The Exam STAM 5-Week Pass Preparation Bootcamp

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The Exam STAM Pass Preparation Bootcamp provides a five-week highly intensive program offering 5 comprehensive live seminars, Q&A Email Correspondence & Online Office Hours with STAM instructor, Open Forums, and other key exam preparation features to place students in the absolute strongest position to pass STAM in February

Dr. Yvonne Chueh, ASA, Ph.D., is a Professor of Actuarial Science at Central Washington University with more than 20 years of experience in preparing students to pass their SOA exams.  She has served as a Council Member and Chair of the SOA Education & Research Special Interest Section.  Dr. Chueh’s knowledge of STAM material is unparalleled and during this five-week intensive program will use her tremendous STAM experience to provide a personalized, hands-on approach in leading students to be in a dominant position to pass Exam STAM in February Learn more

The Exam STAM Pass Preparation Bootcamp offers students the following:

  1. Weekly live lectures integrating the conceptual understanding of required STAM syllabus topics with the advancement of related problem-solving skills
  2. Open Forum following each weekly seminar in which students can ask questions regarding any syllabus topic/problem solving
  3. Q&A Email Correspondence feature in which students can email Dr. Chueh with questions they are having from their self-study
  4. Online Office Hours with Dr. Chueh in which students can review specific exam topics/problems which they are having difficulties with
  5. Scheduling of mini-sessions in which students can meet privately with Dr. Chueh to review specific exam topics/problems which they are having difficulty with
  6. Weekly assessment quizzes to monitor student progress
  7. Access to Program Google Drive in which exam content and problem solving solutions are constantly be added to drive throughout program
  8. Private STAM Group on LinkedIn open only to program members to communicate with each other and Dr. Chueh
  9. All weekly lectures recorded and made accessible to students


Live Classes & Subjects

Seminar 1: 12/27
10:00 AM - 2:00 PM EST
Severity, Frequency, and Cost Per Loss v.s. Per Payment Variables
• Severity Models: study the random variable of loss amount, with deductible or limit or both.
• Frequency Models: study the random variable of loss count, with deductible or limit or both. The class of (a,b,0) and (a,b,1) are the main model to master.
• Cost per loss and Cost per payment variables and their probability distributions, expected values, variance.
Seminar 2: 1/3
10:00 AM - 2:00 PM EST
Aggregate Claims, Compound Variables with Modified Distributions
• Aggregate Models: Express an aggregate claim model using primary and secondary distributions. Relate to their parameters or statistics for collective risk models. Recognize and define the distribution of an aggregate claim variable.
• Relations of severity, frequency and aggregate models: Include deductibles and policy limits to modify probability distributions of loss variables to claim variables under inflation.
Seminar 3: 1/10
10:00 AM - 2:00 PM EST
Tail Distributions and Parametric Model Fitting and Testing
• Risk Measures: Define and calculate VaR, and TVaR. Solve related problems in risk measures.
• Parametric Models: Estimate the parameters of failure time and loss distributions using:a) Maximum likelihoodb) Method of momentsc) Percentile matchingd) Bayesian procedures
• Accept or reject a fitted model and/or compare models: by Graphical procedures or one of the following: Kolmogorov-Smirnov test, Chi-square goodness-of-fit test, Likelihood ratio test, Schwarz Bayesian Criterion, Akaike Information Criterion
Seminar 4: 1/17
10:00 AM - 2:00 PM EST
Credibility Theory and Applications
• Credibility Theory: Apply limited fluctuation (classical) credibility including criteria for both full and partial credibility. Perform Bayesian analysis using both discrete and continuous models.
• Credibility Theory: Apply Bühlmann and Bühlmann-Straub models and understand the relationship of these to the Bayesian model. Apply conjugate priors in Bayesian analysis and in particular the Poisson-gamma model. Apply empirical Bayesian methods in the nonparametric and semiparametric cases.
Seminar 5: 1/24
10:00 AM - 2:00 PM EST
Rate Making, Reserving, and Insurance Coverages
• Casualty Insurance Topics
• Medical and Dental Coverage, Property and Casualty Coverage
• Pricing: Pure Premium and Loss Ratio
• Reserving: Estimating unpaid losses from a run-off triangle, using
• Chain ladder
• Average cost per claim
• Bornhuetter Ferguson

Join Our Group for The Exam STAM 5-Week Pass Preparation Bootcamp and Prepare to Pass STAM in February