Estimating probabilities of default
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Author
Contributions
- Hanson, Samuel - Contributor
- Federal Reserve Bank of New York. - Contributor
Publication
2004 - Federal Reserve Bank of New York, New York, N.Y., New York (State)
Language
English
Word Count
0 words, Guess
Page Count
0 pages
Physical Format
Electronic resource
Identifiers
- Library of Congress Control Number2005615645
- Open LibraryOL3476187M
Classifications
- LCCHB1
Description
"We conduct a systematic comparison of confidence intervals around estimated probabilities of default (PD), using several analytical approaches from large-sample theory and bootstrapped small-sample confidence intervals. We do so for two different PD estimation methods--cohort and duration (intensity)--using twenty-two years of credit ratings data. We find that the bootstrapped intervals for the duration-based estimates are surprisingly tight when compared with the more commonly used (asymptotic) Wald interval. We find that even with these relatively tight confidence intervals, it is impossible to distinguish notch-level PDs for investment grade ratings--for example, a PDAA- from a PDA+. However, once the speculative grade barrier is crossed, we are able to distinguish quite cleanly notch-level estimated default probabilities. Conditioning on the state of the business cycle helps; it is easier to distinguish adjacent PDs in recessions than in expansions"--Federal Reserve Bank of New York web site.
Subjects
Topics
Series Statement
- Staff reports ;
- no. 190
- Staff reports (Federal Reserve Bank of New York : Online) ;
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