This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.


Calculate information ratio for one or more assets


Ratio = inforatio(Asset,Benchmark)
[Ratio,TE] = inforatio(Asset,Benchmark)



NUMSAMPLES-by-NUMSERIES matrix with NUMSAMPLES observations of asset returns for NUMSERIES asset return series.


NUMSAMPLES vector of returns for a benchmark asset. The periodicity must be the same as the periodicity of Asset. For example, if Asset is monthly data, then Benchmark must be monthly returns.


Given NUMSERIES assets with NUMSAMPLES returns for each asset in a NUMSAMPLES x NUMSERIES matrix Asset and given a NUMSAMPLES vector of benchmark returns in Benchmark, inforatio computes the information ratio and tracking error for each asset relative to the Benchmark.

To summarize the outputs of inforatio:

  • Ratio is a 1 x NUMSERIES row vector of information ratios for each series in Asset. Any series in Asset with a tracking error of 0 has a NaN value for its information ratio.

  • TE is a 1 x NUMSERIES row vector of tracking errors, that is, the standard deviation of Asset relative to Benchmark returns, for each series.

    Note:   NaN values in the data are ignored. If the Asset and Benchmark series are identical, the information ratio is NaN since the tracking error is 0. The information ratio and the Sharpe ratio of an Asset versus a riskless Benchmark (a Benchmark with standard deviation of returns equal to 0) are equivalent. This equivalence is not necessarily true if the Benchmark is risky.


See Information Ratio.


Richard C. Grinold and Ronald N. Kahn. Active Portfolio Management. 2nd. Edition. McGraw-Hill, 2000.

Jack Treynor and Fischer Black. "How to Use Security Analysis to Improve Portfolio Selection." Journal of Business. Vol. 46, No. 1, January 1973, pp. 66–86.

Introduced in R2006b

Was this topic helpful?