Advanced Credit Risk Modeling - IT Sector
About this course
Build advanced credit risk modeling skills by analyzing financial statements, comparing corporate credit profiles, and developing evidence-based recommendations. Designed for learners seeking deeper expertise in corporate credit analysis, this course uses financial data from two companies to connect financial statement analysis with structural credit risk models. You’ll examine income statements, balance sheets, and cash flow statements; evaluate multi-year trends in profitability, efficiency, liquidity, and financial health; and compare company performance using key ratios and evaluation metrics. You’ll apply the Altman Z-Score to assess bankruptcy risk and the Merton Model to evaluate market-based credit risk through asset volatility and distance to default. You’ll also construct unlevered free cash flow to equity (UFCE) models and analyze working capital movements to assess internal cash generation and operational sustainability. What makes this course distinctive is its integrated approach: you’ll combine financial and market-based analysis to assign internal credit ratings, formulate risk-adjusted exit strategies, and produce comprehensive credit recommendations. Enroll to strengthen your ability to interpret financial data, evaluate corporate creditworthiness, synthesize risk findings, and make well-supported credit decisions.
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What you'll learn
- Analyze income statements, balance sheets, and cash flow statements
- Apply the Altman Z-Score to assess bankruptcy risk
- Explore the Merton Model to evaluate market-based credit risk
- Construct unlevered free cash flow (UFCE) models
- Evaluate multi-year financial trends and key financial metrics
- Assign internal credit ratings and develop risk-adjusted exit strategies
Course objectives
- Deepen knowledge of corporate credit analysis
- Strengthen analytical and evaluative skills using financial data
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