Conventional actuarial study advice: Buy a manual, read through each chapter, do as many practice problems as possible, and spend 100 hours per exam hour in preparation for the exam. Is there a better way? This is the fundamental question addressed in Actuarial Exam Tactics: Learn More While Studying Less. In this book, you will find actionable advice to questions such as: <ul>
<li>What parts of the material should I focus on more than others?</li> <li>How can I make my review sessions more productive? (When and How to review)</li> <li>What is the best way to structure my study sessions to be more productive?</li> <li>How can I pass the exams while spending less time than "100 study hours per exam hour"?</li>
</ul>
This book presents the study strategies that helped Roy Ju become the world's youngest actuary, finishing the exams at the age of 20. At this point, most actuarial students will be asking: these strategies worked for Roy, but will they work for the average actuarial student? This was the primary question that co-author Mike Jennings asked when first learning of Roy's strategies. After 1.5 years of testing these strategies and accelerating his own exam process (passing 2 preliminary exams, a fellowship exam, the FAP modules and the FSA modules over this period), Mike knew that he and Roy had to share these strategies with all actuarial students. With early endorsement from professors and actuaries who have been through the exam process, this book is sure to transform the study habits of actuarial students to help them pass their exams while maintaining a healthy work-life balance. For free sample chapters, visit RethinkStudying.com/book.

Actuarial Exam Tactics: Learn More, Study Less

Mike Jennings

Roy Ju

Actex Learning

Spiral Bound- Like new. ACTEX Society of Actuaries Exam P Study Manual 2016 Edition

ACTEX SOA Exam P Study Manual

Samuel A. Broverman

SOA Exam MLC Study Manual, Spring 2018 Edition

P.h.D. Johnny Li

This efficient and effective book was written specifically for actuarial students and those who are considering an actuarial career. It includes detailed information on the various actuarial organizations in the United States, Canada and beyond, along with descriptions of many organizations' education programs. Topics covered include techniques to maximize success on the exams, non-technical skills critical to longer-term success in the profession, and career advice. It is a perfect single-source career development reference for aspiring actuaries. "Given that you can spend over 300 hours studying for just one actuarial examination, it is well worth an investment of two to three hours to read this fine summary of how to study for and write actuarial exams. Written in an easy style, this book is full of sound suggestions to improve your efficiency on these trying examinations. Not only that, but if you follow the advice given faithfully, it could just make the difference between receiving a six versus a five." -Robert L. Brown, Professor Emeritus, University of Waterloo; Past President, Society of Actuaries and International Actuarial Association Nicholas Mocciolo, FSA, FRM has worked for over fifteen years in the insurance industry, specializing in the areas of investment management, risk management, and trading. He attained his FSA in May 2004, having passed all of his actuarial exams on the first attempt. Stephen J. Camilli, FSA has taught mathematics at both the high school and university level. He has served as Director of International Risk for UNUM, working in Buenos Aires, Hong Kong and Tokyo and has experience in pension consulting with Hewitt Associates. He co-founded a network of food banks in Argentina and is fluent in Spanish. He is currently the President of ACTEX Learning.

Actuarial Learning: A Guidebook to Exam Success and Workplace Advancement

Stephen J. Camilli

Healthcare Risk Adjustment and Predictive Modeling, 2nd edition, provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. 
 The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare Advantage, ACA Exchanges, ACOs disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to test datasets. 
 "Across the developed world, there is a growing trend for health systems to focus on the Triple Aim of improving quality, improving patients' experience of care, while reducing per capita costs. One approach to achieving the Triple Aim is to predict and prevent so-called Triple Fail events (i.e., events that are simultaneously low quality, high cost, and represent a poor patient experience). Now in its second edition, this book is rapidly becoming required reading for all those who are interested in adopting this approach to the Triple Aim." - Dr. Geraint Lewis, FRCP, FFPH, Chief Data Office NHS England 
 "All in all, this is the work of a superbly mathematical yet practical mind. Ian Duncan's work is a brilliant exposition of analytical techniques, coupled with a masterful explanation of how to apply health risk analysis in a series of relevant, real world case studies." - Regina E. Herzlinger, Nancy R. McPherson Professor Business Administration, Harvard Business School

Healthcare Risk Adjustment & Predictive Modeling

Ian Duncan

ACTEX SOA Exam FM Study Manual

Unknown, Author

Statutory Valuation of Individual Life and Annuity Contracts, Vol 1

Louis J. Lombardi

Donna R. Claire

Sheldon D. Summers

Statutory Valuation of Individual Life and Annuity Contracts, Vol 2

This book is written primarily for actuarial students and practitioners who wish to learn the basic fundamentals and applications of modern statistical methods using R programming. It provides data analytic tools utilizing supervised and unsupervised learning, as well as time series and simulation models. Twelve practical case studies demonstrate applications of topics that include generalized linear models, decision trees, principal component analysis and cluster analysis. This book covers several topics on data analysis and statistical learning prescribed by the International Actuarial Association (IAA). In particular, it has been designed to cover the learning objectives for the SOA's Statistics for Risk Modeling (SRM) Exam. Many materials from this book also cover parts of the syllabus for the CAS Modern Actuarial Statistics (MAS-I and MAS-II) Exam. It is broadly intended for students and practitioners to learn R programming and its applications in actuarial science, finance, and quantitative risk management. This book differs from existing books in several ways. First, it is uniquely prepared as a single source to cover traditional and modern methods of data analytics. Second, it teaches the steps of how to implement and validate models in R at an elementary level. Third, it gives students the opportunity to experience the power of applied statistics and R programming first-hand with real world problems. Finally, it provides a theoretical framework, but at the same time, uses the case study method to better connect theory and practice and bridge the gap between academia and industry.

Actuarial Statistics with R: Theory and Case Studies

Guojun Gan

Emilio Valdez

ACTEX Exam FM Study Manual Volume II (Spiral-bound)

John B. Dinius

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