1.

Record Nr.

UNINA9910576868103321

Autore

Milevsky Moshe Arye

Titolo

How to Build a Modern Tontine : Algorithms, Scripts and Tips / / by Moshe Arye Milevsky

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (XXI, 156 p. 35 illus., 30 illus. in color.)

Collana

Future of Business and Finance, , 2662-2475

Disciplina

300.727

Soggetti

Statistics

Financial risk management

Actuarial science

Social sciences - Mathematics

Statistics in Business, Management, Economics, Finance, Insurance

Risk Management

Actuarial Mathematics

Mathematics in Business, Economics and Finance

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1. Why Tontines? Why Now? -- 2. Financial & Actuarial Background -- 3. Building a Tontine Simulation in R -- 4. Statistical Risk Management -- 5. Death Benefits, Refunds & Covenants -- 6. Goodbye LogNormal Distribution -- 7. Squeezing the Most from Mortality -- 8. Managing a Competitive Tontine Business -- 9. Solutions & Advanced Hints -- 10. Concluding Remarks: Tontine Thinking.

Sommario/riassunto

This open access book introduces the modern tontine and its applications in retirement and decumulation. Personal financial management in the later stages of life presents unique challenges, and renowned retirement planning expert Dr. Milevsky proposes the modern tontine as a solution. With the goal of guiding professionals and retirees in more efficient decumulation, the book demonstrates how to build a modern tontine. It is technically oriented, employing a cookbook format, featuring R code, and examining retirement planning through a statistical lens. This how-to guide, which is a sequel to his



2020 book Retirement Income Recipes in R, will be invaluable for retirement planning professionals and advisors, as well as for PhD scholars in retirement planning, quantitative finance, and related fields. This book is open access.