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R Programming for Actuarial Science and Financial Mathematics provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. It equips the student with knowledge of statistical distributions and methods to summarize data.

This book provides coding at a basic to intermediate level in respect of numerous actuarial applications, and real-life examples are included with every topic. Whilst each chapter includes a certain amount of theory, the length of which will depend on the complexity of the topic, this book is intended as complimentary to actuarial textbooks which set out all the theory which is required. The key message from the book is that students can gain a much better understanding of the underlying mathematical and statistical principles by writing their own code.

Topics addressed include:

• Compound interest
• Statistical inference
• Asset-liability matching
• Time series
• Loss distributions
• Contingencies
• Mortality models
• Option pricing