跳到正文
cccskills
免费在 GitHub 公开

valuation-model

Evaluate companies using projected cash flows, dividends, business segments, and comparisons with peers. Select suitable valuation methods, examine how assumptions change estimated value, and check for problems that can make a seemingly cheap stock misleading.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Valuation methodology — absolute valuation with DCF / DDM / SOTP, relative valuation with PE-Band / PB-ROE / EV-EBITDA, sensitivity analysis, and valuation-trap detection.

查看安装方法

适用场景

  • Selecting valuation methods suited to a company
  • Comparing estimated value across multiple methods
  • Testing growth-rate and discount-rate assumptions
  • Checking why a seemingly cheap stock may be risky

包含的文件(1)

  • SKILL.md8.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Valuation Methodology

Overview

Systematic corporate valuation framework covering absolute valuation (DCF / DDM / SOTP) and relative valuation (PE / PB / EV-EBITDA), including sensitivity-analysis methods and a checklist for identifying valuation traps.

Absolute Valuation Methods

1. DCF (Discounted Cash Flow)

Core formulas:

Enterprise value = Σ FCF_t / (1+WACC)^t + TV / (1+WACC)^n
Equity value = enterprise value - net debt
Per-share value = equity value / total shares outstanding

Detailed steps:

Step 1: Forecast free cash flow (usually 5 years)

FCFF = EBIT × (1-tax rate) + depreciation & amortization - capex - increase in working capital

Simplified version:
FCFF ≈ operating cash flow - capex
YearRevenue (100m RMB)EBIT (100m RMB)FCFF (100m RMB)Growth
2026E1202418+15%
2027E1382821+15%
2028E1553124+12%
2029E1703426+10%
2030E1823628+7%

Step 2: Calculate WACC

WACC = E/(D+E) × Ke + D/(D+E) × Kd × (1-T)

Ke (cost of equity) = Rf + β × (Rm - Rf)
  - Rf: 10-year government bond yield (about 2.5% for China A-shares)
  - β: industry average or company beta (1.0-1.5)
  - Rm-Rf: equity risk premium (about 5-7% for China A-shares)

Kd: cost of debt (loan rate, about 4-5%)
T: income tax rate (25%)

Reference WACC ranges for China A-shares:

IndustryWACC RangeReference β
Consumer8-10%0.8-1.0
Technology10-13%1.2-1.5
Financials7-9%1.0-1.2
Cyclicals9-12%1.0-1.4
Utilities6-8%0.5-0.8

Step 3: Terminal Value

Perpetual-growth method: TV = FCF_n × (1+g) / (WACC - g)
  - g: perpetual growth rate (usually 2-3%, should not exceed GDP growth)

Exit-multiple method: TV = EBITDA_n × EV/EBITDA multiple
  - Reference the industry average or historical median

Step 4: Sensitivity Analysis

### DCF Sensitivity Analysis (per-share value, RMB)

| WACC \ g | 2.0% | 2.5% | 3.0% |
|----------|------|------|------|
| 9.0% | 32.5 | 35.8 | 40.2 |
| 9.5% | 28.3 | 30.8 | 34.0 |
| 10.0% | 24.8 | 26.7 | 29.1 |
| 10.5% | 22.0 | 23.5 | 25.3 |
| 11.0% | 19.6 | 20.8 | 22.2 |

2. DDM (Dividend Discount Model)

Applicable to: high-dividend stocks (banks, utilities, mature consumer companies).

Two-stage DDM:
P = Σ D_t / (1+Ke)^t + D_n × (1+g) / [(Ke-g) × (1+Ke)^n]

Gordon model (single stage):
P = D_1 / (Ke - g)

Applicability checklist:

  • Has paid dividends continuously for more than 3 years
  • Stable payout ratio (>30%)
  • Strong earnings predictability
  • Usually not suitable for high-growth stocks (no dividends / low payout)

3. SOTP (Sum of the Parts)

Applicable to: diversified conglomerates.

Group value = Σ valuation of each business segment + net cash - holding-company discount

Example (a group company):
| Segment | Revenue (100m RMB) | Valuation Method | Valuation (100m RMB) |
|------|---------|---------|---------|
| Baijiu | 80 | 30x PE | 600 |
| Real estate | 50 | 0.6x PB | 120 |
| Financials | 30 | 1.0x PB | 200 |
| Total | | | 920 |
| Holding-company discount | | -15% | -138 |
| Group valuation | | | 782 |

Relative Valuation Methods

1. PE Band

Historical PE percentile analysis:
- Take the past 5 years of PE_TTM time series
- Compute the 10% / 25% / 50% / 75% / 90% percentiles
- Judge overvaluation / undervaluation from the current PE percentile

| Percentile | PE | Implied Price | Interpretation |
|------|-----|---------|------|
| 90% | 35x | 52.5 | Severely overvalued |
| 75% | 28x | 42.0 | Rich |
| 50% | 22x | 33.0 | Fair |
| 25% | 16x | 24.0 | Cheap |
| 10% | 12x | 18.0 | Severely undervalued |
| Current | 18x | 27.0 | Cheap (30th percentile) |

2. PB-ROE Matrix

Theoretical relationship: PB = (ROE - g) / (Ke - g)
Practical use: plot companies in the industry on a PB vs ROE scatter chart

| Quadrant | PB | ROE | Interpretation |
|------|-----|-----|------|
| Lower right | Low PB | High ROE | Undervalued (best buy zone) |
| Upper right | High PB | High ROE | Fair (quality premium) |
| Lower left | Low PB | Low ROE | Value trap or distressed turnaround |
| Upper left | High PB | Low ROE | Overvalued (avoid) |

3. EV/EBITDA

EV = market cap + net debt (interest-bearing debt - cash)
EBITDA = operating profit + depreciation + amortization

Advantages:
- Removes capital-structure differences (vs PE)
- Removes depreciation-policy differences
- Suitable for asset-heavy industries (telecom / energy / infrastructure)

Reference EV/EBITDA ranges by China A-share industry:
| Industry | Median | Undervalued | Overvalued |
|------|--------|------|------|
| Consumer | 15-20x | <12x | >25x |
| Technology | 12-18x | <10x | >22x |
| Energy | 6-10x | <5x | >12x |
| Utilities | 8-12x | <6x | >15x |

Valuation-Trap Detection

Top 10 Valuation Traps

#TrapDetection MethodTypical Example
1Low-PE cyclical at the peakPE is lowest when earnings are highest and about to fallCoal at 5x PE in 2021 was the top
2High-PE growth can be justifiedPEG < 1 means the growth rate supports the valuation30x PE + 40% growth = PEG 0.75
3Low-PB value destructionSustained ROE < Ke means shareholder value is being destroyedLong-term loss-making asset-heavy company
4Goodwill bombGoodwill / net assets >30% implies impairment riskUnderperforming acquisition after paying a high premium
5Accounts-receivable trapRising receivables / revenue ratio = poor revenue qualityGovernment receivables + high customer concentration
6Capitalization trapCapitalizing R&D / interest flatters profitPE doubles after true expensing
7One-off gainsLarge gap between recurring net profit and reported net profitAsset sales / government subsidies boost earnings
8Share dilutionStock options / convertible bonds reduce EPSPE should be based on diluted EPS
9Related-party transactionsBuy cheap from related parties / sell high to themProfit shifted outside the listed entity
10FX swingsHigh overseas-revenue share means large currency sensitivityRMB appreciation erodes exporter profits

Analysis Framework

Valuation-Method Selection Decision Tree

What type of company is it?
├── Mature and stable (consumer / utilities / banks)
│   ├── High dividend -> DDM
│   └── Low dividend -> DCF + PE Band
├── High growth (tech / pharma / new energy)
│   └── DCF (high-growth phase) + PEG + PS
├── Cyclical (coal / steel / nonferrous)
│   └── PB + EV/EBITDA (avoid PE)
├── Diversified conglomerate
│   └── SOTP
└── Loss-making company
    └── PS (price-to-sales) + EV/Sales

Cross-Validation

Use at least 2 valuation methods and take the middle value:
1. DCF -> intrinsic value
2. Comparable PE -> market pricing
3. If the difference >30% -> check whether assumptions are reasonable

Output Format

## Valuation Analysis: [Company Name / Code]

### Valuation Summary
| Method | Per-Share Value | Weight | Notes |
|------|---------|------|------|
| DCF | ¥32.5 | 50% | WACC=10%, g=2.5% |
| Comparable PE | ¥28.0 | 30% | Industry average 22x, EPS=1.27 |
| PB-ROE | ¥30.0 | 20% | Fair PB=2.5x |
| **Composite Target Price** | **¥30.8** | | Current price 25.0, upside +23% |

### Sensitivity Analysis
[WACC vs growth-rate matrix]

### Valuation-Trap Check
- [x] Is PE a falsely low cyclical peak? -> No
- [x] Goodwill / net asset ratio -> 12%, safe
- [x] Receivables / revenue trend -> Stable, not deteriorating
- [ ] Gap in recurring net profit -> 15% difference, subsidy dependence worth attention

### Investment Rating: Buy
Target price ¥30.8, current price ¥25.0, upside 23%

Notes

  1. DCF is highly sensitive to assumptions: a 1% change in WACC can move valuation by 20%+, so sensitivity analysis is mandatory
  2. Comparable companies must truly be comparable: same industry + same scale + same stage; do not apply leader PE multiples to small companies
  3. China A-share valuation system is unique: shell value / liquidity premium / policy premium mean US-equity standards cannot be copied directly
  4. Valuation is not a target price: markets can remain irrational for a long time, and valuation is an anchor, not a trading signal
  5. Special handling for cyclicals: use normalized earnings (mid-cycle earnings), not current earnings
  6. Not suitable for cryptocurrencies: traditional valuation frameworks do not apply to BTC / ETH; use on-chain metrics instead (see onchain-analysis)

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.

中文简介正在准备中。当前显示英语简介。

  • Compare A-share and H-share pricing gaps
  • Measure ADR premiums against Hong Kong shares
  • Review US delisting risks and Hong Kong listing alternatives
HKUDS/Vibe-Trading3.6万2026年10月22日 更新

akshare

免费

Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.

中文简介正在准备中。当前显示英语简介。

  • Retrieve historical prices for Chinese, US, and Hong Kong stocks
  • Collect Chinese GDP and consumer price data
  • Check futures quotes and foreign exchange rates
HKUDS/Vibe-Trading3.6万2026年10月22日 更新

alpha-zoo

免费

Explore bundled libraries of investment factors, signals used to compare securities, and inspect individual formulas and metadata. Evaluate a factor or an entire library across a chosen universe and period, producing aggregate performance statistics and an HTML report.

中文简介正在准备中。当前显示英语简介。

  • Find bundled momentum or reversal factors
  • Inspect a named factor's formula and metadata
  • Compare a factor library across a chosen universe and period
HKUDS/Vibe-Trading3.6万2026年10月22日 更新

Assess whether a Chinese A-share company may receive ST or *ST risk warnings next financial year. Review financial forecasts, dividends, audit opinions, and regulatory penalties, then report risk severity separately from confidence in the prediction.

中文简介正在准备中。当前显示英语简介。

  • Reviewing a Chinese A-share company's future ST risk
  • Assessing escalation risk for an existing ST or *ST stock
  • Checking revenue, equity, and dividend warning signs
HKUDS/Vibe-Trading3.6万2026年10月22日 更新

Plan portfolio allocations across assets using risk, correlations, return forecasts, and trading costs. Compare five optimization methods, produce settings for config.json, and define rebalancing rules that adjust holdings back toward their target weights.

中文简介正在准备中。当前显示英语简介。

  • Comparing allocations across stocks, bonds, and gold
  • Choosing an optimizer based on return forecasts and correlations
  • Preparing portfolio settings for config.json
HKUDS/Vibe-Trading3.6万2026年10月22日 更新

Diagnose failed or abnormal backtests, which test trading strategies on historical data. Inspect result files, strategy code, and configuration to identify bugs, make targeted repairs, rerun tests, and verify the updated metrics.

中文简介正在准备中。当前显示英语简介。

  • Investigating backtest execution errors
  • Finding why a strategy produces no trades
  • Checking delayed trades or low capital usage
HKUDS/Vibe-Trading3.6万2026年10月22日 更新

查看 HKUDS 的全部技能

报告此技能的问题