Login     Register

        Contact Us     Search

Menu

XLeratorDB/financial Documentation

SQL Server co-kurtosis of asset returns


FinCoKurt

Updated: 31 January 2016


Use the aggregate function FinCoKurt to calculate the cokurtosis of an asset return and a benchmark return. FinCoKurt is calculated as:

Where

Ra
=
asset return
Rb
=
benchmark return
Ra
=
average asset return
Rb
=
average benchmark return
n
=
number of observations

Syntax
SELECT [wct].[FinCoKurt](
  <@Ra, float,>
 ,<@Rb, float,>)
Arguments
@Ra
the asset return for a period; the percentage return in floating point format (i.e. 10% = 0.10). @Ra is an expression of type float or of a type that can be implicitly converted to float.
@ Rb
the benchmark return for a period; the percentage return in floating point format (i.e. 10% = 0.10). @Rb is an expression of type float or of a type that can be implicitly converted to float.
Return Type
float
Remarks
·         If @Ra IS NULL or @Rb IS NULL then that row is not included in the calculation.
·         If n = 0 then NULL is returned.
·         Available in XLeratorDB / financial 2008 only
Examples
In this example we have returns for an asset and its benchmark for the last three years.
SELECT
   wct.FinCoKurt(Ra,Rb) as FinCoKurt
FROM (VALUES
    ('2012-12-31',0.001378,-0.003929)
   ,('2013-01-31',0.028677,-0.001701)
   ,('2013-02-28',0.005801,0.003165)
   ,('2013-03-31',0.01442,-0.006487)
   ,('2013-04-30',0.00229,-0.004653)
   ,('2013-05-31',0.014905,0.009577)
   ,('2013-06-30',0.008594,0.00588)
   ,('2013-07-31',0.011531,0.005089)
   ,('2013-08-31',0.008268,0.005233)
   ,('2013-09-30',0.013993,-0.004338)
   ,('2013-10-31',0.009147,-0.006109)
   ,('2013-11-30',-0.00316,-0.002222)
   ,('2013-12-31',-0.00595,0.005451)
   ,('2014-01-31',0.013398,-0.008099)
   ,('2014-02-28',0.002847,-0.000299)
   ,('2014-03-31',-0.009544,-0.009809)
   ,('2014-04-30',0.002516,0.008875)
   ,('2014-05-31',0.004626,-0.002681)
   ,('2014-06-30',-0.002141,0.000312)
   ,('2014-07-31',0.009247,0.00936)
   ,('2014-08-31',-0.01253,0.005434)
   ,('2014-09-30',0.00441,0.008157)
   ,('2014-10-31',0.01626,-0.006766)
   ,('2014-11-30',0.013207,0.005742)
   ,('2014-12-31',-0.008561,-0.005063)
   ,('2015-01-31',0.012357,0.004357)
   ,('2015-02-28',-0.002057,-0.00044)
   ,('2015-03-31',0.008217,-0.004866)
   ,('2015-04-30',-0.013439,-0.007649)
   ,('2015-05-31',0.004391,-0.002073)
   ,('2015-06-30',-0.008997,0.00399)
   ,('2015-07-31',-0.001878,-0.00613)
   ,('2015-08-31',-0.014381,-0.00351)
   ,('2015-09-30',-0.001885,0.001172)
   ,('2015-10-31',-0.001121,-0.000024)
   ,('2015-11-30',0.000816,0.002596)
   ,('2015-12-31',-0.003088,-0.009025)
   )n(dt,Ra,Rb)

This produces the following result.


In this example we have 6 managers plus a benchmark stored in the #managers table which is in 'spreadsheet' format.
SELECT
   *
INTO
   #managers
FROM (VALUES
    ('2012-12-31',-0.002546,NULL,NULL,0.003006,NULL,0.005007,-0.001839)
   ,('2013-01-31',0.00977,NULL,NULL,0.001,NULL,-0.007579,0.008614)
   ,('2013-02-28',0.024726,NULL,NULL,0.005703,NULL,0.006496,-0.004624)
   ,('2013-03-31',0.000942,NULL,NULL,0.007578,NULL,0.008333,0.005031)
   ,('2013-04-30',0.022139,NULL,NULL,0.007118,NULL,-0.007312,-0.005431)
   ,('2013-05-31',0.019449,NULL,NULL,0.005659,NULL,-0.003902,-0.001878)
   ,('2013-06-30',-0.007964,NULL,NULL,0.003757,NULL,-0.001899,-0.00706)
   ,('2013-07-31',-0.008262,-0.002824,NULL,0.003762,NULL,-0.007347,-0.001982)
   ,('2013-08-31',0.009617,0.007319,NULL,0.0022,NULL,-0.002116,0.003867)
   ,('2013-09-30',-0.004118,0.004128,NULL,0.001394,NULL,0.008333,0.001356)
   ,('2013-10-31',0.010754,-0.001578,NULL,0.003483,NULL,-0.004724,-0.001342)
   ,('2013-11-30',0.002402,0.020835,NULL,0.001,NULL,0.003954,-0.000306)
   ,('2013-12-31',0.004581,0.015689,NULL,0.002146,NULL,0.008333,0.001118)
   ,('2014-01-31',-0.00055,-0.001027,-0.008245,0.00732,NULL,0.004025,-0.007227)
   ,('2014-02-28',-0.001512,0.001653,-0.009029,0.009919,NULL,-0.008333,-0.003878)
   ,('2014-03-31',0.008784,0.004364,-0.011608,0.001,NULL,-0.008333,-0.004822)
   ,('2014-04-30',0.008412,-0.012369,-0.004692,0.004536,NULL,-0.006303,0.004306)
   ,('2014-05-31',0.003945,0.010651,-0.016833,0.001,NULL,-0.007974,0.005221)
   ,('2014-06-30',0.012371,0.01773,-0.010384,0.010593,NULL,-0.004781,-0.000731)
   ,('2014-07-31',0.011915,0.004308,-0.012965,0.001,NULL,0.007751,-0.009239)
   ,('2014-08-31',-0.013738,0.00039,0.000009,0.005139,0.001,-0.003319,-0.003636)
   ,('2014-09-30',-0.004081,0.01968,-0.008214,0.007976,0.001,-0.003799,0.005563)
   ,('2014-10-31',0.01608,0.015291,-0.002969,0.01303,0.001,-0.004645,0.001599)
   ,('2014-11-30',0.011241,0.012312,0.007088,0.00384,0.000852,0.006783,-0.008487)
   ,('2014-12-31',-0.004251,0.008737,-0.013576,0.001,0.001,-0.0034,0.001013)
   ,('2015-01-31',-0.004039,0.012938,-0.011891,0.004576,0.001,-0.004195,-0.002653)
   ,('2015-02-28',0.026326,0.019695,-0.013178,0.010737,0.001,0.006418,-0.00952)
   ,('2015-03-31',-0.000628,0.008029,0.005917,0.017461,0.00048,-0.00501,0.007879)
   ,('2015-04-30',0.005688,0.01249,-0.018813,0.001,-0.002104,0.003657,0.009886)
   ,('2015-05-31',0.010039,0.008442,-0.01465,0.001,0.001,0.001024,0.001695)
   ,('2015-06-30',-0.004267,0.001391,-0.022504,0.003104,0.001,-0.003507,0.009854)
   ,('2015-07-31',-0.001672,0.020558,-0.011859,0.001,0.001,NULL,0.008361)
   ,('2015-08-31',0.015726,0.017419,-0.004556,0.001,-0.000462,NULL,-0.007253)
   ,('2015-09-30',0.001977,0.007301,-0.00811,0.013011,-0.001032,NULL,0.009911)
   ,('2015-10-31',0.016201,0.00877,-0.005536,0.014527,-0.000833,NULL,0.009897)
   ,('2015-11-30',0.019996,-0.000785,-0.002161,0.001947,0.001,NULL,-0.007307)
   ,('2015-12-31',-0.003254,0.009595,-0.013785,0.001,0.001,NULL,0.007196)
   )n(dt,man1,man2,man3,man4,man5,man6,bmark)


To calculate the cokurtosis for each manager against the benchmark we run the following SQL.
SELECT
   wct.FinCoKurt(man1,bmark) as man1
   ,wct.FinCoKurt(man2,bmark) as man2
   ,wct.FinCoKurtman3,bmark) as man3   
   ,wct.FinCoKurt(man4,bmark) as man4   
   ,wct.FinCoKurt(man5,bmark) as man5   
   ,wct.FinCoKurt(man6,bmark) as man6
FROM
   #managers

This produces the following result.


Using the same data from the previous example in the #nmanagers table which is in 3rd normal form we perform the same calculation.
SELECT
   *
INTO
   #nmanagers
FROM (VALUES
    ('2012-12-31','man1',-0.002546)
   ,('2012-12-31','man4',0.003006)
   ,('2012-12-31','man6',0.005007)
   ,('2012-12-31','bmark',-0.001839)
   ,('2013-01-31','man1',0.009770)
   ,('2013-01-31','man4',0.001000)
   ,('2013-01-31','man6',-0.007579)
   ,('2013-01-31','bmark',0.008614)
   ,('2013-02-28','man1',0.024726)
   ,('2013-02-28','man4',0.005703)
   ,('2013-02-28','man6',0.006496)
   ,('2013-02-28','bmark',-0.004624)
   ,('2013-03-31','man1',0.000942)
   ,('2013-03-31','man4',0.007578)
   ,('2013-03-31','man6',0.008333)
   ,('2013-03-31','bmark',0.005031)
   ,('2013-04-30','man1',0.022139)
   ,('2013-04-30','man4',0.007118)
   ,('2013-04-30','man6',-0.007312)
   ,('2013-04-30','bmark',-0.005431)
   ,('2013-05-31','man1',0.019449)
   ,('2013-05-31','man4',0.005659)
   ,('2013-05-31','man6',-0.003902)
   ,('2013-05-31','bmark',-0.001878)
   ,('2013-06-30','man1',-0.007964)
   ,('2013-06-30','man4',0.003757)
   ,('2013-06-30','man6',-0.001899)
   ,('2013-06-30','bmark',-0.007060)
   ,('2013-07-31','man1',-0.008262)
   ,('2013-07-31','man2',-0.002824)
   ,('2013-07-31','man4',0.003762)
   ,('2013-07-31','man6',-0.007347)
   ,('2013-07-31','bmark',-0.001982)
   ,('2013-08-31','man1',0.009617)
   ,('2013-08-31','man2',0.007319)
   ,('2013-08-31','man4',0.002200)
   ,('2013-08-31','man6',-0.002116)
   ,('2013-08-31','bmark',0.003867)
   ,('2013-09-30','man1',-0.004118)
   ,('2013-09-30','man2',0.004128)
   ,('2013-09-30','man4',0.001394)
   ,('2013-09-30','man6',0.008333)
   ,('2013-09-30','bmark',0.001356)
   ,('2013-10-31','man1',0.010754)
   ,('2013-10-31','man2',-0.001578)
   ,('2013-10-31','man4',0.003483)
   ,('2013-10-31','man6',-0.004724)
   ,('2013-10-31','bmark',-0.001342)
   ,('2013-11-30','man1',0.002402)
   ,('2013-11-30','man2',0.020835)
   ,('2013-11-30','man4',0.001000)
   ,('2013-11-30','man6',0.003954)
   ,('2013-11-30','bmark',-0.000306)
   ,('2013-12-31','man1',0.004581)
   ,('2013-12-31','man2',0.015689)
   ,('2013-12-31','man4',0.002146)
   ,('2013-12-31','man6',0.008333)
   ,('2013-12-31','bmark',0.001118)
   ,('2014-01-31','man1',-0.000550)
   ,('2014-01-31','man2',-0.001027)
   ,('2014-01-31','man3',-0.008245)
   ,('2014-01-31','man4',0.007320)
   ,('2014-01-31','man6',0.004025)
   ,('2014-01-31','bmark',-0.007227)
   ,('2014-02-28','man1',-0.001512)
   ,('2014-02-28','man2',0.001653)
   ,('2014-02-28','man3',-0.009029)
   ,('2014-02-28','man4',0.009919)
   ,('2014-02-28','man6',-0.008333)
   ,('2014-02-28','bmark',-0.003878)
   ,('2014-03-31','man1',0.008784)
   ,('2014-03-31','man2',0.004364)
   ,('2014-03-31','man3',-0.011608)
   ,('2014-03-31','man4',0.001000)
   ,('2014-03-31','man6',-0.008333)
   ,('2014-03-31','bmark',-0.004822)
   ,('2014-04-30','man1',0.008412)
   ,('2014-04-30','man2',-0.012369)
   ,('2014-04-30','man3',-0.004692)
   ,('2014-04-30','man4',0.004536)
   ,('2014-04-30','man6',-0.006303)
   ,('2014-04-30','bmark',0.004306)
   ,('2014-05-31','man1',0.003945)
   ,('2014-05-31','man2',0.010651)
   ,('2014-05-31','man3',-0.016833)
   ,('2014-05-31','man4',0.001000)
   ,('2014-05-31','man6',-0.007974)
   ,('2014-05-31','bmark',0.005221)
   ,('2014-06-30','man1',0.012371)
   ,('2014-06-30','man2',0.017730)
   ,('2014-06-30','man3',-0.010384)
   ,('2014-06-30','man4',0.010593)
   ,('2014-06-30','man6',-0.004781)
   ,('2014-06-30','bmark',-0.000731)
   ,('2014-07-31','man1',0.011915)
   ,('2014-07-31','man2',0.004308)
   ,('2014-07-31','man3',-0.012965)
   ,('2014-07-31','man4',0.001000)
   ,('2014-07-31','man6',0.007751)
   ,('2014-07-31','bmark',-0.009239)
   ,('2014-08-31','man1',-0.013738)
   ,('2014-08-31','man2',0.000390)
   ,('2014-08-31','man3',0.000009)
   ,('2014-08-31','man4',0.005139)
   ,('2014-08-31','man5',0.001000)
   ,('2014-08-31','man6',-0.003319)
   ,('2014-08-31','bmark',-0.003636)
   ,('2014-09-30','man1',-0.004081)
   ,('2014-09-30','man2',0.019680)
   ,('2014-09-30','man3',-0.008214)
   ,('2014-09-30','man4',0.007976)
   ,('2014-09-30','man5',0.001000)
   ,('2014-09-30','man6',-0.003799)
   ,('2014-09-30','bmark',0.005563)
   ,('2014-10-31','man1',0.016080)
   ,('2014-10-31','man2',0.015291)
   ,('2014-10-31','man3',-0.002969)
   ,('2014-10-31','man4',0.013030)
   ,('2014-10-31','man5',0.001000)
   ,('2014-10-31','man6',-0.004645)
   ,('2014-10-31','bmark',0.001599)
   ,('2014-11-30','man1',0.011241)
   ,('2014-11-30','man2',0.012312)
   ,('2014-11-30','man3',0.007088)
   ,('2014-11-30','man4',0.003840)
   ,('2014-11-30','man5',0.000852)
   ,('2014-11-30','man6',0.006783)
   ,('2014-11-30','bmark',-0.008487)
   ,('2014-12-31','man1',-0.004251)
   ,('2014-12-31','man2',0.008737)
   ,('2014-12-31','man3',-0.013576)
   ,('2014-12-31','man4',0.001000)
   ,('2014-12-31','man5',0.001000)
   ,('2014-12-31','man6',-0.003400)
   ,('2014-12-31','bmark',0.001013)
   ,('2015-01-31','man1',-0.004039)
   ,('2015-01-31','man2',0.012938)
   ,('2015-01-31','man3',-0.011891)
   ,('2015-01-31','man4',0.004576)
   ,('2015-01-31','man5',0.001000)
   ,('2015-01-31','man6',-0.004195)
   ,('2015-01-31','bmark',-0.002653)
   ,('2015-02-28','man1',0.026326)
   ,('2015-02-28','man2',0.019695)
   ,('2015-02-28','man3',-0.013178)
   ,('2015-02-28','man4',0.010737)
   ,('2015-02-28','man5',0.001000)
   ,('2015-02-28','man6',0.006418)
   ,('2015-02-28','bmark',-0.009520)
   ,('2015-03-31','man1',-0.000628)
   ,('2015-03-31','man2',0.008029)
   ,('2015-03-31','man3',0.005917)
   ,('2015-03-31','man4',0.017461)
   ,('2015-03-31','man5',0.000480)
   ,('2015-03-31','man6',-0.005010)
   ,('2015-03-31','bmark',0.007879)
   ,('2015-04-30','man1',0.005688)
   ,('2015-04-30','man2',0.012490)
   ,('2015-04-30','man3',-0.018813)
   ,('2015-04-30','man4',0.001000)
   ,('2015-04-30','man5',-0.002104)
   ,('2015-04-30','man6',0.003657)
   ,('2015-04-30','bmark',0.009886)
   ,('2015-05-31','man1',0.010039)
   ,('2015-05-31','man2',0.008442)
   ,('2015-05-31','man3',-0.014650)
   ,('2015-05-31','man4',0.001000)
   ,('2015-05-31','man5',0.001000)
   ,('2015-05-31','man6',0.001024)
   ,('2015-05-31','bmark',0.001695)
   ,('2015-06-30','man1',-0.004267)
   ,('2015-06-30','man2',0.001391)
   ,('2015-06-30','man3',-0.022504)
   ,('2015-06-30','man4',0.003104)
   ,('2015-06-30','man5',0.001000)
   ,('2015-06-30','man6',-0.003507)
   ,('2015-06-30','bmark',0.009854)
   ,('2015-07-31','man1',-0.001672)
   ,('2015-07-31','man2',0.020558)
   ,('2015-07-31','man3',-0.011859)
   ,('2015-07-31','man4',0.001000)
   ,('2015-07-31','man5',0.001000)
   ,('2015-07-31','bmark',0.008361)
   ,('2015-08-31','man1',0.015726)
   ,('2015-08-31','man2',0.017419)
   ,('2015-08-31','man3',-0.004556)
   ,('2015-08-31','man4',0.001000)
   ,('2015-08-31','man5',-0.000462)
   ,('2015-08-31','bmark',-0.007253)
   ,('2015-09-30','man1',0.001977)
   ,('2015-09-30','man2',0.007301)
   ,('2015-09-30','man3',-0.008110)
   ,('2015-09-30','man4',0.013011)
   ,('2015-09-30','man5',-0.001032)
   ,('2015-09-30','bmark',0.009911)
   ,('2015-10-31','man1',0.016201)
   ,('2015-10-31','man2',0.008770)
   ,('2015-10-31','man3',-0.005536)
   ,('2015-10-31','man4',0.014527)
   ,('2015-10-31','man5',-0.000833)
   ,('2015-10-31','bmark',0.009897)
   ,('2015-11-30','man1',0.019996)
   ,('2015-11-30','man2',-0.000785)
   ,('2015-11-30','man3',-0.002161)
   ,('2015-11-30','man4',0.001947)
   ,('2015-11-30','man5',0.001000)
   ,('2015-11-30','bmark',-0.007307)
   ,('2015-12-31','man1',-0.003254)
   ,('2015-12-31','man2',0.009595)
   ,('2015-12-31','man3',-0.013785)
   ,('2015-12-31','man4',0.001000)
   ,('2015-12-31','man5',0.001000)
   ,('2015-12-31','bmark',0.007196)
)n(dt,man,R)
SELECT
    m.man as manager
   ,wct.FinCoKurt(m.r, b.r) as CoKurt
FROM
   #nmanagers m
INNER JOIN
   #nmanagers b
ON
   m.dt = b.dt
WHERE
   m.man <> 'bmark'
   AND b.man = 'bmark'
GROUP BY
   m.man

This produces the following result.

 

See Also

 



View Topic History
Copyright 2008-2024 Westclintech LLC         Privacy Policy        Terms of Service