R Programming for Actuarial Science

Professional resource providing basic to intermediate levels of R coding in respect of actuarial applications, with real-life examples

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, equipping the student with knowledge of statistical distributions and methods to summarize data. The authors have a combined experience of 20 years in actuarial consultancies and insurance companies, as well as over 20 years in university teaching and research.

In R Programming for Actuarial Science and Financial Mathematics, readers will find:

• Basic theory for each chapter--the length matching the complexity of the topic--to complement other actuarial textbooks which provide foundational theory in depth
• Information on compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing
• Exercises to write code, to enable students to gain a better understanding of underlying mathematical and statistical principles
• An overall basic to intermediate level of coverage in respect of numerous actuarial applications, and real-life examples included with every topic

Providing a highly useful combination of practical discussion and basic theory, R Programming for Actuarial Science and Financial Mathematics is an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with little programming experience, along with undergraduate students studying finance, business, and economics.