This book provides computational tools that readers can use to flourish in the retirement income industry. Each chapter describes recipe-like algorithms and explains how to implement them via simple scripts in the freely available R coding language. Students can use those skills to generate quantitative answers to the most common questions in retirement income planning, as well as to develop a deeper understanding of the finance and economics underlying the field itself. The book will be an excellent asset for experienced students who are interested in advanced wealth management, and specifically within courses that focus on holistic modeling of the retirement income process. The material will also be useful to current and future wealth man...
This paper presents the use of @RISK simulation to estimate the value of a long-term investment in a...
Modern Actuarial Risk Theory -- Using R contains what every actuary needs to know about non-life ins...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
Abstract:- This paper describes a computer model for running individual retirement portfolios over d...
Retirement planning is a relatively new phenomenon. Life longevity and an earlier retirement age tre...
This open access book introduces the modern tontine and its applications in retirement and decumulat...
This book provides a contemporary treatment of quantitative economics, with a focus on data science....
The race is on to build frameworks to evaluate retirement income strategies for clients facing vario...
This paper describes a computer model for running individual retirement portfolios over different hi...
The new edition of this influential textbook, geared towards graduate or advanced undergraduate stud...
Very little research has been done on strategic financial planning software programming. Today's app...
I will be giving in less than four weeks a short course at the 6th R/Rmetrics Meielisalp Workshop & ...
Many risks must be managed during the post-retirement period. This chapter explores retirement plann...
Next Friday, I will give in Montréal a crash course entitled Econometric Modeling in Finance and Ins...
Focusing on what actuaries need in practice, this introductory account provides readers with essenti...
This paper presents the use of @RISK simulation to estimate the value of a long-term investment in a...
Modern Actuarial Risk Theory -- Using R contains what every actuary needs to know about non-life ins...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
Abstract:- This paper describes a computer model for running individual retirement portfolios over d...
Retirement planning is a relatively new phenomenon. Life longevity and an earlier retirement age tre...
This open access book introduces the modern tontine and its applications in retirement and decumulat...
This book provides a contemporary treatment of quantitative economics, with a focus on data science....
The race is on to build frameworks to evaluate retirement income strategies for clients facing vario...
This paper describes a computer model for running individual retirement portfolios over different hi...
The new edition of this influential textbook, geared towards graduate or advanced undergraduate stud...
Very little research has been done on strategic financial planning software programming. Today's app...
I will be giving in less than four weeks a short course at the 6th R/Rmetrics Meielisalp Workshop & ...
Many risks must be managed during the post-retirement period. This chapter explores retirement plann...
Next Friday, I will give in Montréal a crash course entitled Econometric Modeling in Finance and Ins...
Focusing on what actuaries need in practice, this introductory account provides readers with essenti...
This paper presents the use of @RISK simulation to estimate the value of a long-term investment in a...
Modern Actuarial Risk Theory -- Using R contains what every actuary needs to know about non-life ins...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...