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XLeratorDB/financial Documentation

SQL Server Information ratio function


INFORATIO

Updated: 21 December 2012


Use INFORATIO to calculate the Information ratio based upon return data. You have the option of computing the Information ratio using either simple returns or geometric returns. For simple returns, the Information ratio is calculated as the mean difference of the returns divided by the standard deviation of the differences multiplied by the square root of a scale factor supplied to the function. For daily returns the scale factor might be 252; for weekly returns 52; for monthly returns 12. For the sake of consistency, the risk-free rate should be in the same units as the scaling factor.

formula for INORATIO function for SQL Server
 
For geometric returns, the Information ratio is calculated as the difference in the geometric mean of the return and the geometric mean of the benchmark, divided by the square root of the scaling factor times the standard deviation.

Syntax
XLeratorDB syntax for INFORATIO function for SQL Server
Arguments
@R
the return value; the percentage return in floating point format (i.e. 10% = 0.10). @R is an expression of type float or of a type that can be implicitly converted to float.
@RF
the risk-free rate. @RF is an expression of type float or of a type that can be implicitly converted to float.
@Scale
the scaling factor used in the calculation. @Scale is an expression of type float or of a type that can be implicitly converted to float.
@Geometric
identifies whether or not to use geometric returns in the calculation. @Geometric is an expression of type bit or of a type that can be implicitly converted to bit.
Return Type
float
Remarks
·         If @Geometric IS NULL then @Geometric is set equal to 'False'.
·         If @Scale IS NULL them @Scale is set to 1.
·         For daily returns set @Scale = 252.
·         For weekly returns set @Scale = 52.
·         For monthly returns set @Scale = 12.
·         For quarterly returns set @Scale = 4.
·         To calculate the Information ratio using price data or portfolio values, use the INFORATIO2 aggregate function.
·         @Geometric must be the same for all rows in the GROUP BY
·         @Scale must the same for all rows in the GROUP BY.
·         Available in XLeratorDB / financial 2008 only
Examples
In this example we have return data for IBM and we want to calculate the simple Information ratio using the S&P 500 returns as a benchmark.
SELECT wct.INFORATIO(r,rb,252,'False') as INFORATIO
FROM (VALUES
      ('IBM','2012-12-18',0.0107,0.0115),
      ('IBM','2012-12-17',0.0097,0.0119),
      ('IBM','2012-12-14',-0.0012,-0.0041),
      ('IBM','2012-12-13',-0.005,-0.0063),
      ('IBM','2012-12-12',-0.0064,0.0004),
      ('IBM','2012-12-11',0.0082,0.0065),
      ('IBM','2012-12-10',0.0035,0.0003),
      ('IBM','2012-12-07',0.0119,0.0029),
      ('IBM','2012-12-06',0.0056,0.0033),
      ('IBM','2012-12-05',-0.0037,0.0016),
      ('IBM','2012-12-04',-0.0006,-0.0017),
      ('IBM','2012-12-03',-0.0031,-0.0047),
      ('IBM','2012-11-30',-0.0076,0.0002),
      ('IBM','2012-11-29',-0.0023,0.0043),
      ('IBM','2012-11-28',0.0039,0.0079),
      ('IBM','2012-11-27',-0.0086,-0.0052),
      ('IBM','2012-11-26',-0.0032,-0.002),
      ('IBM','2012-11-23',0.0168,0.013),
      ('IBM','2012-11-21',0.0058,0.0023),
      ('IBM','2012-11-20',-0.006,0.0007),
      ('IBM','2012-11-19',0.0182,0.0199),
      ('IBM','2012-11-16',0.0059,0.0048),
      ('IBM','2012-11-15',0.0018,-0.0016),
      ('IBM','2012-11-14',-0.0149,-0.0139),
      ('IBM','2012-11-13',-0.0049,-0.004),
      ('IBM','2012-11-12',-0.0021,0.0001),
      ('IBM','2012-11-09',-0.0024,0.0017),
      ('IBM','2012-11-08',-0.0055,-0.0122),
      ('IBM','2012-11-07',-0.0158,-0.0237),
      ('IBM','2012-11-06',0.0048,0.0079),
      ('IBM','2012-11-05',0.0036,0.0022),
      ('IBM','2012-11-02',-0.0188,-0.0094),
      ('IBM','2012-11-01',0.0135,0.0109)
)n(ticker,tdate,r,rb)
This produces the following result.
             INFORATIO
----------------------
     -1.46734740387312
In this example, we use weekly returns and calculate the Information ratio using geometric returns.
SELECT wct.INFORATIO(r,rb,52,'True') as INFORATIO
FROM (VALUES
      ('IBM','2012-12-17',0.0173,0.0157),
      ('IBM','2012-12-10',-0.001,-0.0032),
      ('IBM','2012-12-03',0.0099,0.0013),
      ('IBM','2012-11-26',-0.0177,0.005),
      ('IBM','2012-11-19',0.035,0.0362),
      ('IBM','2012-11-12',-0.0142,-0.0145),
      ('IBM','2012-11-05',-0.0153,-0.0243),
      ('IBM','2012-10-31',0.0008,0.0016),
      ('IBM','2012-10-22',-0.0005,-0.0148),
      ('IBM','2012-10-15',-0.0695,0.0032),
      ('IBM','2012-10-08',-0.0133,-0.0221),
      ('IBM','2012-10-01',0.0151,0.0141),
      ('IBM','2012-09-24',0.0072,-0.0133),
      ('IBM','2012-09-17',-0.004,-0.0038),
      ('IBM','2012-09-10',0.0367,0.0194),
      ('IBM','2012-09-04',0.0239,0.0223),
      ('IBM','2012-08-27',-0.0148,-0.0032),
      ('IBM','2012-08-20',-0.0171,-0.005),
      ('IBM','2012-08-13',0.0097,0.0087),
      ('IBM','2012-08-06',0.0082,0.0107),
      ('IBM','2012-07-30',0.0108,0.0036),
      ('IBM','2012-07-23',0.0204,0.0171),
      ('IBM','2012-07-16',0.0347,0.0043),
      ('IBM','2012-07-09',-0.0282,0.0016),
      ('IBM','2012-07-02',-0.0213,-0.0055),
      ('IBM','2012-06-25',0.0097,0.0203),
      ('IBM','2012-06-18',-0.0271,-0.0058),
      ('IBM','2012-06-11',0.0203,0.013),
      ('IBM','2012-06-04',0.032,0.0373),
      ('IBM','2012-05-29',-0.0268,-0.0302),
      ('IBM','2012-05-21',-0.0081,0.0174),
      ('IBM','2012-05-14',-0.0263,-0.043),
      ('IBM','2012-05-07',-0.0145,-0.0115),
      ('IBM','2012-04-30',-0.0088,-0.0244),
      ('IBM','2012-04-23',0.0361,0.018),
      ('IBM','2012-04-16',-0.0158,0.006),
      ('IBM','2012-04-09',-0.013,-0.0199),
      ('IBM','2012-04-02',-0.0152,-0.0074),
      ('IBM','2012-03-26',0.0154,0.0081),
      ('IBM','2012-03-19',-0.0026,-0.005),
      ('IBM','2012-03-12',0.0269,0.0243),
      ('IBM','2012-03-05',0.0091,0.0009),
      ('IBM','2012-02-27',0.0053,0.0028),
      ('IBM','2012-02-21',0.0224,0.0033),
      ('IBM','2012-02-13',0.0052,0.0138),
      ('IBM','2012-02-06',-0.0024,-0.0017),
      ('IBM','2012-01-30',0.0167,0.0217),
      ('IBM','2012-01-23',0.0103,0.0007),
      ('IBM','2012-01-17',0.0523,0.0204),
      ('IBM','2012-01-09',-0.0185,0.0088)
)n(ticker,tdate,r,rb)
This produces the following result.
             INFORATIO
----------------------
    -0.306715002435703
In this example, we look at monthly returns for several different symbols and group the results by symbol. The bench mark is the S&P 500 and is included in the same table as the other returns.
SELECT *
INTO #s
FROM (VALUES
      ('IBM','2012-12-03',0.0264),
      ('IBM','2012-11-01',-0.0186),
      ('IBM','2012-10-01',-0.0623),
      ('IBM','2012-09-04',0.0647),
      ('IBM','2012-08-01',-0.0015),
      ('IBM','2012-07-02',0.0021),
      ('IBM','2012-06-01',0.0139),
      ('IBM','2012-05-01',-0.0646),
      ('IBM','2012-04-02',-0.0075),
      ('IBM','2012-03-01',0.0605),
      ('IBM','2012-02-01',0.0254),
      ('IBM','2012-01-03',0.0474),
      ('IBM','2011-12-01',-0.0219),
      ('MSFT','2012-12-03',0.0259),
      ('MSFT','2012-11-01',-0.0597),
      ('MSFT','2012-10-01',-0.041),
      ('MSFT','2012-09-04',-0.0343),
      ('MSFT','2012-08-01',0.0527),
      ('MSFT','2012-07-02',-0.0365),
      ('MSFT','2012-06-01',0.048),
      ('MSFT','2012-05-01',-0.0823),
      ('MSFT','2012-04-02',-0.0076),
      ('MSFT','2012-03-01',0.0164),
      ('MSFT','2012-02-01',0.0818),
      ('MSFT','2012-01-03',0.1374),
      ('MSFT','2011-12-01',0.0149),
      ('GOOG','2012-12-03',0.0311),
      ('GOOG','2012-11-01',0.0266),
      ('GOOG','2012-10-01',-0.0983),
      ('GOOG','2012-09-04',0.1013),
      ('GOOG','2012-08-01',0.0823),
      ('GOOG','2012-07-02',0.0912),
      ('GOOG','2012-06-01',-0.0014),
      ('GOOG','2012-05-01',-0.0397),
      ('GOOG','2012-04-02',-0.0567),
      ('GOOG','2012-03-01',0.0372),
      ('GOOG','2012-02-01',0.0657),
      ('GOOG','2012-01-03',-0.1019),
      ('GOOG','2011-12-01',0.0776),
      ('AAPL','2012-12-03',-0.1008),
      ('AAPL','2012-11-01',-0.0124),
      ('AAPL','2012-10-01',-0.1076),
      ('AAPL','2012-09-04',0.0028),
      ('AAPL','2012-08-01',0.0939),
      ('AAPL','2012-07-02',0.0458),
      ('AAPL','2012-06-01',0.0109),
      ('AAPL','2012-05-01',-0.0107),
      ('AAPL','2012-04-02',-0.026),
      ('AAPL','2012-03-01',0.1053),
      ('AAPL','2012-02-01',0.1883),
      ('AAPL','2012-01-03',0.1271),
      ('AAPL','2011-12-01',0.0597),
      ('ORCL','2012-12-03',0.0653),
      ('ORCL','2012-11-01',0.0353),
      ('ORCL','2012-10-01',-0.0099),
      ('ORCL','2012-09-04',-0.006),
      ('ORCL','2012-08-01',0.048),
      ('ORCL','2012-07-02',0.0187),
      ('ORCL','2012-06-01',0.122),
      ('ORCL','2012-05-01',-0.0996),
      ('ORCL','2012-04-02',0.0104),
      ('ORCL','2012-03-01',-0.0035),
      ('ORCL','2012-02-01',0.0373),
      ('ORCL','2012-01-03',0.102),
      ('ORCL','2011-12-01',-0.1818),
      ('SP500','2012-12-03',0.0139),
      ('SP500','2012-11-01',0.0028),
      ('SP500','2012-10-01',-0.0198),
      ('SP500','2012-09-04',0.0242),
      ('SP500','2012-08-01',0.0198),
      ('SP500','2012-07-02',0.0126),
      ('SP500','2012-06-01',0.0396),
      ('SP500','2012-05-01',-0.0627),
      ('SP500','2012-04-02',-0.0075),
      ('SP500','2012-03-01',0.0313),
      ('SP500','2012-02-01',0.0406),
      ('SP500','2012-01-03',0.0436),
      ('SP500','2011-12-01',0.0085)
      )n(ticker,tdate,r)
 
SELECT s1.ticker
,wct.INFORATIO(s1.r,s2.r,12,'True') as INFORATIO
FROM #s s1
LEFT JOIN #s s2
ON s2.tdate = s1.tdate
AND s2.ticker = 'SP500'
AND s2.ticker != s1.ticker
GROUP BY s1.ticker
This produces the following result.
ticker              INFORATIO
------ ----------------------
AAPL        0.846651552965962
GOOG         0.19596016867133
IBM         -1.06983418710471
MSFT       -0.326909876893741
ORCL        -0.19108915300652
SP500                    NULL
 
See Also


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