An anchored tipping-point PD under informative rating withdrawals: conservative coverage on known truth, an anchored odds ratio unstable across years in S&P's B and CCC to C grades and Fitch's B grade

A rating that leaves a cohort during the year hides whether it would have defaulted. Removing it, keeping it or following it to the year end each fix one answer, and when withdrawal precedes default every answer understates the probability of default (PD). The paper states the PD of a grade as a function of the odds ratio k of withdrawal for ratings that default, solves for the tipping k at which a decision flips, and anchors k on a second source that counts defaults differently. On rating paths generated from S&P migration counts, with a true PD of 1.17% for grade B and 1,000 repetitions per cell, the anchored interval covers it in 98.5% to 100% of repetitions at informativeness 1, 3 and 9, against 13.9% ± 1.1% for the removed estimate in the pooled design, at 2.16 points wide against 1.13 for an oracle that follows every withdrawal. Manski's worst-case band covers as often or more often, at 3.8 to 9.3 times the width. On the agencies' cohorts the pooled anchored k of S&P's CCC to C is 36.3, but fewer than 80% of the annual cohorts hold it in their band for S&P's grades B and CCC to C and Fitch's grade B. A definition gap that varies by year over each grade's observed range gives grade B a share of 61.2% and CCC to C 89.7%. The prediction is refuted by its stability clause and by its coverage clause against the Manski band. Repository and reproducible pipeline (MIT): https://github.com/fsantibanezleal/CAOS_Contraste .

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24053159
Primary Topic
Credit Risk and Financial Regulations
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

An anchored tipping-point PD under informative rating withdrawals: conservative coverage on known truth, an anchored odds ratio unstable across years in S&P's B and CCC to C grades and Fitch's B grade

Felipe A. Santibáñez-Leal
Zenodo (CERN European Organization for Nuclear Research)
Credit Risk and Financial Regulations
preprint

An anchored tipping-point PD under informative rating withdrawals: conservative coverage on known truth, an anchored odds ratio unstable across years in S&P's B and CCC to C grades and Fitch's B grade

Felipe A. Santibáñez-Leal
preprint en

Abstract

A rating that leaves a cohort during the year hides whether it would have defaulted. Removing it, keeping it or following it to the year end each fix one answer, and when withdrawal precedes default every answer understates the probability of default (PD). The paper states the PD of a grade as a function of the odds ratio k of withdrawal for ratings that default, solves for the tipping k at which a decision flips, and anchors k on a second source that counts defaults differently. On rating paths generated from S&P migration counts, with a true PD of 1.17% for grade B and 1,000 repetitions per cell, the anchored interval covers it in 98.5% to 100% of repetitions at informativeness 1, 3 and 9, against 13.9% ± 1.1% for the removed estimate in the pooled design, at 2.16 points wide against 1.13 for an oracle that follows every withdrawal. Manski's worst-case band covers as often or more often, at 3.8 to 9.3 times the width. On the agencies' cohorts the pooled anchored k of S&P's CCC to C is 36.3, but fewer than 80% of the annual cohorts hold it in their band for S&P's grades B and CCC to C and Fitch's grade B. A definition gap that varies by year over each grade's observed range gives grade B a share of 61.2% and CCC to C 89.7%. The prediction is refuted by its stability clause and by its coverage clause against the Manski band. Repository and reproducible pipeline (MIT): https://github.com/fsantibanezleal/CAOS_Contraste .

Zenodo (CERN European Organization for Nuclear Research)
Credit Risk and Financial Regulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon