Lecture 11 - Behavioral Finance

Deviating from an absolute belief in the principle of rationality, Professor Shiller elaborates on human failings and foibles. Acknowledging impulses to exploit these weaknesses, he emphasizes the role of factors that keep these impulses in check, specifically the desire for praise-worthiness from Adam Smith's The Theory of Moral Sentiments.

After a discourse on Personality Psychology, Professor Shiller starts a list of important topics in Behavioral Finance with Daniel Kahneman's and Amos's Tversky's Prospect Theory. The value function and the probability weighting function, as two key components of this theory, help explain certain patterns in people's everyday decision making, e.g. the existence of diamond ring insurance and airline flight insurance. An in-class experiment underscores the prevalence and importance of the concept of overconfidence. Further topics include Regret Theory, gambling behavior, cognitive dissonance, anchoring, the representativeness heuristic, and social contagion.

Professor Shiller concludes the lecture with some perspectives on moral judgment in the business world, addressing shared values and integrity.

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.