This module focuses on credit risk assessment models used in financial analysis. Learners examine regulatory guidelines for credit rating agencies and explore quantitative credit risk models such as the KMV model and the Altman Z-Score model. The module explains how these models estimate default probability and financial distress risk using financial indicators and market-based inputs. Learners also understand how banks apply credit assessment methods when evaluating borrowers. By completing this module, learners gain the analytical foundation needed to interpret credit risk models and apply them in real-world credit evaluations.

This module introduces financial modeling concepts used in credit analysis and risk evaluation. Learners explore how financial models forecast company performance and support credit decision-making. The module covers cost sheet preparation, ratio analysis, and the development of financial assumptions for forecasting. It also explains how analysts estimate future assets, liabilities, and capital expenditures to evaluate a company's financial outlook. Through these topics, learners develop a foundational understanding of financial modeling techniques used by analysts in credit research and corporate finance.

This module focuses on expense forecasting and the integration of financial statements within financial models. Learners examine the calculation of intangible assets, total expenses, and working capital components. The module explains how depreciation, amortization, and working capital linkages affect financial statements. Learners also explore how cash flow statements connect with income statements and balance sheets within a financial model. By understanding these linkages, learners develop the ability to build consistent and integrated financial models used in credit research and financial forecasting.

This module explores the structure of equity and debt within financial models. Learners examine how equity components, retained earnings, and dividend distributions are calculated and incorporated into financial statements. The module also explains short-term debt management, revolving credit facilities, and liquidity considerations in financial modeling. Learners study how interest expenses and debt schedules are integrated into balance sheets and financial forecasts. By the end of the module, learners understand how analysts evaluate financing decisions and incorporate equity and debt components into credit analysis models.

This module applies the concepts of credit research and financial modeling to practical credit rating analysis. Learners explore rating analysis techniques, market trend evaluation, and credit rating models used by financial institutions. The module explains how banks assess borrower creditworthiness using financial indicators, market conditions, and quantitative models such as the Altman Z-Score. By completing this module, learners gain practical insights into how credit analysts and financial institutions evaluate risk and assign credit ratings in real-world financial environments.