Lending is the only business in which the cost of goods sold is unknown when the product is sold. A lender books the interest today and learns over the next one to thirty years how much of the principal it will get back. Credit losses are the biggest single cost in most lending businesses, larger than funding in many consumer products and larger than operating costs in subprime, and they arrive late, in clusters, and at the same time for everyone. US commercial banks charged off about 4% of credit card balances in late 2025 (Federal Reserve, Q4 2025: 4.11% seasonally adjusted); at banks outside the largest 100 the rate was nearer 8% in mid-2026 (Federal Reserve, reported). This section explains how lenders decide whom to lend to (underwriting, data, scorecards and cutoffs), how they price for risk, how they forecast and measure losses (expected loss, vintage curves, roll rates, stress tests), how accounting rules turned forecasting into reported profit (CECL in the US, with IFRS 9 as the international contrast), how commercial and consumer credit differ, how collections and recoveries work, and what the landmark failures teach. A worked example builds a stylized scorecard, chooses a cutoff, and shows how CECL reserves change reported profit when a lender grows and when a recession is forecast.
What the study covers
- 1Overview: the arithmetic of credit
- 2The underwriting process
- 3Data and credit scores
- 4Scorecards: how a credit model is built
- 5Pricing for risk
- 6Loss forecasting
- 7Accounting for credit losses: CECL and IFRS 9
- 8Commercial credit: concentration, structure and cycles
- 9Collections, recoveries and servicing
- 10Thin-file and subprime credit in the US
- 11Key numbers
- 12Landmark companies and cases
- 13Pitfalls
- 14How an expert thinks about it
- 15Glossary
Technical exhibits
Worked examples, checklists and case studies included with this study.
Scorecard Cutoff and Cecl Reserve Worked Example
A stylized unsecured instalment lender: a points-to-odds scorecard, Gini and KS, profit by score band and cutoff in base and stress, the lifetime loss on a booked loan, and seven years of CECL reserves and provisions as the lender grows, then meets a forecast recession (computed in Python)