Retirement Income Recipes in R

From Ruin Probabilities to Intelligent Drawdowns

Éditeur :

Springer

Paru le : 2020-09-26

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 quantita...
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Éditeur

Collection
n.c

Parution
2020-09-26

Pages
302 pages

EAN papier
9783030514334

Auteur(s) du livre


Moshe Arye Milevsky is a tenured professor of finance at the Schulich School of Business and a member of the Graduate Faculty in Mathematics and Statistics at York University in Toronto, Canada, where he teaches courses on wealth management, insurance and retirement planning. He has written over sixty-five peer-reviewed articles, and this is his fifteenth published book. His prior work, King William’s Tontine: Why the Retirement Annuity of the Future Should Resemble Its Past, was awarded the Kulp-Wright Book Award from the American Risk and Insurance Association.  Professor Milevsky is an Associate Editor of Insurance: Mathematics & Economics, as well as The Journal of Pension Economics & Finance. He is also a Fellow of the Fields Institute for Research in Mathematical Sciences, where he was previously a member of the board of directors and active in their scientific and commercial activities. In additionto his scholarly work Professor Milevsky is a well-known industry consultant, keynote speaker and fin-tech entrepreneur, with a number of U.S. patents. He was named by Investment Advisor Magazine as one of the 35 most influential people in the U.S. financial advisory business during the last 35 years and received a lifetime achievement award from the Retirement Income Industry Association. He recently joined forces with Guardian Capital Group (Canada) to help implement many of the ideas contained in this book.

Caractéristiques détaillées - droits

EAN PDF
9783030514341
Prix
73,84 €
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
20654 Ko
EAN EPUB
9783030514341
Prix
73,84 €
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
25088 Ko

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