A股可转债套利/转股溢价策略。当用户说"转债套利"、"可转债套利"、"convertible arb"、"转股溢价套利"、"转债对冲"、"转债Delta"时触发。基于 cn-stock-data 获取数据,分析可转债套利机会。支持 formal/brief 两种输出风格。
Scanned 9/7/2026
Install to Claude Code
npx -y skills add aifinlab/FinClaw --skill a-share-convertible-arb --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-convertible-arb
description: A股可转债套利/转股溢价策略。当用户说"转债套利"、"可转债套利"、"convertible arb"、"转股溢价套利"、"转债对冲"、"转债Delta"时触发。基于 cn-stock-data 获取数据,分析可转债套利机会。支持 formal/brief 两种输出风格。
---
# 可转债套利/转股溢价策略助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **转债数据**: 转债价格/转股价/转股溢价率
- **正股数据**: 正股价格与行情
- **条款数据**: 赎回/回售/下修条款
## 分析工作流
### Step 1: 转股溢价分析
- 转股价值 = 100/转股价 × 正股价
- 转股溢价率 = (转债价格 - 转股价值) / 转股价值
- 纯债价值:按信用债收益率折现
- 纯债溢价率 = (转债价格 - 纯债价值) / 纯债价值
### Step 2: 套利策略
- 折价套利:转股溢价率<0时,买转债+融券正股
- 正股替代:转债价格≈转股价值时,买转债替代正股
- 条款博弈:下修转股价预期→买入转债
- 强赎博弈:触发强赎条件前的转债交易
### Step 3: Delta对冲
- 转债Delta ≈ 转股价值/转债价格 × 正股Delta
- 对冲比例:每张转债对冲Delta×100/转股价股正股
- 动态调整:正股价格变动时重新计算Delta
- Gamma收益:转债凸性带来的额外收益
### Step 4: 风险因素
- 信用风险:转债发行人违约风险
- 流动性风险:小盘转债流动性差
- 强赎风险:触发强赎后转债价格回落
- 融券限制:A股融券难度大,限制套利执行
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# [转债] 套利分析报告
## 一、估值分析
| 指标 | 数值 |
|------|------|
| 转股溢价率 | 5.2% |
## 二、套利机会
[策略类型、预期收益]
## 三、对冲方案
[Delta对冲比例]
## 四、风险提示
```
### brief 风格(快速分析)
```
## [转债] 套利速览
- 转股溢价率 5.2%,中等水平
- 纯债价值 92,债底保护尚可
- 无折价套利机会
- 关注下修转股价可能性
```
参考 `references/convertible-arb-guide.md` 获取详细方法论与 A股实证研究。
## 使用示例
### 示例 1: 基本使用
```python
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
```
### 示例 2: 命令行使用
```bash
python scripts/run_skill.py --input data.json
```
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