

Gordon Irlam: (Near) Optimal Retirement Planning using Machine Learning (EP.165)
Sep 2, 2021
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 3min
What Did You Do With Your Google Equity After the Ipo?
02:41 • 2min
Did the Windfall From That Transaction Change Your Life?
04:35 • 2min
Effective Altruism
06:24 • 3min
Donor Advised Funds
09:46 • 2min
Can You Optimise the Time for Spending From a Foundation?
11:40 • 3min
Are You Taking Too Much Risk?
14:25 • 3min
The Utility of Consumption
17:40 • 2min
Is Stochastic Dynamic Programming Better Than Reenforcement Learning?
19:40 • 3min
Retort Learning
23:00 • 2min
Are Annuities a Better Retirement Option?
24:30 • 2min
Is There a Rule of Thumb in Reenforcement Learning?
26:31 • 3min
Is Variable Spending a Good Idea?
29:08 • 2min
How Important Is Mean Reversion in Stock Returns?
30:58 • 2min
Is Mean Reversion Clustering a Thing?
32:50 • 2min
Personal Financial Planning - What's the Key Message You Want to Get Across?
35:04 • 2min
The Next Big Innovation in the Portfolio Problem in Over 50 Years?
36:37 • 4min