ASTAM Excel Question Strategy
ASTAM has one Excel workbook question and five written-answer questions. The Excel question rewards clean formulas, traceable tables, distribution-function fluency, and enough notes for graders to see what each cell is doing.
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
Quick Answer
The Spring 2026 syllabus says ASTAM is a three-hour, six-question, 60-point exam. One question is answered in the Excel workbook; the other five are answered in written booklets. The workbook question is graded from the workbook, not from scratch paper or the written booklet.
Use the dedicated Excel tutorial for workbook mechanics. Use this strategy page for how to convert those mechanics into points: visible formulas, correct parameter translation, clear model selection, and a final interpretation cell.
Excel Functions To Practice
Practice Normal, Binomial, Poisson, Chi-Squared, Negative Binomial, Gamma, F, and Lognormal probability and inverse functions. The point is not to memorize every Excel argument in isolation. The point is to know which distribution the actuarial model calls for and to enter the parameters consistently.
Negative binomial deserves special care because Excel's parameterization differs from the Loss Models beta notation. Translate before using the function, and label the translated parameter in the workbook.
Goal Seek Pattern
A common ASTAM Excel shape is: define a parameter cell, calculate fitted probabilities or fitted values from that parameter, calculate a target expression, then use Goal Seek to make the target equal zero or a specified value.
A grader-friendly workbook leaves the trail visible. Keep the parameter cell separate, label the target cell, avoid hard-coded final answers, and use formulas down the table. If you must type a numeric starting value, label it as a starting value rather than as the answer.
Original Practice Drill
Create a five-row frequency table with counts for 0, 1, 2, 3, and 4 claims. Fit a geometric model by computing fitted probabilities from one beta cell. Then add a zero modified version with a separate p0 cell and use Goal Seek to solve the beta score equation.
After the workbook calculates both maximum log-likelihoods, add a one-line likelihood-ratio-test decision cell. This drill mirrors the skill stack in released ASTAM Excel materials without reproducing any official question.
Workbook Mistakes To Avoid
Do not paste values where formulas should be. The ASTAM instructions prefer formulas because formulas help graders assign credit. Do not hide calculations on scratch sheets that are not submitted or in comments that may not be readable.
Do not overbuild. A simple table with clear labels, visible formulas, and a final interpretation cell is better than a clever workbook that only you can understand.
Original exam practice
3 questions built from syllabus outcomes and released-exam patterns. The prompts and answers are original, so they train the skill without copying official exam text.
ASTAM Excel Workbook Drill
A compact workbook planning set for frequency fits, Goal Seek, and likelihood-ratio decisions.
- Question 1/Spreadsheet
Zero-modified frequency layout
You have counts for 0, 1, 2, 3, and 4 claims. Sketch the columns you would build to compare a geometric model with a zero-modified geometric model.
ASTAM Frequency Fit WorkbookA workbook skeleton for comparing geometric and zero-modified frequency models with visible log-likelihood cells.
Download .xlsx templateSolution and grading points
Use columns for k, observed count, fitted geometric probability, fitted zero-modified probability, observed times log fitted probability for each model, and a total log-likelihood cell for each model.
- Keeps observed counts separate from fitted probabilities.
- Uses one parameter cell for the geometric model and a separate zero-probability cell for the zero-modified model.
- Builds log-likelihood totals with visible formulas rather than pasted values.
- Question 2/Spreadsheet
Goal Seek target cell
In a one-parameter fit solved by Goal Seek, what should the changing cell and target cell represent?
ASTAM Goal Seek Audit WorkbookA workbook skeleton for showing the changing cell, target equation, target value, and downstream checks after Goal Seek.
Download .xlsx templateSolution and grading points
The changing cell should hold the parameter being estimated. The target cell should hold the score equation, or another stated estimating equation, arranged so the desired target is zero.
- Identifies the changing cell as the parameter.
- Identifies the target as an estimating equation.
- States the target value clearly, usually zero.
- Question 3/Calculation
Likelihood-ratio decision cell
Two nested models have maximized log-likelihoods ell_0 and ell_1, with the larger model adding one parameter. Write the likelihood-ratio statistic and reference distribution.
Solution and grading points
The statistic is 2(ell_1 - ell_0). Under the usual regularity conditions for nested models, compare it to a chi-square distribution with 1 degree of freedom.
- Uses the larger model log-likelihood minus the smaller model log-likelihood.
- Multiplies by 2.
- Uses 1 degree of freedom because one parameter was added.