bond-relative-value

Decompose bond spreads into G-spread, credit spread, and residual.

Updated May 6, 2026
One-click install
npx skills add https://github.com/nvmohinani/financial_services --skill bond-relative-value-nvmohinani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bond-relative-value
Source: https://github.com/nvmohinani/financial_services/tree/main/plugins/partner-built/lseg/skills/bond-relative-value
Command: npx skills add https://github.com/nvmohinani/financial_services --skill bond-relative-value-nvmohinani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decompose bond spreads to identify relative value.

Core Features & Use Cases

  • Decompose spreads into a G-spread, credit spread, and residual to quantify richness or cheapness.
  • Compare bonds across curves and issuers, and run rate-shock and scenario analyses to test robustness.
  • Produce a rich/cheap recommendation with a structured summary for investment decisions.

Quick Start

Supply a target bond identifier and the relevant market curves to obtain a spread decomposition and scenario results.

Frequently Asked Questions about bond-relative-value

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

FAQPage Schema
How do I decompose bond spreads to identify relative value?

To decompose bond spreads, break them down into G-spread, credit spread, and residual components to quantify richness or cheapness. This spread decomposition reveals relative value by isolating curve and credit effects from pricing anomalies.

What inputs do I need to run a bond spread decomposition and scenario analysis?

You need a target bond identifier, bond pricing outputs, government yield curves, and credit curves. These inputs generate spread decomposition and rate-shock scenario P&L results.

Can I compare bonds across different yield curves and credit regimes?

Yes, you can compare bonds across different yield curves and credit regimes. The analysis tests robustness by running rate-shock and scenario analyses to evaluate relative value under shifting market conditions.

What is the best way to test fixed-income portfolio robustness against rate shocks?

The best way to test fixed-income portfolio robustness is running rate-shock and scenario analyses across different yield curves and credit regimes. This generates scenario P&L and a structured rich/cheap recommendation.

How does spread decomposition generate a rich or cheap recommendation for investment decisions?

Spread decomposition generates a rich or cheap recommendation by isolating the residual spread after removing G-spread and credit spread. A positive residual indicates cheapness, while a negative residual indicates richness.

When do I need to use scenario analysis for relative value assessment in fixed-income trading?

You need scenario analysis for relative value assessment when testing bond pricing robustness against rate shocks and shifting credit regimes. It validates whether spread decomposition findings hold under varying market conditions.