Glossary

Anchoring

Anchoring is a cognitive bias in which people give disproportionate weight to an initial piece of information, or anchor, when making later estimates or decisions, even when that starting point is arbitrary.

What Is Anchoring?

Anchoring is a tendency to rely too heavily on the first number, price, or fact encountered when judging something uncertain. That first reference point, called the anchor, pulls later estimates toward it, even when the anchor has little real connection to the value being judged. The idea was documented in the 1970s by psychologists Amos Tversky and Daniel Kahneman as part of their research on heuristics, the mental shortcuts people use to make decisions quickly.

How Anchoring Appears in Investing

Investors often anchor to figures that are easy to recall rather than figures that reflect current conditions. Common examples include:

  • The price at which they originally bought a stock, which can make a loss feel like it must be recovered before selling
  • A stock's recent 52-week high, which may make a lower current price seem like a bargain
  • A round number, such as a target price, that becomes a mental benchmark
  • An analyst's price target published before new earnings or news

In each case, the anchor may be unrelated to what the company is currently worth. The investor's estimate then adjusts only partly away from it.

Why It Matters

Anchoring can influence how much an investor is willing to pay, when they decide to sell, and how they interpret new information. For example, a person who fixed on a previous high might hold a declining asset longer than its fundamentals suggest, or might view a fall from that high as a discount without assessing whether the business has weakened. Anchoring often works alongside loss aversion and the sunk cost fallacy, which can make the anchor harder to abandon.

Researchers in behavioral finance study these patterns to understand how real investors differ from the purely rational decision-makers assumed in some traditional models. Recognizing the bias is a first step toward checking whether a reference point is actually relevant to a decision.

Updated October 15, 2026. For general education only; not financial, tax or legal advice.

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