Pith. sign in

REVIEW 1 cited by

An axiomatic approach to default risk and model uncertainty in rating systems

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2303.08217 v3 pith:QV65ENJ6 submitted 2023-03-14 q-fin.MF q-fin.RM

classification q-fin.MFq-fin.RM
keywords riskdefaultmeasuresmodelapproachassetsaxiomaticcapital
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In this paper, we deal with an axiomatic approach to default risk. We introduce the notion of a default risk measure, which generalizes the classical probability of default (PD), and allows to incorporate model risk in various forms. We discuss different properties and representations of default risk measures via monetary risk measures, families of related tail risk measures, and Choquet capacities. In a second step, we turn our focus on default risk measures, which are given as worst-case PDs and distorted PDs. The latter are frequently used in order to take into account model risk for the computation of capital requirements through risk-weighted assets (RWAs), as demanded by the Capital Requirement Regulation (CRR). In this context, we discuss the impact of different default risk measures and margins of conservatism on the amount of risk-weighted assets.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Optimizing Token Choice for Code Watermarking: An RL Approach

    cs.CR 2025-08 unverdicted novelty 6.0 of 10

    An RL-trained policy adaptively biases token choices to watermark LLM-generated code while preserving executable behavior.

Pith tools