InsuranceNewsNet Magazine - June 2022

Page 12

INTERVIEW

R

ecord inflation. Skyrocketing long-term care costs. The widening retirement income gap. All these things can lead would-be retirees to believe that the post-employment years are a time to fear. But it doesn’t have to be that way. Moshe Milevsky has researched the evolution of retirement insurance and annuity products over the centuries. He believes that advisors can relieve clients’ fears around retirement by building a portfolio that considers their biological age and their support systems as well as their financial needs. And annuities are a crucial part of the plan. Milevsky is a finance professor at the Schulich School of Business at York University in Toronto. He also is a member of the graduate faculty in the Department of Mathematics and Statistics. He has published 15 books and is a fintech entrepreneur with a number of U.S. patents in the retirement income space. With one foot in the ivory tower of academia and the other in the financial world, Milevsky has a unique perspective on the science of retirement planning. In this interview with Publisher Paul Feldman, Milevsky discusses the concept of “pensionizing” a retirement nest egg and speculates about whether the tontine could ever make a comeback.

DON’T WORRY; RETIRE HAPPY Moshe Milevsky discusses why annuities are the key to “pensionizing” a nest egg and planning for a worry-free retirement. An interview with Paul Feldman, Publisher 8

InsuranceNewsNet Magazine » June 2022

PAUL FELDMAN: Tell us how you became a finance expert. MOSHE MILEVSKY: My day job is teaching undergraduate and graduate students at the university. I teach finance and investments and insurance. I studied physics and mathematics at Yeshiva University in New York; then I went to graduate school. I was fascinated by gravitational physics — how gravity affects objects as they move, such as how a golf ball moves across the course in an arc. My thesis supervisor said I would never get a job anywhere with that sort of specialty. She said, “If you want a job, you want to do something more practical than modeling equations.” She said I should go to business school and apply my math skills


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