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.