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Measures of Predictive Success for Rating Functions

  • Sebastian Ostrowski

    ()

    (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)

  • Peter Reichling

    ()

    (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)

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    Aim of our paper is to develop an adequate measure of predictive success and accuracy of rating functions. At first, we show that the common measures of rating accuracy, i.e. area under curve and accuracy ratio, respectively, lack of informative value of single rating classes. Selten (1991) builds up an axiomatic framework for measures of predictive success. Therefore, we introduce a measure for rating functions that fulfills the axioms proposed by Selten (1991). Furthermore, an empirical investigation analyzes predictive power and accuracy of Standard & Poor's and Moody's ratings, and compares the rankings according to area under curve and our measure.

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    File URL: http://www.fww.ovgu.de/fww_media/femm/femm_2010/2010_18.pdf
    File Function: First version, 2010
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    Paper provided by Otto-von-Guericke University Magdeburg, Faculty of Economics and Management in its series FEMM Working Papers with number 100018.

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    Length: 20 pages
    Date of creation: Aug 2010
    Date of revision:
    Handle: RePEc:mag:wpaper:100018
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