Adaptive Markets: Financial Market Dynamics and Human Behavior

  • Free
  • No certificate
  • 13 weeks
Provider
MIT
Course code
15.481x
Cost
Free
Certificate
No certificate
Duration
13 weeks
Format
Self-paced
Language
English
Updated
2022
Subjects
Business
Source
MIT Open Learning
Last verified
20 Oct 2026

15.481x Adaptive Markets is an MIT Sloan course by finance professor Andrew Lo, available free in the Open Learning Library. It takes on the debate between the efficient markets view of modern finance and the behavioural view that investors and markets are irrational, and proposes a framework, the Adaptive Markets Hypothesis, in which rationality and irrationality coexist. Drawing on psychology, evolutionary biology, neuroscience and artificial intelligence, the course argues that market efficiency is incomplete rather than wrong: when markets are unstable investors react instinctively, creating inefficiencies others can exploit.

The eleven units start with financial orthodoxy, then reject the random walk and efficient markets, cover behavioural biases and the neuroscience of decision-making, evolution and the origin of behaviour, the Adaptive Markets Hypothesis itself, hedge funds as the Galapagos Islands of finance, applications of the hypothesis, the financial crisis, ethics, and the future of finance. MIT estimates 13 weeks. The course is self-paced, you may browse anonymously or enrol free to track progress, and, as with everything in the Open Learning Library, there are no fees and no certificate.

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What you’ll learn

  • Explain the limits of rationality and market efficiency
  • Describe the psychological, neuroscientific and evolutionary roots of investor behaviour
  • Formulate the Adaptive Markets Hypothesis
  • Apply the hypothesis to hedge funds, the 2008 financial crisis and COVID-19
  • Consider the ethical implications and high-impact applications of adaptive markets

Who it’s for

Investors, finance students and readers of behavioural economics who want a research-based account of why markets misbehave; no formal prerequisites are listed.

Source: MIT Open Learning (opens in a new tab) · Verified · Report a change

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