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This classic textbook covers all aspects of risk theory in a practical way. It builds on from the late R.E. Beard's extremely popular book;
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for Exam C of the Society of Actuaries (SOA) while emphasizing the concepts and practical application of nonlife actuarial models. Ideal for;
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the subject of Risk Theory. It can also be used by actuaries and financial practitioners for the optimization of their decisions and further;
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risks. For efficient risk management, actuaries need to be able to answer fundamental questions such as: Is the correlation structure dangerous;
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Reflecting the author's wealth of experience in this field, Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice;
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risk; Life risk; Operational risk; and Business risk. The main benefit of Risk Management for Insurers is that it emphasizes the practical risk;
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Apart from standard actuarial theory, Modern Actuarial Risk Theory contains methods that are relevant for actuarial practice, for;
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complete econometric methodology for quantifying and managing this underappreciated but important variety of risk. The book presents a course;
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continued through each chapter Covers the classical areas of risk theory and loss distributions Gives a practical but rigorous treatment of modern;
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, there is a new dynamically developing field for actuaries as a result of the emphasis now on the measurement of risk. This book provides the;
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finance - with practical tools to solve real-world problems. The authors cover methods for market, credit, and operational risk modelling; place;
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probabilistic methods for the modelling of risk, including short-term risk modelling, model-based pricing, risk-sharing, ruin theory and credibility. It;
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There are a wide range of variables for actuaries to consider when calculating a motorist's insurance premium, such as age, gender and type;
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of Actuaries, where she is a frequent speaker. Her research covers topics in life insurance solvency and risk management, with particular emphasis on;
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Financial Mathematics For Actuaries;
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for Insurers is that it emphasises the practical risk management concepts, rather than technical calculations and detailed theory, making it;
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Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data;
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Financial Mathematics for Actuaries is a textbook for students in actuarial science, quantitative finance, financial engineering and;
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a valuable reference for professional actuaries, actuarial students, and anyone who works with loss and risk models.;
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This unique book is a guide for students and graduates of mathematics, statistics, economics, finance, and other number-based disciplines;
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vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed;
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actuaries. Provides a link between theory and practice and helps readers understand the blend of qualitative and quantitative skills and;
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of modeling through the use of tools related to risk theory, loss distributions, and survival models. The book uses these methods to construct and;
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applications and extensions. Actuaries and researchers working in risk management and premium pricing will find this book particularly interesting;
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Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data;
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Coogan-Pushner deliver a holistic roadmap to credit risk management (CRM) ideal for students and the busy professional. The authors have;
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predicted accurately. This prediction of risk factors and outstanding loss liabilities is the core for pricing insurance products, determining the;
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