Analyzing and Managing Banking Credit Portfolios Course

Lesson 1 • Credit Portfolio Stakeholders

Maps internal and external parties influencing credit decisions and portfolio outcomes. Clarifies accountability structures relevant to portfolio managers.

Lesson 2 • Credit and Its Role in Banking

Defines credit, its economic purpose, and how banks create value through lending. Establishes the conceptual baseline for all subsequent portfolio analysis.

Lesson 3 • Core Credit Risk Dimensions

Introduces probability of default, loss given default, and exposure at default as foundational risk metrics. Links each metric to portfolio-level impact.

Lesson 4 • Regulatory Framework Overview

Surveys capital adequacy standards, provisioning rules, and supervisory expectations without jurisdiction-specific codes. Prepares students for compliance-aware portfolio decisions.

Lesson 1 • Structuring Credit Facilities

Translates borrower analysis into appropriate facility terms, covenants, and conditions. Demonstrates how structure reduces risk while meeting borrower needs.

Lesson 2 • Qualitative Borrower Factors

Evaluates management quality, industry position, and business model sustainability alongside financial data. Balances quantitative metrics with judgment-based inputs.

Lesson 3 • Financial Statement Analysis for Credit

Applies ratio analysis and cash flow interpretation to assess repayment capacity. Anchors quantitative borrower evaluation within the credit lifecycle.

Lesson 4 • Collateral and Security Evaluation

Assesses collateral types, valuation methods, and enforceability as credit risk mitigants. Integrates collateral analysis into overall borrower assessment.

Lesson 1 • Data Infrastructure for Segmentation

Addresses data quality, attribute completeness, and system requirements for reliable segmentation. Bridges analytical frameworks with practical data management.

Lesson 2 • Asset Class and Product Segmentation

Categorizes exposures by product type, borrower class, and collateral backing. Links product characteristics to distinct risk profiles and management approaches.

Lesson 3 • Principles of Portfolio Segmentation

Explains why homogeneous groupings improve risk estimation accuracy and capital efficiency. Establishes segmentation as the structural backbone of portfolio management.

Lesson 4 • Concentration Identification

Identifies single-name, sector, and geographic concentrations that amplify portfolio risk. Prepares students to flag and quantify concentration before applying limits.

Lesson 1 • Loss Given Default Estimation

Estimates recovery rates using workout data, collateral values, and seniority structures. Connects LGD outputs to expected and unexpected loss calculations.

Lesson 2 • Exposure at Default Measurement

Quantifies drawn and undrawn exposures, credit conversion factors, and off-balance-sheet items. Ensures complete exposure capture for portfolio risk aggregation.

Lesson 3 • Model Validation and Governance

Establishes validation standards, backtesting protocols, and model risk controls. Ensures models remain fit for purpose as portfolio composition evolves.

Lesson 4 • Portfolio Loss Distribution Modeling

Aggregates individual exposures into a portfolio loss distribution using correlation and simulation. Introduces unexpected loss and economic capital concepts.

Lesson 1 • Macroeconomic Scenario Integration

Incorporates multiple economic scenarios and probability weights into ECL estimates. Demonstrates how forward-looking inputs affect provision volatility.

Lesson 2 • ECL Framework Principles

Explains the shift from incurred-loss to expected-loss provisioning and its portfolio implications. Establishes the conceptual foundation for all ECL calculation sections.

Lesson 3 • Provision Adequacy and Reporting

Evaluates whether provisions are sufficient relative to portfolio risk and regulatory expectations. Prepares students to communicate provision results clearly to management and auditors.

Lesson 4 • ECL Calculation Mechanics

Walks through the computational steps for collective and individual ECL assessments. Connects PD, LGD, and EAD models from the prior chapter into a unified calculation.

Lesson 1 • Sector and Geographic Limit Frameworks

Builds sector and geographic sub-limits using concentration indices and correlation data. Connects macro risk views to portfolio-level exposure caps.

Lesson 2 • Concentration Risk Theory

Explains how concentration amplifies unexpected loss beyond diversified portfolio benchmarks. Motivates limit frameworks as the primary management response to concentration.

Lesson 3 • Single-Name and Counterparty Limits

Covers large exposure rules, group aggregation, and connected-party identification. Ensures students can apply counterparty limits across complex ownership structures.

Lesson 4 • Limit Monitoring and Breach Management

Establishes monitoring cadence, reporting dashboards, and breach response protocols. Ensures limit frameworks remain operational and enforceable in practice.

Lesson 1 • Credit Risk Stress Modeling

Translates macroeconomic scenarios into stressed PD, LGD, and EAD estimates by segment. Builds on risk models from Chapter 4 to produce portfolio-level stressed losses.

Lesson 2 • Communicating Stress Test Results

Structures stress test findings for board, senior management, and regulatory audiences. Develops skills to translate technical outputs into actionable risk narratives.

Lesson 3 • Macroeconomic Scenario Design

Constructs baseline, adverse, and severely adverse scenarios using economic variable linkages. Ensures scenarios are internally consistent and plausible for credit risk application.

Lesson 4 • Capital Adequacy Under Stress

Assesses whether capital buffers remain sufficient after absorbing stressed credit losses. Links stress outcomes to capital planning and buffer management decisions.

Lesson 1 • Credit Risk Transfer Instruments

Covers loan sales, securitization, credit default swaps, and guarantees as portfolio management tools. Evaluates each instrument's effectiveness in reducing concentration and freeing capital.

Lesson 2 • Performance Monitoring and Reporting

Establishes key portfolio performance indicators and reporting cadences for senior management. Closes the management loop by connecting monitoring outputs to strategic adjustments.

Lesson 3 • Portfolio Optimization Techniques

Applies mean-variance and efficient frontier concepts to credit portfolio construction. Identifies reallocation opportunities that improve return per unit of risk.

Lesson 4 • Risk-Adjusted Return Measurement

Calculates RAROC and economic profit at the facility and portfolio levels to guide allocation. Integrates expected loss, capital cost, and funding cost into a unified performance metric.