bond-relative-value

Decompose bond spreads and estimate scenario P&L under rate shocks.

17|4|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/yuping322/financial-services-plugins-new --skill bond-relative-value-yuping322
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bond-relative-value
Source: https://github.com/yuping322/financial-services-plugins-new/tree/main/partner-built/lseg/skills/bond-relative-value
Command: npx skills add https://github.com/yuping322/financial-services-plugins-new --skill bond-relative-value-yuping322

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps fixed income analysts determine whether a bond is rich, cheap, or fairly priced by decomposing spreads into rate, credit, and residual components and by stress-testing value under rate scenarios to quantify P&L impact.

Core Features & Use Cases

  • Spread Decomposition: Compute G-spread, extract credit curve spread at maturity, and calculate the residual spread to isolate liquidity and technicals.
  • Scenario Stress Testing: Run parallel rate shifts to produce price change and P&L tables for -100bp to +100bp scenarios.
  • Tool Chaining for Context: Integrates bond pricing, government/swap curves, credit curves, historical pricing, and risk analytics to produce a recommendation.
  • Use Case: Compare a corporate bond to sovereign curves and issuer credit curve, produce a spread decomposition, show scenario P&L per 100 notional, and provide a buy/hold/sell recommendation with the bp move that would alter that view.

Quick Start

Analyze the relative value of ISIN US1234567890 versus two comparable bonds and produce a spread decomposition, scenario P&L table, and a clear buy/hold/sell recommendation including bp sensitivity.

Frequently Asked Questions about bond-relative-value

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

FAQPage Schema
How do I perform relative value analysis on corporate bonds?

Bond relative value analysis decomposes spreads into rate, credit, and residual components to determine if a bond is rich, cheap, or fairly priced. It combines pricing, yield curves, credit spreads, and scenario stress testing to quantify P&L impact.

How do I decompose credit spreads into rate and residual components?

Spread decomposition computes the G-spread, extracts the credit curve spread at maturity, and calculates the residual spread to isolate liquidity and technicals. This separates the credit component from rate movements to identify true relative value.

Can I estimate P&L impact from parallel rate shifts on sovereign and municipal bonds?

Yes, scenario stress testing runs parallel rate shifts from -100bp to +100bp to produce price change and P&L tables per 100 notional. This applies to corporate, sovereign, and municipal bond comparisons to quantify scenario risk.

What data do I need for yield curve spread decomposition and scenario stress testing?

You need bond identifiers (ISIN, RIC, or CUSIP) plus access to interest rate curves, credit curves, bond pricing, and yieldbook scenario data. Optional historical pricing can be added to calculate Z-scores for additional context.

How do I compare a corporate bond to sovereign curves and generate a buy/hold/sell recommendation?

Compare the corporate bond against sovereign and issuer credit curves to produce a spread decomposition and scenario P&L table. The analysis outputs a recommendation with the specific basis point move that would alter the view.