ASTAM Syllabus Explained
The ASTAM syllabus is a study map for severity, aggregate losses, coverage modifications, parametric modeling, credibility, reserving, and pricing.
SOA Exam ASTAM
Official syllabus, notation, formula sheet, introductory note, study notes, and released exams are mapped for topic planning.
What the official PDFs establish
- Format
- 3-hour exam with six questions and 60 total points.
- Excel component
- One question is answered in an Excel workbook; five questions are answered in written booklets.
- Assumed knowledge
- FM, P, FAM, and mathematical statistics VEE are assumed.
- Submission split
- The Excel workbook is uploaded for the Excel question, while answer booklets are submitted for the written questions.
- Tables and formula access
- Paper tables and the paper formula sheet are not supplied; candidates use the provided Excel workbook and official electronic resources.
Topic and domain coverage
| Topic | Weight | Source |
|---|---|---|
| Severity Models | 8-18% | Source: Exam ASTAM Syllabus, p. 2 |
| Aggregate Models | 12-22% | Source: Exam ASTAM Syllabus, p. 2 |
| Coverage Modifications | 8-18% | Source: Exam ASTAM Syllabus, p. 2 |
| Construction and Selection of Parametric Models | 14-24% | Source: Exam ASTAM Syllabus, p. 3 |
| Credibility | 12-20% | Source: Exam ASTAM Syllabus, p. 3 |
| Reserving and Pricing | 15-29% | Source: Exam ASTAM Syllabus, p. 4 |
Chapter and reading intelligence
- Loss Models, fifth edition
Selected sections from chapters 3, 5, 7-9, 11-13, 15, 17, and 18 are mapped in the syllabus.
- Introduction to Ratemaking and Loss Reserving
Selected sections from chapters 1, 4, and 5 are listed for ratemaking and loss reserving context.
- Outstanding Claims Reserves and QERM Chapter 5
Study notes support reserving and risk-measure topics; the guide summarizes concepts and links official materials.
Official files used by the map
- Official syllabussyllabus
Primary source for format, topic weights, and readings.
Source: Spring 2026 Exam ASTAM Syllabus - Notation guidenotation
Use for notation consistency in examples.
Source: ASTAM Notation for Spring 2026 - Formula sheetformula-sheet
Use to separate supplied formulas from skills that still need memory and practice.
- Introductory study notestudy-note
Use for exam logistics, Excel workbook submission, and software expectations.
- Released ASTAM exams and solutionsreleased-exam
Use for topic maps and answer-style analysis; do not republish questions or solutions.
Source: April 2026 ASTAM Exam
Topic Map
The Spring 2026 syllabus splits ASTAM into six blocks: severity models, aggregate models, coverage modifications, construction and selection of parametric models, credibility, and reserving/pricing for short-term coverages.
Read the weights as a study-allocation guide, not as a promise about one sitting. Reserving/pricing has the largest range, but the middle of the exam is built from linked skills: choose a severity model, build an aggregate model, modify the coverage, fit and check the model, then explain the actuarial result.
- Severity Models: 8-18%.
- Aggregate Models: 12-22%.
- Coverage Modifications: 8-18%.
- Construction and Selection of Parametric Models: 14-24%.
- Credibility: 12-20%.
- Reserving and Pricing: 15-29%.
Highest ROI Topics
Parametric models, credibility, and reserving/pricing are high-return because they combine topic weight with reusable answer patterns. They are also the areas where candidates most often lose points after the arithmetic: model choice, uncertainty, interpretation, and communication.
Severity, aggregate, and coverage work still cannot be treated as warm-up. They are the inputs to almost every applied ASTAM problem. A reserving or pricing answer is weak if the claim-size, claim-count, or payment-variable setup is wrong.
Connections To FAM And Statistics
FAM gives the short-term and long-term actuarial base. ASTAM pushes the short-term side into model selection, estimation, tail behavior, credibility, and reserving.
The mathematical statistics prerequisite is not decorative. ASTAM expects likelihood setup, interval reasoning, goodness-of-fit interpretation, Bayesian estimation, and empirical Bayes language to be available when the actuarial setting demands them.