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Behavioral Finance

Explore how cognitive biases like overconfidence, anchoring, and loss aversion affect investor decisions and market prices. Behavioral finance challenges the assumption that markets are perfectly efficient by documenting systematic patterns in how real people make financial decisions.

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Key Concepts

1
Overconfidence bias
2
Anchoring and adjustment
3
Loss aversion and prospect theory
4
Herding behavior and momentum
5
Mental accounting
6
Disposition effect (selling winners, holding losers)
7
Framing effects on investment decisions
8
Market anomalies (January effect, value premium)

Study Tips

  • Behavioral finance challenges the efficient market hypothesis
  • Know key biases by name and example
  • Prospect theory says losses hurt more than gains feel good
  • Link biases to real market anomalies

Common Mistakes to Avoid

Treating behavioral finance as unscientific. It is backed by Nobel Prize-winning research (Kahneman, Thaler) and explains real market patterns. Students also confuse behavioral biases with irrational behavior; these biases are predictable and systematic.

Behavioral Finance FAQs

Common questions about behavioral finance

Not entirely. It shows markets are not always perfectly efficient and that predictable biases can create temporary mispricings. Whether these mispricings are exploitable after transaction costs remains debated.

A model by Kahneman and Tversky showing that people weigh losses roughly twice as heavily as equivalent gains. This explains why investors hold losing stocks too long (hoping to break even) and sell winners too quickly (locking in gains).

The tendency for investors to sell winning investments too early and hold losing investments too long. It stems from loss aversion: realizing a loss feels painful, so investors delay it, while realizing a gain feels good, so they rush it.

Related Topics

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