The Psychology of Money
Explore how deep-seated psychological patterns shape our relationship with money and investing, especially in the volatile world of cryptocurrency.
19 min · intermediate · part of Crypto Psychology & Behavioral Finance
What you'll learn
- Your Brain on Money
- Prospect Theory and Loss Aversion
- Anchoring: The Price You Cannot Forget
- Mental Accounting: The Money in Different Pockets
- Confirmation Bias and Overconfidence
- Recency Bias and Survivorship Bias
- For Deeper Reading
Key terms
- Prospect Theory
- The behavioral economic model developed by Kahneman and Tversky (1979) describing how people evaluate gains and losses relative to a reference point, with losses weighted approximately 2.25 times as heavily as equivalent gains.
- Loss aversion
- The well-documented psychological tendency for the pain of losses to feel approximately twice as intense as the pleasure of equivalent gains.
- Reference point
- The baseline (often a purchase price) against which gains and losses are evaluated; a central concept in Prospect Theory.
- Endowment effect
- The tendency to value something more highly simply because you own it, leading investors to hold losing positions longer than rational analysis would justify.
- Anchoring
- A cognitive bias where people rely too heavily on an initial reference point (such as a purchase price or all-time high) when making subsequent decisions.
- Mental accounting
- Thaler's concept describing how people categorize and treat money differently based on its source or intended use, violating economic fungibility.
- House money effect
- The tendency to take greater risks with money perceived as recent gains ("house money") than with money perceived as principal.
- Confirmation bias
- The tendency to seek out, interpret, and remember information that confirms existing beliefs while ignoring contradicting evidence.
- Overconfidence bias
- The tendency to overestimate one's knowledge, abilities, or the precision of one's predictions, especially after initial successes.
- Recency bias
- The tendency to weight recent events more heavily than older ones when forming expectations about the future.
- Survivorship bias
- The logical error of focusing on the people or projects that survived a selection process while ignoring those that did not, leading to systematically distorted conclusions.
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Open lessonEducational only — not financial advice.
