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Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent book gives complete syllabus coverage for Exam C of the Society of Actuaries (SOA) while emphasizing the concepts and practical application of nonlife actuarial models. Ideal for those approaching their professional exams, it is also a class-tested textbook for undergraduate university courses in actuarial science. All the topics that students need to prepare for Exam C are here, including modeling of losses, risk and ruin theory, credibility theory and applications, and empirical implementation of loss models. The book also covers more recent topics, such as risk measures and bootstrapping. Readers are assumed to have studied statistical inference and probability at the introductory undergraduate level. Numerous examples and exercises are provided, with many exercises adapted from past Exam C questions. Computational notes on the use of Excel are included. Teaching slides are available for download.

Actuarial science --- 368.00 --- 51 --- 657.02 --- AA / International- internationaal --- Statistics --- Insurance --- Theorieën over verzekeringen. Actuariële wetenschappen --- Wiskunde --- Handelsrekenen. Financiële algebra. Actuariële wiskunde. Aflossingstabellen --- Mathematics --- Seguros --- Matemáticas actuariales --- Computer simulation. --- Mathematical Sciences --- Probability

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Actuarial mathematics --- Finance --- Insurance --- Business mathematics. --- Actuaries. --- Finances --- Mathématiques financières --- Assurance --- Actuaires --- Statistical methods. --- Mathematics. --- Méthodes statistiques --- Mathématiques --- Mathématiques financières --- Méthodes statistiques --- Mathématiques

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This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including Nobel laureate Lawrence Klein. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial econometrics. Moreover, readers will find these chapters useful as a guide to the literature as

Econometrics. --- Finance --- Econometric models. --- Econometrics --- Econometric models