Главная
Study mode:
on
1
Introduction
2
Motivation
3
Technology
4
Digital Technology
5
Financial Moores Law
6
Precision Indexes
7
Smart Beta
8
Personal Indexes
9
Artificial Stupidity
10
The Missing Link
11
The Theory of Economic Behavior
12
Theory of Actual Behavior
13
Satisficing
14
Evolutionary Perspective
15
Adaptive Markets Hypothesis
16
Decision Making
17
The Facts
18
The Problem
19
The Implications
20
The Freakout Factor
21
Freakout Definition
22
The Data
23
Freakouts
24
Freakouts Returns
25
Freakouts Returns Graph
26
Who is going to freak out
27
The paper
28
The quiz
29
Married investors
30
Excellent investors
31
More likely
32
You see
33
Teaser
34
Is Greed Good
35
Greed Works
Description:
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

Simons Institute
Add to list