h e i r g r o w t h . T h e b a n k i n g
s e c t o r h a s m a d e t r e m e n -
d o u s s u c c e s s i n t h e r e c e n t
past as many of the commer-
c i a l b a n k s t h a t a p p r o a c h e d
t h e c a p i t a l m a r k e t t h r o u g h
p u b l i c o f f e r s a n d q u a l i f i e d
inst itutional placements (QIP)
t o r a i s e t h e i r c a p i t a l b a s e .
C a p i t a l m a r k e t s s h o we d t re -
m e n d o u s r e s p o n s e w h e n -
e ve r I n d i a n g o ve r n m e n t l i q -
uidated i ts equit y posit ion in
the publ ic sec tor banks (PSB) .
The re - capita l izat ion success
o f t h e b a n k s w a s a l m o s t
s i m u l t a n e o u s l y f o l l o w e d b y
increased demand for banking
s e c to r s to c k s t h e re by g i v i n g
r i s e t o i n c r e a s e d m a r k e t
p r i c e s o f b a n k i n g s h a r e s ,
i n c re a s e d e a r n i n g s a n d to t a l
m a r k e t t u r n o v e r w h i c h i s
h i g h e s t a m o n g a l l s e c t o r s
stocks. According to the latest
market condit ions, Aggregate
bank ing stocks have a weight
o f 3 0 p e rce n t a p p rox i m a te l y
i n t h e t o t a l m a r k e t c a p o f
Bombay stock exchange. Thus,
bank ing stocks are one of the
most traded and most watched
in the market . Nat ional stock
e xc h a n g e h a s c re a t e d a s e c -
to r i a l I n d e x a s “ B A N K N I F T Y ”
w h i c h c o m p r i s e s o f a l l t h e
l i s ted bank`s stocks.
Indian Banking universe is one
o f t h e h i g h l y r e g u l a t e d a n d
s t a b l e i n t h e w o r l d . T h o u g h
b a n k i n g u n i ve r s e i n I n d i a i s
h i g h l y re g u l ate d, t h e re we re
s i g n i f i c a n t d i f f e r e n c e s e x i s t
i n t h e i r u n d e r l y i n g o p e r a -
t i o n s a n d h e n c e t h e i r f i n a n -
c i a l p e r f o r m a n c e . T h e i d e a
behind publ ishing rank ings is
to provide an oppor tunit y to
benchmark once per formance
A Framework for I ndian Commercia l Banks Per formance R ank ing and Study of Correlat ion of I nvestor Percept ion with Per formance R ank ing-
By Sanjeev kumar V, Senthi l Kumar Subramanian.
( The authors are student of PGDIM,NITIE . The ar t ic le i s the winning entr y of Nat ional Research Paper Competit ion organized by INIF INEE TI )
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
10 11
grouped var ious per formance
p a r a m e t e r s u n d e r d i f f e r e n t
clusters vis. Capital Adequacy,
A s s e t Q u a l i t y , F i n a n c i a l
Ef f ic ienc y, Earnings
P a r a m e t e r s , L i q u i d i t y
Parameters , Operat ional e f f i -
c i e n c y a n d G r o w t h p a r a m -
e t e r s . I n t h i s p a p e r we h a ve
u s e d A H P t o c r e a t i n g t h e
r a n k i n g m o d e l . A H P m e t h o d
( s a a t y, 1 9 8 0 ) i s o n e o f t h e
most commonly used methods
f o r d e c i s i o n m a k i n g w h e r e
multiple attr ibutes are used to
make the dec is ion . The dec i -
sion making process is divided
i n t o m u l t i p l e s t e p s a n d t h e
p ro b l e m i s d e co m p o s e d i nto
h i e r a r c h y s t r u c t u r e w h i c h
consists of the e lements such
as : the goal , the cr i ter ia (sub -
cr i ter ia) and the a l ternat ives.
AHP is a mathematical model
in which we can ass ign pr ior i -
t ies to the parameters used in
decis ion mak ing.
AHP method is used to rank the
di f ferent c lusters and param-
e t e r s w i t h i n e a c h c l u s t e r .
Accordingly, with the arr ived
w e i g h t s f o r p a r a m e t e r a n d
c luster, they were mult ip l ied
t o g e t t h e w e i g h t s fo r e a c h
parameter. From the rank ings
change we have found I ndus
I nd Bank and Bank of Baroda
h a s m a d e h u g e p r o g r e s s i n
t h e i r r a n k i n g f r o m 2 0 0 8 t o
2011. Accordingly, market has
c h a n g e d I n d u s I n d b a n k ’s P /
BV valuat ion f rom 2.21 to 3 .28
and Bank of Baroda’s P/BV from
1.26 to 1 .82
D i s c u s s i o n o n p o s s i b l e p a r a m e t e r s f o r p e r f o r -mance rank ing:I n d i a n b a n k i n g u n i v e r s e h a s
u n d e r g o n e m a j o r c h a n g e s
p o s t l i b e r a l i z a t i o n , m o r e s o,
a f t e r t h e e n t r y o f f o r e i g n
banks and new I ndian pr ivate
banks. Hence, form the inves-
tor ’s point of v iew ; rank ing of
b a n k s h a s t o b e i n d i f f e r e n t
w a y t h a n c u r r e n t l y a v a i l a b l e
rat ings methodologies.
Though, for stat ist ical analys is
and per formance rank ing most
agencies use parameters which
a re co m m o n . B u t t h e we i g h t-
i n g s g i ve n t o t h e p a r a m e t e r s
v a r y f r o m a g e n c y t o a g e n c y
and a lso depend on the objec-
t ive of the rank ing.
Di f ferent parameters used for
ra n k i n g a B a n k a re i d e n t i f i e d
f rom the paper Cr i t ica l analy-
s i s o f p a ra m e te r s o f rat i n g o f
I n d i a n c o m m e r c i a l b a n k s b y
Mukta Mani (2011) .
CAMELS rat ings are one of the
prominent ly used methods to
c h o o s e p a r a m e t e r s f o r a n a -
l y z i n g b a n k s a c r o s s w o r l d .
This rat ing provides a general
f ra m e wo r k fo r e v a l u a t i n g t h e
b a n k s . I n t h i s p a p e r we h ave
m o d i f i e d t h e C A M E L r a t i n g s
to ident i fy the parameters for
rank a bank f rom the investor
perspec t ive.
For an investor, ear n ings are
a n i m p o r t a n t m e a s u r e o f
p e r fo r m a n c e. B a n k e a r n i n g s
c o m e f r o m I n t e r e s t i n c o m e
a n d o t h e r i n c o m e s . I n t e r e s t
i n c o m e c o m e s f r o m t h e i r
lending ac t iv it ies. Parameters
such as Advance growth, Net
I n t e re s t M a rg i n c a n b e u s e d
to m e a s u re t h e i r s t re n g t h i n
i n t e r e s t i n c o m e . T h e r e i s a
n e e d to fo c u s o n we l l d i ve r-
s i f i e d o t h e r i n c o m e s t r e a m .
Earnings from non-fund based
s e r v i c e s l i k e c r e d i t g u a r -
a n t e e s ; L / C s , c a s h m a n a g e -
ment , logist ics management ,
t a x co l l e c t i o n a n d o t h e r s e r -
vices are more permanent and
involve less amount of credit
and market r isk . On the other
h a n d , f o r e a r n i n g i n t e r e s t
i n co m e a n d t re a s u r y i n co m e
b a n k h a s t o b e a r c r e d i t r i s k
and mar ket r i sk respec t ive ly.
This can be measured by using
r a t i o s s u c h a s n o n - i n t e r e s t
income to total assets.
Banks are one of the most lever-
aged inst itut ions. Their assets
per formance depends on the
customer credit quality. Banks
use the por t ion of their earn-
i n g s a s t h e d e f e n s e a g a i n s t
t h e n o n p e r f o r m i n g a s s e t s .
B a n k s a l l o c a t e a p o r t i o n o f
their prof i ts for provis ions for
n o n - p e r f o r m i n g a s s e t s . T h i s
with i ts competitors and peers
in the sec tor.
T h e r a t i n g a g e n c i e s e v a l u -
ate var ious companies on the
b a s i s o f d i f f e r e n t q u a n t i t a -
t i v e a n d q u a l i t a t i v e p a r a m e -
ters . However the parameters
d i f fer f rom one rat ing agenc y
t o a n o t h e r. M a n y a g e n c i e s
have ranked Indian Commercial
B a n k s b a s e d o n d i f f e r e n t
o b j e c t i v e s a n d p a r a m e t e r s .
M a j o r f o r e i g n a g e n c i e s t h a t
rank I ndian Commercia l banks
are Standard & Poor, Fitch, and
M o o d y. I n d i a n a g e n c i e s t h a t
rank I ndian Commercia l Banks
a r e B u s i n e s s Wo r l d , B u s i n e s s
S t a n d a rd , a n d B u s i n e s s I n d i a
etc.
Standard & Poor rate the banks
on the bas is of economic r isk ,
industr y r isk , corporate struc-
t u r e , m a n a g e m e n t s t r u c t u r e ,
accounting & f inancia l repor t-
ing, credit r i sk & r isk manage -
m e nt , l i q u i d i t y, c a p i t a l , e a r n -
i n g s, p ro f i t a b i l i t y, a s s e t co m -
p o s i t i o n a n d a s s e t q u a l i t y o f
the banks.
Fitch rating emphasizes that to
rate a bank one needs to under-
s t a n d t h e b u s i n e s s p ro f i l e o f
the bank , the r isks inherent to
t h e b u s i n e s s , t h e o b j e c t i v e s
o f i t s m a n a g e m e n t , t h e e nv i -
ronment i t operates in and the
most l ikely future development
of i ts business. The parameters
c o n s i d e r e d b y Fi t c h i n c l u d e s
profi le of the bank, Governance
and org anizat ion , ope rat ions,
capita l , funding and l iquidit y,
credit r i sk , concentrat ion r isk ,
equit y r isk , prof i tabi l i t y, asset
qual i t y, leverage, Market envi -
ronment and r isk management.
M o o d y ’s c r e d i t r a t i n g s a r e
o p i n i o n s o n t h e c r e d i t w o r -
t h i n e s s o f t h e b a n k s . T h e s e
rat ings include long-term obli-
gation ratings, syndicated loan
rat ing s, b a n k d e p o s i t rat i n g s,
n a t i o n a l s c a l e r a t i n g s a n d
i n s u r a n c e f i n a n c i a l s t r e n g t h
rat ings. Moody rates the banks
o n t h e b a s i s o f c a p i t a l , a s s e t
q u a l i t y , e a r n i n g s , l i q u i d i t y ,
m a r k e t l e a d e r s h i p, r i s k m a n -
a g e m e n t , o w n e r s h i p , s t r u c -
ture and so on. M oody focuses
more on stat ist ica l fac tors for
rank ing. The stat ist ica l param-
eters are Capital, Asset qual ity,
Earnings and L iquidit y.
The Business I ndia has ranked
t h e c o m m e rc i a l b a n k s o n t h e
b a s i s o f C a p i t a l a d e q u a c y ,
R e s o u r c e s D e p l o y e d , A s s e t
quality, Management, Earnings
qual i ty and Liquidit y. Business
S t a n d a r d R e s e a r c h B u r e a u
( B S R B ) h a s r a n k e d t h e b a n k s
on the basis of f ive broad indi-
c a t o r s n a m e l y P r o f i t a b i l i t y ,
Safety, Produc t iv it y, Ef f ic ienc y
a n d G r o w t h . B u s i n e s s Wo r l d
( B W ) h a s d i v i d e d t h e r a n k i n g
p a r a m e t e r s o f b a n k s i n t o
s i x b r o a d g r o u p s n a m e l y
Prof itabi l i ty, Ef f ic ienc y, Safety,
S ize, Valuat ion and Growth.
The Reser ve Bank of I ndia had
u s e d s i x k e y p a r a m e t e r s f o r
r a t i n g o f I n d i a n c o m m e r c i a l
banks. These are called CAMELS
r a t i n g p a r a m e t e r s , w h e r e C
s t a n d s fo r C a p i t a l Ad e q u a c y,
A s t a n d s f o r A s s e t Q u a l i t y ,
M s t a n d s fo r M a n a g e m e n t , E
s t a n d s f o r E a r n i n g s p e r f o r -
m a n ce, L s t a n d s fo r L i q u i d i t y
and S stands for Systems. The
k e y p a r a m e t e r s u n d e r t h e
C A M E L r a t i n g p a r a m e t e r s a re
capita l to total assets, capita l
m i n u s e s t i m a t e d l o s s e s t o
tota l assets , de l inquent loans
to to t a l l o a n , n e t c h a rg e o f fs
to ave r a g e l o a n , n o n - e a r n i n g
a s s e t s t o t o t a l a s s e t s , o p e r -
a t i n g e x p e n s e s m i n u s p r o v i -
s ions for loan losses and inter-
est expenses to average assets,
n e t i n c o m e b e f o r e s t a t u t o r y
r e s e r v e t r a n s f e r s t o a v e r a g e
a s s e t s a n d n e t i n c o m e a f t e r
t ransfers to average assets.
I n th is paper, we have ranked
t h e I n d i a n c o m m e rc i a l b a n k s
f r o m t h e p o i n t o f v i e w o f a n
i n v e s t o r f o r e a c h y e a r f r o m
2 0 0 8 t o 2 0 1 1 . B a s e d o n t h e
c h a n g e s i n t h e r a n k i n g , t h e
p a p e r t r i e s t o s h o w t h e c o r -
re l at i o n b e t we e n t h e ra n k i n g
changes and the market valu-
at ion of the respec t ive stocks
t h r o u g h t h e c o r r e s p o n d i n g
c h a n g e s i n t h e P / B V o f t h o s e
stocks.
I n t h i s e x e r c i s e w e h a v e
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
12
The absolute s ize of the banks
m a y a l s o b e i n c l u d e d i n t h e
r a t i n g s a s i t g i v e s a b r a n d
name and good perception for
the investors. Also, s ize of the
bank is impor tant for business
d i ve r s i f i c a t i o n , b ro a d e r g e o -
graphical reach, reduced con-
centrat ion r isk and economies
of scale.
W i t h t h e o p e n i n g u p o f t h e
e c o n o m y, t h e I n d i a n b a n k s
face competit ion from foreign
banks in terms of both business
a n d t a l e n t s . Wi t h t h e g r a n t -
i n g o f n e w b a n k i n g l i c e n s e s
by RBI , competit ion for ta lent
h a s b e c o m e i n t e n s e. Th o u g h
i t i s c h a l l e n g i n g t o m e a s u r e
h o w b a n k s r e s p o n d t o t h i s
c o m p e t i t i o n , we b e l i e ve t h i s
w o u l d b e c a p t u r e d i n b u s i -
ness per employee and prof i t
p e r e m p l o y e e . N o n - b a n k i n g
f inancia l inst i tut ions are a lso
giv ing compet i t ion for banks
w h i c h b a n k s a re o ve rc o m i n g
b y c o m i n g o u t w i t h i n n o v a -
t ive f inancia l produc ts. These
k i n d o f q u a nt i t at i ve p a ra m e -
ters are not captured as these
w o u l d f i n a l l y c o n t r i b u t e t o
b o t t o m l i n e w h i c h a r e c a p -
tured in terms of growth rates.
S i m i l a r l y a t t r i b u t e s l i k e c u s -
t o m e r s e r v i c e , c u s t o m e r s a t -
isfac t ion, locat ion advantages
e t c . a r e a l s o n o t c o n s i d e r e d
as a l l of these f inal ly contr ib -
ute to the prof i tabi l i t y of the
bank .
I n t h i s p a p e r we h ave l i n k e d
the rank ing changes with the
c o r r e s p o n d i n g c h a n g e s i n
t h e P r i c e / b o o k v a l u e ( P / B v )
w h i c h re p re s e nt s t h e m a r k e t
p e r c e p t i o n a b o u t t h e b a n k .
There i s a lot of l i terature in
t e x t b o o k s d i s c u s s i n g p r i c e
mult iples. I n the paper t i t led
V a l u i n g F i n a n c i a l s e r v i c e s
f i r m b y A s h w a t h D a m o d r a n
( 2 0 0 9 ) d i s c u s s e s t h e d i f f e r -
e n t m e t h o d s o f v a l u a t i o n o f
a b a n k i n g f i r m . I n t h e p a p e r
t i t led Equit y Valuat ion Us ing
Price Multiples: A Comparative
S t u d y f o r B R I C K S b y S a n j a y
S e h g a l a n d A s h e e s h Pa n d e y
(2010) d iscuss about the key
v a l u e d r i v e r o f t h e c o m p a -
nies in the Brazi l , Russia, India
China, Korea and South Afr ica.
As per the result most of the
companies in I ndia are us ing
relative valuation of price with
respec t to book value. I n the
paper t it led Relative Valuation
o f U. S . I n s u r a n ce Co m p a n i e s
(2011) by Doronniss im clear ly
d e f i n e s t h e r e l a t i v e v a l u a -
t ion method for f inancia l ser-
v i c e s f i r m a n d B a n k s a c r o s s
the wor ld. He concludes that
m a r k e t p r i c e a s a p r o x y f o r
i n t r i n s i c v a l u e o f t h e f i r m
which is termed as book value
of the f i rm.
I n t h e p a p e r t i t l e d a p p l i c a -
t i o n o f a n a l y t i c h i e r a r c h y
p ro ce s s (A H P ) to i nve s t m e n t
p o r t f o l i o s e l e c t i o n i n t h e
banking sector of the Nigerian
capita l market by E .O.oyatoye
(2010) , G.U.ok poko(2010) and
G . A A d e k o y a ( 2 0 1 0 ) u n d e r -
l i n e s t h e i m p o r t a n c e o f d i f -
f e r e n t c r i t e r i a , f a c t o r s a n d
a l t e r n a t i v e s t h a t a r e e s s e n -
t i a l i n v e s t m e n t d e c i s i o n b y
a p p l y i n g A n a l y t i c a l h i e r a r -
chica l process (AHP ) . AHP is
o n e o f t h e b e s t m a t h e m a t i -
ca l techniques in the case of
multi cr iteria decision making.
I n t h e p a p e r t i t l e d a n a l y s i s
o f t h e e f f i c i e n c y o f b a n k s i n
M o n t e n e g r o u s i n g t h e A H P
b y S v e t l a n a R a k o c e v i c a n d
Zd e n k a D ra g a s e v i c u s e s A H P
m e t h o d t o c o m p a r e b a n k s
d e p e n d i n g o n t h e d i f f e r e n t
q u a n t i t a t i v e a n d q u a l i t a t i v e
cr i ter ia .
Methodology :
C A F E L O G S M o d e l Formulat ion -
A s d i s c u s s e d e a r l i e r, i n t h i s
p a p e r we h ave m o d i f i e d t h e
CAMEL rat ings to ident i fy the
p a r a m e t e r s f o r r a n k a b a n k
f r o m t h e i n v e s t o r p e r s p e c -
t ive .The replacement of M –
Management capabil it ies with
operat ional and f inancial eff i -
c i e n c i e s . Two o t h e r p a r a m e -
t e r s n a m e l y t h e g r o w t h a n d
m a r k e t s h a re p a ra m e te r s a re
added at the end .The
modif ied model can be named
a s C A F E LO G S . T h e c l u s t e r s
w h i c h co nt r i b u te to t h e n e w
m o d e l C A F E L O G S a r e d i s -
cussed below.
C a p i t a l A d e q u a c y –
Capital adequacy is the cluster
to deter mine the capaci t y of
b a n k t o m e e t l i a b i l i t i e s a n d
r isk such as credit r i sk , oper-
a t i o n a l r i s k , m a r k e t r i s k a n d
b u s i n e s s r i s k . C a p i t a l a d e -
quac y parameters has cer ta in
i n f l u e n c e o n B a n k s e x p a n -
s i o n . C A R p a r a m e t e r s wo u l d
i n c o r p o r a t e t h e r i s k l e v e l s
. R e s e r ve B a n k o f I n d i a g i ve s
cer tain guidance on minimum
CAR parameters which would
b u i l d s h a r e h o l d e r s c o n f i -
dence in the bank ing system.
T h e p a r a m e t e r s i d e n t i f i e d
under this c luster are Capita l
Ad e q u a c y R a t i o (C A R ) , T i e r - I
Capita l and div idend payout .
Asset Qual i t y -
I n a b a n k b a l a n c e s h e e t t h e
mai n h eads und er the asset s
s ide are Investment, advances
, B a l a n c e s w i t h o t h e r b a n k s
, B a l a n c e s w i t h R e s e r ve B a n k
o f I n d i a a n d Fi xe d As s e t s . I n
banks the major par t i s under
a s s e t s i s u n d e r A d v a n c e s
h e a d . R e s e r v e B a n k o f I n d i a
h a s c l a s s i f i e d a s s e t i n to c a t-
e g o r i e s l i k e s t a n d a rd a s s e t s ,
s u b s t a n d a r d a s s e t s , d o u b t -
f u l a s s e t s a n d L o s s a s s e t s .
R B I h a s g i ve n ce r t a i n g u i d e -
l ines for provis ioning of Non-
p e r f o r m i n g l o a n s d e p e n d -
i n g o n t h e d u r a t i o n o f i t ’s
comparing the per formance of
d i f ferent banks. These param-
eters ref lec t the management
c a p a b i l i t y t o g e n e r a t e m o r e
business form the exist ing set
up.
A n o t h e r m e a s u r e t h a t w i l l
impact the investor sentiments
i s t h e g r o w t h p a r a m e t e r s .
G ro w t h o f p r o f i t s , a d v a n c e s ,
deposits , and ent i re business
p l a y s a n i m p o r t a n t r o l e i n
investment decis ion mak ing.
For a commercia l bank , main-
t e n a n c e o f l i q u i d i t y i s a s
i m p o r t a n t a s i t s p r o f i t a b i l -
i t y. L iquidit y r isk can be mea-
s u r e d f r o m m a t u r i t y m i s -
m a t c h o f a s s e t s a n d l i a -
b i l i t i e s . I t i s m a n a g e d b y
A s s e t L i a b i l i t y M a n a g e m e n t
C o m m i t t e e ( A LC O ) t h r o u g h
ALM techniques.
Capita l adequac y is an impor-
tant factor to judge the bank ’s
a b i l i t y to m e e t s i t s r i s k s a n d
l i a b i l i t i e s . C a p i t a l a d e q u a c y
also shows the room for bank ’s
g r o w t h w i t h t h e a v a i l a b l e
c a p i t a l . A l s o , t o i m p l e m e n t
Basel I I norms, banks need to
h ave a s t ro n g f r a m e wo r k fo r
credit r isk and operational r isk
m a n a g e m e n t . M e a s u r e s l i k e
CAR (Capita l adequac y
rat i o) & Ti e r - 1 c a p i t a l to R i s k
we i g h te d a s s e t s c a n b e u s e d
t o j u d g i n g t h e c a p i t a l a d e -
quac y of banks.
provis ion a l locat ion depends
o n t h e a s s e t q u a l i t y o f t h e i r
b o o k s . Pa r a m e te r s l i k e G ro s s
N PA , N e t N PA , a n d Pro v i s i o n
c o v e r a g e r a t i o c a n b e u s e d
t o m e a s u r e a s s e t q u a l i t y o f
b a n k s . H e r e , n o n - p e r f o r m -
i n g a s s e t s h ave l a rg e l y b e e n
taken in comparison with total
assets or net advances. O ther
measures l ike, s l ippage
r a t i o w h i c h m e a s u r e s t h e
i n c re a s e i n N PA s c a n a l s o b e
used. Another way to analyze
t h e l o a n b o o k q u a l i t y i s t o
c h e c k t h e e x p o s u r e o f t h e
loans v iz . sec tors or large cus-
tomer wise. Credit r isk concen-
t ra t i o n i s m e a s u re d by re l a t -
ing a volat i le loan categor y to
c a p i t a l . I t s h o u l d b e t r i e d to
ascer ta in what would happen
to core earnings (and possibly
to capita l ) i f a bank needed to
wr i te - of f several of i ts largest
loans.
B e s i d e s , i n c r e a s i n g t h e
r e v e n u e a n o t h e r w a y t o
i n c re a s e p ro f i t m a rgi n s i s , to
reduce the cost of operat ions.
A m a j o r c h u n k o f o p e r a t i n g
c o s t i n P u b l i c S e c t o r B a n k s
i s t h e s t a f f co s t , a l s o te r m e d
e s t a b l i s h m e n t c o s t . C o s t t o
i n c o m e p a r a m e t e r h e l p s i n
compar ing the operat ing cost
incurred with the income gen-
erated. O ther fac tors such as
Business per employee, prof i t
p e r e m p l o y e e , B u s i n e s s p e r
b r a n c h c a n a l s o b e u s e d fo r
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
14 15
n o n - p e r fo r m i n g. B a n k s h a ve
t o a l l o c a t e s u i t a b l e a m o u n t
of provis ions according to the
non-per forming loans in that
y e a r. T h e p a r a m e t e r s i d e n -
t i f i e d u n d e r t h i s c l u s t e r a r e
Gross Non-Per forming Assets
(G N PA) , N e t N o n - Pe r fo r m i n g
L o a n ( N N PA ) a n d Pr o v i s i o n s
Coverage R at io (PCR) .
Fi n a n c i a l E f f i c i e n c i e s -
T h e s e a re Fi n a n c i a l p a r a m e -
ters which can help the bank
to determine the effectiveness
o f i t s u t i l i z a t i o n o f f i n a n c i a l
resources available with them.
These parameters depends on
the economic parameters such
as Repo, Reverse repo,
C a s h r e s e r v e r a t i o a n d s t a t -
u t o r y l e n d i n g r a t i o . T h e s e
p a r a m e t e r s d e p e n d o n t h e
s h o r t t e r m a n d l o n g t e r m
s t r a t e g i e s o f t h e b a n k . T h e
p a r a m e t e r s i d e n t i f i e d u n d e r
t h i s c l u s t e r a r e N e t i n t e r e s t
margin (NIM), Interest Income
to To t a l As s e t s , N o n - i n te re s t
i n c o m e t o t o t a l A s s e t s , N e t
i n t e r e s t i n c o m e t o I n t e r e s t
i n c o m e a n d N e t p r o f i t s t o
total assets.
Earnings –
Commonly known as the return
rat io in a Banks R at io analys is
. T h e y a r e t h e a c t u a l r e t u r n s
w h i c h t h e b a n k s a n d s h a r e -
holders get on their business
a c t i v i t i e s . T h e p a r a m e t e r s
under this c luster contr ibutes
to the future valuat ion of the
b a n k s . Th e p a r a m e te r s i d e n -
t i f ied under this categor y are
Return on Equity (ROE), Return
o n A s s e t s ( R OA) , p e rce n t a g e
increase in earnings per share
(EPS) and percentage increase
in book value (BV ) .
L iquidit y –
L i q u i d i t y i s a b i l i t y t o m e e t
s h o r t t e r m a n d l o n g t e r m
o b l i g a t i o n s w i t h o u t l o s s e s .
O n e o f t h e k e y p r o b l e m s o f
l i q u i d i t y i n b a n k s a r i s e s d u e
to Asset l iabi l i t ies mismatch.
L i q u i d i t y c a n c a u s e a h u g e
shor t term demand for money
which would af fec t the earn-
i n g s o f t h e b a n k . I n o rd e r to
m e e t t h e s h o r t t e r m o b l i g a -
tions banks should either raise
money though LAF (L iquidit y
A d j u s t m e n t Fa c i l i t y ) o r C a l l
m o n e y m a r k e t . I n L A F t h e
R e s e r v e B a n k o f I n d i a l e n d s
at 1 p e rce nt h i g h e r t h a n t h e
Repo rate f ixed by them .The
p a r a m e t e r s i d e n t i f i e d u n d e r
this c luster are Credit- deposit
rat i o (C D rat i o) , Ad va n ce s to
tota l as s e t , D e pos i t s to tot a l
l iabil it ies, Investments to total
a s s e t a n d C u r r e n t a c c o u n t
savings account (CASA) .
O p e r a t i o n a l Ef f ic iencies -
O p e r a t i n g co s t i s o n e o f t h e
impor tant cost head in bank ’s
P & L s t a t e m e n t . I n d i a h a s a
huge oppor tunity for Bank ing
i n t h e c o m i n g y e a r s w h i c h
c a n b e t a p p e d b y i n c re m e n -
tal branches of banks .Reser ve
Bank of India has forced Indian
commercia l banks to open 25
% of t he i r branches in Tier 5
and Tier 6 cit ies (rural ) . Indian
banks have more opportunities
to explore new technologies in
the bank ing system .The pen-
etrat ion of mobi le commerce
and elec tronic commerce can
h e l p t o re d u c e t h e i r o p e r a t-
ing cost . Operat ing ef f ic ien-
c ies determine the long term
p ro f i t a b i l i t y o f t h e c o m m e r -
c ia l banks. E f f ic ient usage of
the resources wi l l reduce the
operat ional cost and enhance
the bank ing prof i t . The major
head under operat ing cost i s
t h e s a l a r i e s f o r e m p l o y e e s .
T h e p a r a m e t e r s i d e n t i f i e d
u n d e r t h i s c l u s t e r a r e b u s i -
ness per employee, operat ing
prof i t per employee and Cost
to income, Operat ing income
to total assets.
Growth -
G r o w t h r a t e d e t e r m i n e s r e l -
a t i v e p e r f o r m a n c e o f t h e
b a n k w i t h o t h e r s . G r o w t h
i s a n i m p o r t a n t c o n c e r n fo r
i nve s to r s i n a ny b u s i n e s s . I n
bank ing sec tor the growth is
benchmarked by the guidance
o f G D P g row t h r a te a n d n o n
fo o d c re d i t grow t h ra te p ro -
vided by the Reser ve Bank of
I ndia . I nvestors would prefer
the banks which outper for m
t h e g u i d a n c e o f R e s e r v e b a n k o f
I n d i a . T h e p a r a m e t e r s i d e n t i f i e d
u n d e r t h i s c l u s te r a re p e rce n t a g e
change in total assets, percentage
c h a n g e i n a d v a n c e s , p e r c e n t a g e
change in investments, percentage
change in deposits and percentage
change in net prof i ts .
Market Share –
M a r k e t s h a r e o f t h e b a n k i s a n
impor tant fac tor for future growth
o f t h e b a n k i n c u r r e n t g r o w i n g
e c o n o m y. A s p e r t h e l a t e s t 2 0 1 0
R B I s t a t i s t i c s o n l y 4 4 % o f c u r re n t
earning populat ion is having bank
account. The parameters ident i f ied
u n d e r t h i s c l u s te r a re m a r k e t s h a re o f a d va n ce s , m a r k e t
share of deposits and market share of business.
( F i g u r e 2 : D i a g r a m m a t i c r e p r e s e n t a t i o n o f A n a l y t i c a l
H ierarchical process)
Analyt ica l h ierarchicalProcess :Analytical hierarchy process is a procedural approach which
i nv o l v e s s t r u c t u r i n g o f m u l t i p l e o p t i o n s i n t o a s y s t e m .
AHP is a st ruc tured technique to solve complex decis ions.
m a k i n g p ro b l e m s. A H P Pro ce s s i n e va l u at i n g t h e ove ra l l
R ank ing of I ndian commercia l banks
A H P te c h n i q u e u s e s d i a gra m m at i c re p re s e nt at i o n i n t h e
form of h ierarchy as shown in the f igure below to model
real l i fe s i tuat ion.
The identi f ied parameters of di f ferent c luster in CAFELOGS
model are conver ted into a questionnaire format. The ques-
t ionnaire format was sent to capital market investment and
brok ing f i rms in I ndia . The responses was consol idated to
arr ive at the ranking of the different parameters . In order to
calculatethe re lat ive weight of d i f ferent c lusters and their
parameters , E igen Value method is used in th is paper.
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
16 17
Th e p a i r w i s e co m p a r i s o n w a s b a s e d u p o n s e ve n p o i n t w i s e
compar ison. The weightage of each c luster and parameters in
t h e c l u s te r i s i d e nt i f i e d a p a i r w i s e co m p a r i s o n a s s h ow n i n
A n n ex u re s . Th e co n s o l i d ate d we i g ht a g e o f t h e i d e nt i f i e d 3 2
parameters of CAFELOGS model are shown below table
The pr imar y data col lec ted is ranked according to charac ter is -
t ics of each parameter. The data under four parameter namely
G r o s s N o n - Pe r f o r m i n g A s s e t s ( G N PA ) , N e t N o n - p e r f o r m i n g
M ethodology to determine
P/B rat io for I ndian Bank ing
stocks
The c lose stock pr ices of
I ndian commercia l banks are
col lec ted f rom the Bombay
stock exchange. The aver-
ages of c lose pr ices of these
stocks are captured in a snap
shot per iod of one year. The
snap shot per iod date range
is f rom Apr i l 1st to March 31st
respec t ively. Book value is
repor ted in the audited f inan-
c ia l s tatement of the banks.
I t i s repor ted only once in
year in the Annual Repor t .
The Pr ice /Book value is
determined us ing the below
formula
Pr ice /Book value = Average
of c lose pr ices / Book value Results and Discuss ion
R ank ing and Pr ice/Book value
o f l i s te d s c h e d u l e d co m m e r-
cial banks are calculated as per
the above methodologies. The
ra n k s a s s i gn e d to e a c h b a n k
is studied over the given t ime
durat ion and re lat ive change
in the ranks are noted . I t was
i d e n t i f i e d t h a t i n a p p r o x i -
mately 70 % of the cases when
the ranks of the bank moved
in either direction the Pr ice to
book value a lso moved in the
same direc t ion . I n the below
d i a g r a m , t h e s u c c e s s r a t e o f
the correlat ion of rank ing and
p r i c e / b o o k v a l u e i s g i v e n .
I n 2 0 0 8 / 2 0 0 9 p e r i o d t h e
markets over reac ted because
of the global economic reces-
s i o n . D u r i n g t h a t p e r i o d t h e
model has a success rate of 66
% respec t ively. I n the case of
b a n k i n g t h e i n v e s t o r s g i v e s
a h i g h e r w e i g h t a g e t o t h e
b a n k i n g f u n d a m e n t a l r a t h e r
t h a n e c o n o m i c c o n d i t i o n s
during valuation of a commer-
c ia l bank ing stock in I ndia .
Conclus ion:
Th e re a re s e ve r a l a rg u m e n t s
f o r p e r f o r m a n c e r a n k i n g o f
Banks and the objec t ive of the
rank ing also differs from agenc y
to agency. Ranking banks per for-
mance from the investor`s point
of v iew is a complex process as
i t depends on quant i tat ive and
q u a l i t a t i v e p a r a m e t e r s . A l s o ,
the va luat ion the mar ket gives
f o r a b a n k s t o c k d e p e n d s o f
m u l t i p l e f a c to r s s u c h a s i nve s -
t o r p e rc e p t i o n , m a r k e t l i q u i d -
i t y, i n t e r e s t r a t e e n v i r o n m e n t
a n d c o u n t r i e s m a c r o e c o n o m i c
s c e n a r i o . T h r o u g h t h i s p a p e r,
we have shown that changes in
t h e ra n k i n g o b t a i n e d f ro m t h e
C A F É LO G S m o d e l a n d t h e c o r-
r e s p o n d i n g P / B V c h a n g e s a r e
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
18 19
more than 66% correlated. This may be because we have not considered the quantitat ive param-
eters such as the promoters background, change in management, corporate governance of the
bank , brand equit y of the bank and except ional cases l ike State bank group, i t ’s get suppor t in
terms of business form government . Fur ther research can be carr ied out by incorporat ing quan-
t i tat ive parameters, market condit ions and economic scenar ios which can lead to a model that
i s h ighly correlated with the market sent iments
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1. Saat y, T.L . (1980) , The Analyt ic H ierarchy Process, M cGraw-H i l l , New York
2. F I Cr i ter ia : Bank R at ing Analys is Methodology Prof i le, Standard and Poor (2004)
3 . Model ing bank credit rat ings A struc tural approach to M oody ’s (2007)
4 . Analys is of the ef f ic ienc y of Banks in M ontenegro us ing the AHP, Svet lana R akocevic, Facult y
of Economics Univers i t y of M ontenegro Podg or ica , Zde nk a D rag as e v ic , Facul t y of Economics
Univers i t y of Montenegro Podgor ica
5. Benchmark ing Per formance of Publ ic S ec tor Banks in I ndia , Bhagirathi Nayak and C Nahak
6 . Pa r a m e t e r s o f R a t i n g o f I n d i a n C o m m e r c i a l B a n k s - A c r i t i c a l A n a l y s i s , D r. M u k t a M a n i
, I nte r n at i o n a l J o u r n a l o f R e s e a rc h i n Co m m e rce, I T a n d M a n a g e m e nt , V O LU M E N O : 1 ( 2 0 1 1 ) ,
ISSUE NO. 2 ( JULY )
7. AHP based Model for Bank Per formance Evaluation and Rating,Tihomir Hunjak ,Drago Jakovčević,
ISAHP 2001, Berne, Switzer land, August 2-4 , 2001
I N F I N E E T I R e s e a r c h M a g a z i n e | A n n u a l I s s u e 2 0 1 1
20