Multivariate Analysis with T MVA Basic Concept and New Features
Analysis of Mva on Eva
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7/24/2019 Analysis of Mva on Eva
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Vari
able
s
(MVA vs
othe
r
vari
able
s)
Tata Motors Maruti Suzuki Mahindra & Mahindra
EVA Regression Statistics
Multiple R0.1258024
58
R Square
0.0158262
58
Adjusted RSquare
0.312231656
Stadard !rror4".8##615
11
$bservatios 5
Regression Statistics
Multiple R
R Square
Adjusted R Square %0.161414063
Stadard !rror
$bservatios
Regression Statistics
Multiple R0.#8"385
1#2
R Square
0.623128
"5Adjusted RSquare
0.4"#505266
Stadard!rror
6.03#4355#2
$bservatios 5
Sale
sRegression Statistics
Multiple R
R SquareAdjusted R Square
Stadard !rror
$bservatios
Regression Statistics
Multiple R
R SquareAdjusted R Square
Stadard !rror
$bservatios
Regression Statistics
Multiple R 0.6006
R Square 0.360#Adjusted R Square 0.14##
Stadard !rror #.8628
$bservatios
EPS Regression Statistics
Multiple R 0.22680"8##
R Square 0.051442#2
Adjusted R Square %0.264#4304
Stadard !rror 38."0281365
$bservatios
Regression Statistics
Multiple R 0.8""53646
R Square 0.80"165843
Adjusted R Square 0.#4555445#
Stadard !rror 14354.2#625
$bservatios
Regression Statistics
Multiple R
R Square
Adjusted R Square
Stadard !rror
$bservatios
ROI Regression StatisticsMultiple R 0."124883
R Square0.8326348
Adjusted RSquare
0.#48"523
Stadard !rror14.618668
Regression Statistics
Multiple R0.0343#41
4#
R Square0.0011815
82
Adjusted RSquare
0.4"822#62#
Regression Statistics
Multiple R0.0"0"044
55
R Square0.0082636
Adjusted RSquare
0.48#6045
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$bservatiosStadard !rror
101#4.#5345
$bservatios
Stadard !rror5.80#60#8
$bservatios
ROE Regression Statistics
Multiple R
0.8034430
R Square0.6455208
Adjusted RSquare
0.4682812
Stadard !rror21.2#505#
$bservatios
Regression Statistics
Multiple R
0.0365805
R Square0.0013381
Adjusted RSquare
0.4"#""2#
Stadard !rror101#3."56
$bservatios
Regression Statistics
Multiple R
0.##883052
R Square0.6065#6""
Adjusted RSquare 0.4#5435""
Stadard !rror6.1685"130
$bservatios
&he i'portat variables that 'ost a(e)t the MVA have bee 'etioed above. *as
)a be observed +ro' the e,)el sheets-.
It is found that more the alue of R s!uare" better the de#enden$% on
MVA
ata aal/sis is doe b/ usi Multiple iear Reressio hi)h is used to des)ribe
the deree o+ )orrelatio betee idepedet variables ith the depedet
variable ad is e,pressed ith var/i derees o+ relatioship )oe)iet o+
deter'iatio used to 'easure ho bi the idepedet variables )a e,plai the
depedet variable.
'h% EVA has hih $orrelation ith MVA i )ase Mahidra ad Mahidra
MVA is a absolute 'easure ad 'aret%to%boo ratio is a relative 'easure. 7+ MVA
is positive that 'eas that 'aret%to%boo ratio is 'ore tha oe. eative MVA
'eas 'aret%to%boo ratio less tha oe. 7+ a )o'pa/9s rate o+ retur e,)eeds its
)ost o+ )apital the )o'pa/ ill sell o the sto) 'arets ith pre'iu' )o'pared
to the oriial )apital *has positive MVA-. $ the other had )o'paies that have
rate o+ retur s'aller tha their )ost o+ )apital sell ith dis)out )o'pared to the
oriial )apital ivested i )o'pa/.
:oever +or )o'paies ith a eative !VA the asso)iatio be)o'es less obvious
be)ause o+ the i)reased probabilit/ o+ liquidatio or a)quisitio hi)h sets a loer
li'it o the 'aret value o+ these )o'paies.
7 thi that si)e the pri)iple obje)tive is to 'a,i'i;e shareholder value )reatio
the best a/ to 'a,i'i;e MVA is to 'a,i'i;e !VA.
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'h% !
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