Explore the intersection of artificial intelligence and financial technology in this thought-provoking lecture by Andrew W. Lo from MIT. Delve into concepts like Digital Technology, Financial Moore's Law, and Precision Indexes while examining the theory of economic behavior and the Adaptive Markets Hypothesis. Investigate the "Freakout Factor" in investment decisions, analyze data on investor behavior, and consider the implications for married investors and high-performing traders. Gain insights into the future of fintech and ponder the age-old question: Is greed truly good in the world of finance?
Artificial Stupidity: The New AI and the Future of Fintech
Overview
Syllabus
Introduction
Motivation
Technology
Digital Technology
Financial Moores Law
Precision Indexes
Smart Beta
Personal Indexes
Artificial Stupidity
The Missing Link
The Theory of Economic Behavior
Theory of Actual Behavior
Satisficing
Evolutionary Perspective
Adaptive Markets Hypothesis
Decision Making
The Facts
The Problem
The Implications
The Freakout Factor
Freakout Definition
The Data
Freakouts
Freakouts Returns
Freakouts Returns Graph
Who is going to freak out
The paper
The quiz
Married investors
Excellent investors
More likely
You see
Teaser
Is Greed Good
Greed Works
Taught by
Simons Institute
