china-finance-dcf
SkillFiles & storage--- name: china-dcf description: DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities. ---
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the china-finance-dcf skill
About this capability
A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.
What this skill tells your AI
The instructions your AI receives, as published by itamarzand88/awesome-agent-conventions in conventions/skill-md/examples/domain-specific-niche/china-finance-dcf/SKILL.md and read by ahel’s review.
name: china-dcf description: DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
china-dcf
Data Sources (Multi-Tier)
Tier 0 — 万得 Wind(最全面付费数据)
- 覆盖:A股/港美股/基金/指数/债券/宏观/研报/分析(44个工具)
- MCP 服务:
wind-mcp(需WIND_API_KEY密钥,以ak_开头) - 优势:全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请:https://aifinmarket.wind.com.cn/#/home
Tier 1 — 同花顺 iFind(付费精确数据)
ifind_get_stock_financials(ticker, ...) -> Historical financials
ifind_get_stock_info(ticker) -> Market data, shares outstanding
ifind_get_risk_indicators(ticker) -> Beta, volatility for WACC
Tier 2 - AkShare (free, open-source, fallback)
get_financials(ticker, "income", "annual") -> Historical P and L
get_financials(ticker, "balance", "annual") -> Historical BS
get_quote(ticker) -> Market cap, price
Data source mode switch: When env var
IFIND_DATA_SOURCE_MODE=ifind-only, use iFind exclusively.
wind-only: Wind only, error if unavailablewind-fallback: Wind first, fallback to iFind → AkShare
Key differences from US-market DCF
| Parameter | US DCF Convention | China DCF Convention |
|---|---|---|
| Risk-free rate | US 10Y Treasury | China 10Y CGB (国债收益率, ~2.5-3.5%) |
| Equity risk premium | ~5-6% (historical US) | ~6-8% (China A-share ERP) |
| Tax rate | US corporate 21% | China corporate 25% (高新技术企业 15%) |
| Terminal growth | US GDP growth (~2%) | China GDP growth (~4-5%) |
| Currency | USD | CNY |
| Reporting standard | US GAAP / IFRS | CAS (中国会计准则) |
Workflow
Step 1: Pull financials
get_financials(ticker, "income", "annual") → last 5 years
get_financials(ticker, "balance", "annual")
get_financials(ticker, "cashflow", "annual")
Step 2: Get market data
get_quote(ticker) → price, market cap, PE, PB
get_index_data("000001") → benchmark return for beta estimation
Step 3: Build projections
- Project revenue using historical growth rates adjusted for China macro outlook
- Assume 65-75% operating margin for 白酒 / high-margin sectors
- Assume 15-25% operating margin for manufacturing
- CapEx as % of revenue: check historical from cashflow statement
Step 4: Compute WACC
WACC = E/(D+E) * Ke + D/(D+E) * Kd * (1 - tax_rate)
Ke = Rf + β * ERP
Rf = China 10Y CGB yield (use ak.bond_zh_us_rate() or web search for latest)
β = regression on 上证指数 returns (or use comparable firm beta)
ERP = 6-8% (China-specific equity risk premium)
Kd = China 5Y corporate bond yield + credit spread
Step 5: Terminal value
Terminal Value = FCF_(n+1) / (WACC - g)
g = 3-4% for mature Chinese companies (China nominal GDP growth)
Notes
- Chinese fiscal year ends December 31 for most companies
- 北向资金 (Northbound flow) data can be used as sentiment indicator
- 商誉 (goodwill) impairments are common in China M&A — flag if goodwill > 30% of equity
- Some Chinese financial statements are reported in 千元 (thousands of CNY) vs 元 — check the unit
Signals
- GitHub stars
- 31
- Forks
- 3
- Last commit
- Jul 2026
Advanced
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china-finance-dcf- Source
- github.com/itamarzand88/awesome-agent-conventions