Academics, policymakers, and bank supervisors have expressed considerable interest in using subordinated debt and other market data to aid in the surveillance of banking organizations, especially large and complex financial institutions. However, little research effort has been devoted to developing practical means of implementing such an approach for subordinated debt. This paper attempts to fill a portion of this gap.
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