Longevity Analytics Explained
Moshe A. Milevsky is a leading authority on the intersection of wealth management, financial mathematics and insurance.
As a tenured professor in a business school he has one foot planted squarely in the ivory tower and the other in the commercial world, with a unique communication style and talent for explaining complex ideas clearly and with humor.
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Speaking & LecturesLearn about his public keynote presentations and availability for speaking engagements.
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University & ResearchLearn about his teaching and research at the Schulich School of Business, York University.
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Books & WritingLearn about popular books and scholarly articles he has recently published.
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Consulting & CoachingProf. Milevsky has interests in a number of commercial ventures, which are explained and disclosed here.
Moshe A. Milevsky is a finance professor at the Schulich School of Business at York University in Toronto. He is also a member of the graduate faculty in the Department of Mathematics and Statistics and Managing Director of PiLECo.
Moshe A. Milevsky has published 13 books (translated into 6 languages) and over sixty peer-reviewed scholarly papers in addition to hundreds of popular articles and blog pieces. In addition to being an award-winning author, he is a fin-tech entrepreneur with a number of U.S. patents and computational innovations in the retirement income space. 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 he received a lifetime achievement award from the Retirement Income Industry Association.
My day-job at the University revolves around teaching undergraduate, graduate and doctoral students, courses on wealth management, investments, insurance, pensions and retirement planning.
As part of my academic responsibilities, I publish books, popular articles and technical papers, many of which you can download or link-to from this website.
My current research interests revolve around the area of financial history and the evolution of (retirement) insurance & annuity products over the centuries.
#Covid19SilverLining Teenage daughters asking questions (family dinners!) on conditional probabilities, statistics and inference. E.g., what are the odds our WiFi will slow down?, and/or will malls open in the next month, etc.
Uhm...Ok. 🤔 I’ll try reading this again tonight after a G&T. https://t.co/2QQEYc6bw3
#NewProfilePic https://t.co/EsGhEBX35N
The puts “didn’t work”?!? https://t.co/V041QMdxXg
Thanks Tom! https://t.co/kQEbGBDu50
Ok. Perhaps not the best time to talk about longevity, but I very much enjoyed my chat with Alex and Don. https://t.co/cSXEygRKsD
Typical. Reads like our convoluted tax code. A broad list of 75 business that can remain open. Why not list (very clearly) the handful of stores that should shut? https://t.co/vcPjAfeotY
Are liquor stores considered “essential services?” A few weeks ago, perhaps not. After an entire week at home, absolutely. #ShutDown
Thank you to my book editor at @SpringerNature for (11 months ago) giving me a May/1st, 2020 deadline to complete a manuscript. Whereas the deadline seemed unfeasible just a few months ago, that ticking clock is a wonderful distraction from the craziness around me.
My (Jewish) mother-in-law asked what I was planning to do at home for the next weeks & months, if I wasn’t traveling. I said: “Hoping to finish a book." She replied: “Surely you can read more than a book in a month!”
RetirementQuant Retweeted
RT @MoneyGal: @rcarrick Widespread, sudden illness makes life insurance salient! See @RetirementQuant's https://t.co/nkU8RnKmqR https://t.…
RetirementQuant Retweeted
RT @jburnmurdoch: NEW: our most substantial update yet of the coronavirus case trajectory tracker • Now showing China’s early trajectory f…
#Gompertz https://t.co/hwAfejCNmU
I have a bunch of teenage girls who are getting a bit “freaked out” about the situation. This graphic gave them some measure of comfort. Thank you #Gompertz. https://t.co/Ut7GyI8whl
An implication of stochastic mean-reverting mortality is that above average deaths are brought “forward” from later periods. If this is true, mortality rates will be lower than average (for that age group) after the shock to mortality has subsided. #TestableHypothesis