credit-analysis

To estimate credit risk and probability of default (PD) for corporate bonds, you can use classic models like Z-score, Altman, Merton, and KMV. The workflow involves data ingestion, parameter estimation, and validation to output EDF, credit spreads, and risk metrics.

Calculating credit spreads and DV01 for fixed-income assets requires duration and scenario analysis. This approach evaluates corporate bonds, ABS, and municipal instruments, generating parameterized reports for risk-adjusted pricing and benchmark comparison.

Yes, the Merton model can assess municipal debt and ABS alongside corporate bonds. It estimates expected default frequency (EDF) and recovery rates, integrating with rating frameworks to provide risk-adjusted pricing and scenario sensitivity.

Credit risk modeling supports OAS and scenario sensitivity analysis by computing duration and DV01. It ingests issuer data to validate parameters, outputting spread metrics and sensitivity reports for fixed-income valuation.

Parameter estimation and validation are required for EDF calculations to ensure accurate probability of default outputs. This process ingests issuer data, computes structural model parameters, and generates reliable credit spread reports for investment decisions.