Recency Bias
Recency bias is the tendency to give too much weight to what has happened recently and assume it will continue. In investing, it shows up as buying whatever performed best last year, or abandoning a sound plan because the last few months were painful.
A rising market feels permanently safe and a falling market feels permanently dangerous. Recency bias turns the last few months into a forecast, which is why investors so often buy high and sell low.
How recency bias shows up in investing
Investors pile into the fund or sector that topped the charts last year, often just as its run is ending. Last year's best category is frequently a middling or poor performer the following year.
After a sharp correction, investors pause or redeem SIPs because recent returns are negative, which means they stop buying at exactly the point units are cheapest.
After a strong run in small-cap or thematic funds, high returns start to feel normal, and investors raise their allocation and their return expectations.
A single bad quarter, a headline or a budget announcement leads to portfolio changes that a long-term plan never called for.
Why it happens
Recent events are vivid and easy to recall, so the brain treats them as more likely and more important. Behavioural economists link this to the availability heuristic, described by Amos Tversky and Daniel Kahneman: we judge how likely something is by how easily examples come to mind. In markets, the most recent experience is always the easiest to recall.
It is reinforced by media coverage and app dashboards that lead with 1-year returns, which keeps the short term in front of you.
Short memory
Gives recent months far more weight than decades of market history.
Buy high, sell low
Leads investors to buy after rallies and sell after falls.
Plan beats mood
A written plan and fixed rules are the most reliable antidote.
How to avoid recency bias
- Look at long histories: Judge funds on rolling returns over five years or more rather than last year's figure.
- Anchor decisions to goals: Choose investments based on your goal, timeline and risk tolerance, not on recent performance tables.
- Set an asset allocation and rebalance: A target asset allocation with scheduled rebalancing forces you to trim what has run up and add to what has fallen.
- Automate investing: Keep SIPs running through cycles so that monthly decisions are not driven by the latest headline.
- Add a cooling-off rule: Wait a set period, such as 30 days, before acting on any portfolio change triggered by recent news.
Who is most affected by recency bias
- New investors whose only market experience is a single bull run or a single crash.
- Investors who check portfolio values daily or follow market news closely.
- Anyone choosing funds from "top performers" lists ranked by 1-year returns.
- Retirees and near-retirees, for whom a recent fall can trigger an overly defensive shift that hurts long-term income.
Frequently asked questions
What is an example of recency bias in investing?
A common example is buying a small-cap or sector fund right after it delivered the highest returns of the year, assuming the trend will continue. Another is stopping a SIP after a market fall because recent returns are negative.
How is recency bias different from herd mentality?
Recency bias is about over-weighting recent events in your own judgement. Herd mentality is about following what other people are doing. They often appear together, for example when a recent rally draws in large numbers of new investors.
How can I avoid recency bias?
Use long-term data such as rolling returns, decide your asset allocation in advance, rebalance on a schedule, automate investments, and give yourself a waiting period before acting on news-driven ideas.