credit-analysis

Analyze fixed-income credit risk using Altman Z-Score, Merton, and KMV models.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/Liangwei-zhang/six-stock --skill credit-analysis-liangwei-zhang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: credit-analysis
Source: https://github.com/Liangwei-zhang/six-stock/tree/main/Vibe-Trading/agent/src/skills/credit-analysis
Command: npx skills add https://github.com/Liangwei-zhang/six-stock --skill credit-analysis-liangwei-zhang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing and integrating complex credit analysis frameworks (rating, default probability, pricing) is time-consuming and error-prone. This Skill provides a unified reference of frameworks (Altman Z-Score, Merton, KMV) and practical workflows for fixed-income credit assessment, enabling faster, more consistent decisions.

Core Features & Use Cases

  • Credit-ratings frameworks: issuer vs debt ratings, rating mappings, and alignment with domestic and international scales.
  • Structural models: Altman Z-Score, Merton, KMV/EDF, and credit-scoring methodologies for underwriting and risk assessment.
  • Product-specific analysis: bonds, ABS/MBS, convertible debt floors, and city-investment debt evaluations; pricing, spreads, and risk metrics.
  • Use Case: rapid evaluation of a new corporate bond issue, including YTM, duration, DV01, and EDF estimation, with a succinct risk assessment.

Quick Start

Calculate the YTM and DV01 for a sample bond using the provided formulas and templates.

Frequently Asked Questions about credit-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate default probability and assess fixed-income credit risk?▼

Fixed-income credit risk assessment calculates default probability using structural models like Altman Z-Score, Merton, and KMV/EDF. These frameworks enable parameter estimation and risk-adjusted spread calculations for corporate, sovereign, and municipal instruments.

What's the best way to price corporate bonds and estimate credit spreads?▼

Corporate bond pricing and credit spread estimation involve calculating YTM, duration, and DV01 alongside default risk metrics. Product-specific analysis covers bonds, ABS/MBS, and convertible debt floors to produce coherent risk-adjusted decisions.

Can I use structural credit models for both issuer-level and debt-level ratings?▼

Structural credit models support both issuer-level and debt-level credit assessment. Frameworks provide rating mappings and alignment across domestic and international scales for underwriting and risk evaluation workflows.

How do I evaluate city-investment debt and municipal bond creditworthiness?▼

Municipal and city-investment debt evaluation applies structural credit-scoring methodologies and product-specific analysis. This includes assessing pricing, spreads, and risk metrics to generate a coherent credit assessment for municipal instruments.

When should I use Altman Z-Score versus Merton or KMV models for credit analysis?▼

Altman Z-Score suits accounting-based credit scoring, while Merton and KMV/EDF models apply structural approaches using market data. Selecting between them depends on data availability and the specific underwriting or risk assessment context.

Does fixed-income credit analysis support risk-adjusted spread calculations for ABS and MBS?▼

Fixed-income credit analysis supports risk-adjusted spread calculations for ABS/MBS and convertible debt. Product-specific workflows integrate parameter estimation with pricing and risk metrics to evaluate asset-backed securities comprehensively.