Final_1.pdf

(Tuis.) #1

Step 1: Calculate the common factor variance and covariance.


(sqrt(.2099) is the volatility, 45.8%

(volatility of 41.3%)

(volatility of 39.2%)

Step 2: Calculate the correlation (absolute value of correlation is the distance
measure).


If we have to choose one pair for purposes of trading, based on the distance
measure, our choice would therefore be the pair (A,B).


Step 3: Calculate the cointegration coefficient. A detailed discussion on the
reasoning for the formula is provided in the next chapter.


Step 4: Calculate the residual common factor exposure in the paired port-
folio. This is the exposure that causes mean drift.


λAC

AC


C


===


cov( )
var( )

.


.


.


1787


1539


1 1613


λAB

AB


B


===


cov( )
var( )

.


.


.


1887


171


1 1032


corrAC

AC


AC


,


cov ,

var var

.


..


()=.


()


() ()


=


×


=


0 1787


2099 171539


0 9431


corrAB

AB


AB


,


cov ,

var var

.


..


()=.


()


() ()


=


×


=


0 1887


2099 171


0 9957


cov( , )

..


...


AC=[].













(^11) =


0625 0225


0225 1024


1


75


1787


cov( , )

..


..


.


AB=[].













(^11) =


0625 0225


0225 1024


75


1


1887


var( ).

..


...


C =[].













(^175) =


0625 0225


0225 1024


1


75


1539


var( ).

..


..


.


B=[].













(^751) =


0625 0225


0225 1024


075


1


171


var( )

..


..


A =[].













(^11) =


0625 0225


0225 1024


1


1


2099


100 STATISTICAL ARBITRAGE PAIRS

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