convertible-bond

Analyze and value A-share convertible bonds with Python.

1|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/644408071-design/Kokpop --skill convertible-bond-644408071-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: convertible-bond
Source: https://github.com/644408071-design/Kokpop/tree/main/agent/src/skills/convertible-bond
Command: npx skills add https://github.com/644408071-design/Kokpop --skill convertible-bond-644408071-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive analysis of A-share convertible bonds, including valuation, option strategies, and trading strategies.

Core Features & Use Cases

  • Three-dimensional Valuation: Offers valuation for convertible bonds based on bond floor, conversion value, and option value.
  • Strategy Analysis: Analyzes the effects of downgrades, mandatory redemption, and repurchase options.
  • Double Low Strategy: Identifies convertible bonds with low price and low premium, suitable for investment.
  • Rotation Strategy: Provides a framework for rotating between different convertible bonds based on various factors.
  • Use Case: An investor looking to make a decision on whether to buy, hold, or sell a convertible bond can use this Skill to perform a detailed analysis.

Quick Start

Analyze the convertible bond 'XX转债' with the skill.

Frequently Asked Questions about convertible-bond

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

FAQPage Schema
How do I analyze A-share convertible bond valuation metrics like bond floor and conversion value?

A-share convertible bond valuation is performed by analyzing bond floor, conversion value, and option value to provide a comprehensive three-dimensional assessment for investment decisions.

How do I screen convertible bonds using the double low trading strategy?

Screening convertible bonds with the double low strategy involves identifying bonds exhibiting both low price and low premium to pinpoint suitable investment candidates.

What is the best way to implement a convertible bond rotation strategy?

Implementing a convertible bond rotation strategy requires a framework that rotates between different bonds based on various analytical factors to optimize portfolio allocation.

Can I analyze mandatory redemption and repurchase options for convertible bonds using Python?

Yes, you can analyze mandatory redemption and repurchase options for convertible bonds using Python, leveraging pandas and numpy to evaluate downgrade effects and mandatory redemption triggers.

Does this convertible bond analysis tool require specific Python dependencies?

Yes, this convertible bond analysis tool requires Python dependencies including pandas, numpy, and matplotlib to perform data processing, valuation calculations, and generate visual outputs.

What are the limitations of using a double low strategy for A-share convertible bonds?

Limitations of using a double low strategy for A-share convertible bonds include ignoring individual downgrade risks and mandatory redemption clauses, requiring comprehensive option strategy analysis to mitigate.