Exam PA Study Guide with Instructional Videos 12th Edition Author: Lo

ISBN(s): 979-8-89016-287-8 | 979-8-89016-288-5 | 979-8-89016-289-2 | 979-8-89016-290-8

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Don't Leave Success to Chance—Master the PA Exam with Confidence!

  • Study manual - read, learn and gain a strong conceptual understanding of the material
  • Instructional Videos - gain deep understanding and visuals to bring extra to your learning
  • Formula sheets - Recall important formulas and information in an easy to use format

Manual currently on Pre-Order

PA Study Manual

Begin preparing for the Predictive Analytics SOA exam with a first-class manual written by a predictive analytics expert. Our Study Guide offers personalized learning on a schedule that works for you. This manual is designed to help you develop a conceptual understanding of and hands-on experience with the Exam PA as effectively and efficiently as possible so you pass on the first try.

The Exam PA study manual contains:

  • 1000+ pages of comprehensive, exam-focused information with full syllabus coverage
  • Over 115 exercises interspersed throughout the manual
  • 98 end-of-chapter conceptual review questions
  • 2 Practice Exams
  • Commentary on past SOA PA Exams since June 2019
  • All datasets, and R markdown files used are available for download

Instructional Videos

Retain more information with our helpful videos that cover key topics in the syllabus. Designed to help you understand the most complex topics and add substantial value to your learning.

We've got you covered with:

  • Over 60 instructional videos (covering the core material of Chapters 1-6 of the manual)
  • Many hours of video content that walk you through fundamental concepts in PA and the construction of predictive models in R step by step
  • Visuals to bring extra value to your learning
  • Strong emphasis on key test items in Exam PA

About the Authors

Ambrose Lo Ph.D., FSA, CERA

Ambrose Lo, PhD, FSA, CERA, is the author of several study manuals for professional actuarial examinations and an Adjunct Associate Professor at the Department of Statistics and Actuarial Science, the University of Hong Kong (HKU). He earned his BS in Actuarial Science (first class honors) and PhD in Actuarial Science from HKU in 2010 and 2014, respectively, and attained his Fellowship of the Society of Actuaries (FSA) in 2013. He joined the Department of Statistics and Actuarial Science, the University of Iowa (UI) as Assistant Professor of Actuarial Science in August 2014, and was promoted to Associate Professor with tenure in July 2019. His research interests lie in dependence structures, quantitative risk management as well as optimal (re)insurance. His research papers have been published in top-tier actuarial journals, such as ASTIN Bulletin: The Journal of the International Actuarial Association, Insurance: Mathematics and Economics, and Scandinavian Actuarial Journal. He left the UI and returned to Hong Kong in July 2023.

Besides dedicating himself to actuarial research, Ambrose attaches equal (if not more!) importance to teaching and education, through which he nurtures the next generation of actuaries and serves the actuarial profession. He has taught courses on a wide range of actuarial science topics, such as financial derivatives, mathematics of finance, life contingencies, and statistics for risk modeling. He is the (co)author of the ACTEX Study Manuals for Exams ATPA, MAS-I, MAS-II, PA, and SRM, a Study Manual for Exam FAM, and the textbook Derivative Pricing: A Problem-Based Primer (2018) published by Chapman & Hall/CRC Press. Although helping students pass actuarial exams is an important goal of his teaching, inculcating students with a thorough understanding of the subject and logical reasoning is always his top priority. In recognition of his outstanding teaching, Ambrose has received a number of awards and honors ever since he was a graduate student, including the 2012 Excellent Teaching Assistant Award from the Faculty of Science, HKU, public recognition in the Daily Iowan as a faculty member "making a positive difference in students' lives during their time at UI" for nine years in a row (2016 to 2024), and the 2019-2020 Collegiate Teaching Award from the UI College of Liberal Arts and Sciences.

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