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.

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 unavailable
  • wind-fallback: Wind first, fallback to iFind → AkShare

Key differences from US-market DCF

ParameterUS DCF ConventionChina DCF Convention
Risk-free rateUS 10Y TreasuryChina 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 rateUS corporate 21%China corporate 25% (高新技术企业 15%)
Terminal growthUS GDP growth (~2%)China GDP growth (~4-5%)
CurrencyUSDCNY
Reporting standardUS GAAP / IFRSCAS (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
Catalog kind
skill
Gateway key
china-finance-dcf
Source
github.com/itamarzand88/awesome-agent-conventions