R Programming for Actuarial Science

Inbunden, Engelska, 2023

811 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

R Programming for Actuarial Science Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. In R Programming for Actuarial Science, readers will find: Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth.Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses. More than 400 coding examples and exercises, most with solutions, 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 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.

Produktinformation

Utgivningsdatum:2023-11-16
Mått:170 x 244 x 43 mm
Vikt:1 247 g
Format:Inbunden
Språk:Engelska
Antal sidor:640
Förlag:John Wiley & Sons Inc
ISBN:9781119754978

Utforska kategorier

Matematik inom Naturvetenskap och teknik

Mer om författaren

Peter McQuire, FIA, is a Lecturer in Actuarial Science at the University of Kent. He has 18 years of experience in pension scheme consultancy and risk management, and more than 10 years teaching at the University. He is a Fellow of the Institute and Faculty of Actuaries. Dr. Alfred Kume is a Senior Lecturer in Statistics at the University of Kent with more than 20 years of teaching experience and exposure to general insurance.

Innehållsförteckning

About the Companion Website xxiIntroduction 11 R : What You Need to Know to Get Started 92 Functions in R 333 Financial Mathematics (1): Interest Rates and Valuing Cashflows 454 Financial Mathematics (2): Miscellaneous Examples 635 Fundamental Statistics: A Selection of Key Topics -- Dr A Kume 876 Multivariate Distributions, and Sums of Random Variables 1397 Benefits of Diversification 1478 Modern Portfolio Theory 1559 Duration -- A Measure of Interest Rate Sensitivity 17110 Asset-Liability Matching: An Introduction 17711 Hedging: Protecting Against a Fall in Equity Markets 18712 Immunisation -- Redington and Beyond 19513 Copulas 21114 Copulas -- A Modelling Exercise 23715 Bond Portfolio Valuation: A Simple Credit Risk Model 24716 The Markov 2-State Mortality Model 25917 Approaches to Fitting Mortality Models: The Markov 2-state Model and an Introduction to Splines 27318 Assessing the Suitability of Mortality Models: Statistical Tests 29519 The Lee-Carter Model 31120 The Kaplan-Meier Estimator 32921 Cox Proportionate Hazards Regression Model 33922 Markov Multiple State Models: Applications to Life Contingencies 35123 Contingencies I 38324 Contingencies II 40325 Actuarial Risk Theory -- An Introduction: Collective and Individual Risk Models 44726 Collective Risk Models: Exercise 47327 Generalised Linear Models: Poisson Regression 48128 Extreme Value Theory 50129 Introduction to Machine Learning: k-Nearest Neighbours (kNN) 51330 Time Series Modelling in R -- Dr A Kume 52331 Volatility Models -- GARCH 55132 Modelling Future Stock Prices Using Geometric Brownian Motion: An Introduction 57133 Financial Options: Pricing, Characteristics, and Strategies 585Index 605