Skill 详情
financial-analyst
Core financial statements, DCF, budgeting, and forecasting.
使用前先检查
自动化审核只检查相关性,不代表安全审查或推荐。使用前请阅读来源中的说明。
SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
--- name: "financial-analyst" description: Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis. --- # Financial Analyst Skill ## Overview Production-ready financial analysis toolkit providing ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. Designed for financial modeling, forecasting & budgeting, management reporting, business performance analysis, and investment analysis. ## 5-Phase Workflow ### Phase 1: Scoping - Define analysis objectives and stakeholder requirements - Identify data sources and time periods - Establish materiality thresholds and accuracy targets - Select appropriate analytical frameworks ### Phase 2: Data Analysis & Modeling - Collect and validate financial data (income statement, balance sheet, cash flow) - **Validate input data completeness** before running ratio calculations (check for missing fields, nulls, or implausible values) - Calculate financial ratios across 5 categories (profitability, liquidity, leverage, efficiency, valuation) - Build DCF models with WACC and terminal value calculations; **cross-check DCF outputs against sanity bounds** (e.g., implied multiples vs. comparables) - Construct budget variance analyses with favorable/unfavorable classification - Develop driver-based forecasts with scenario modeling ### Phase 3: Insight Generation - Interpret ratio trends and benchmark against industry standards - Identify material variances and root causes - Assess valuation ranges through sensitivity analysis - Evaluate forecast scenarios (base/bull/bear) for decision support ### Phase 4: Reporting - Generate executive summaries with key findings - Produce detailed variance reports by department and category - Deliver DCF valuation reports with sensitivity tables - Present rolling forecasts with trend analysis ### Phase 5: Follow-up - Track forecast accuracy (target: +/-5% revenue, +/-3% expenses) - Monitor report delivery timeliness (target: 100% on time) - Update models with actuals as they become available - Refine assumptions based on variance analysis ## Tools ### 1. Ratio Calculator (`scripts/ratio_calculator.py`) Calculate and interpret financial ratios from financial statement data. **Ratio Categories:** - **Profitability:** ROE, ROA, Gross Margin, Operating Margin, Net Margin - **Liquidity:** Current Ratio, Quick Ratio, Cash Ratio - **Leverage:** Debt-to-Equity, Interest Coverage, DSCR - **Efficiency:** Asset Turnover, Inventory Turnover, Receivables Turnover, DSO - **Valuation:** P/E, P/B, P/S, EV/EBITDA, PEG Ratio ```bash python scripts/ratio_calculator.py assets/sample_financial_data.json python scripts/ratio_calculator.py assets/sample_financial_data.json --format json python scripts/ratio_calculator.py assets/sample_financial_data.json --category profitability ``` ### 2. DCF Valuation (`scripts/dcf_valuation.py`) Discounted Cash Flow enterprise and equity valuation with sensitivity analysis. **Features:** - WACC calculation via CAPM - Revenue and free cash flow projections (5-year default) - Terminal value via perpetuity growth and exit multiple methods - Enterprise value and equity value derivation - Two-way sensitivity analysis (discount rate vs growth rate) ```bash python scripts/dcf_valuation.py assets/sample_financial_data.json python scripts/dcf_valuation.py assets/sample_financial_data.json --format json python scripts/dcf_valuation.py assets/sample_financial_data.json --projection-years 7 ``` ### 3. Budget Variance Analyzer (`scripts/budget_variance_analyzer.py`) Analyze actual vs budget vs prior year performance with materiality filtering.在 GitHub 阅读完整来源 (打开外部页面)