Final_1.pdf

(Tuis.) #1
expAB= [1 1] – 1.1032 ×[0.75 1] = [.1726 –.1032]
expAC= [1 1] – 1.1613 ×[1 .75] = [–.1613 .129]

Step 5. Calculate the common factor portfolio variance/variance of residual
exposure.


Step 6. Calculate the specific variance of the portfolio.
To simplify our illustration, let us assume the specific variance for all of the
stocks to be 0.0016.


= .0016 + 1.1032^2 ×.0016 = .0035


= .0016 + 1.1613^2 ×.0016 = .0037


Step 7. Calculate the SNR ratio with white noise assumptions for residual
stock return.


SNRAC AC


AC

===cf
σ
σ

spec.

.

.


061


049


1 245


SNRAB AB


AB

===cf

σ
σ

spec.

.

.


059


046


1 282


σABspec==..0037 061

var()rrACspec =var()Aspec +γAC^2 var()rCspec

σABspec==..00035 059

var()rrABspec =var()Aspec +γAB^2 var()rBspec

σACcf ==..0024 049

var..

..


..


.


.


()rACcf =−[].







−






(^1613129) =


0625 0225


0225 1024


1613


129


0024


σABcf ==..0021 046

var..

..


..


.


.


()rABcf =−[].













(^17261032) =


0625 0225


0225 1024


1726


1032


0221


Pairs Selection in Equity Markets 101

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