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Behavioural finance

Recency bias in fund picking

Walk into any UK retail investment platform's "top funds" page and you'll see funds ranked by recent returns. Buy from this list, and you're systematically buying yesterday's winners. The academic data is brutally clear: last year's top-quartile funds typically end up below-average over the next 5-10 years. This is recency bias in action — and it quietly costs UK retail investors 1-3% per year on the actively-picked portion of their portfolios.

Educational only. Past performance is not a guide to future returns. Not financial advice.

What recency bias actually is

Humans systematically overweight recent information when making predictions. A fund that returned 35% last year feels intuitively "good"; a fund that returned 5% last year feels "average"; a fund that returned −5% feels "bad". The natural impulse is to buy the 35% performer.

The problem: recent fund performance is mostly noise, not signal. It reflects:

Buying based on 1-year return is mostly buying what's already been bid up — classic "buy high" behaviour.

The academic data: persistence is rare

S&P SPIVA scorecards

S&P publishes annual SPIVA (S&P Indices Versus Active) data on fund persistence. Key findings for the latest UK / Europe data:

Translation: a fund that performed well last year is more likely to perform BELOW average over the next 5 years than to repeat its top-quartile performance. The "winners keep winning" hypothesis is empirically false in fund management.

Morningstar's "Mind the Gap" studies

Morningstar's annual "Mind the Gap" report measures the difference between:

The gap is the "behavioural cost". Latest UK / European data:

The driver: recency bias makes investors buy after good performance and sell after bad. They consistently buy high and sell low at the fund level — even when the fund itself is producing good returns.

Dalbar QAIB studies (US, applicable to UK)

Dalbar's annual Quantitative Analysis of Investor Behavior shows similar patterns. Over 20-year periods, the average investor in US equity funds underperforms the S&P 500 by 3-5% per year — almost entirely due to bad timing decisions driven by recency bias.

The UK fund tournament — how to spot the trap

Look at any UK investment platform's "Top Performers" list. They're typically displayed by:

These lists naturally surface whatever happened to do well recently. They are a recency-bias trap by design.

Real example: UK fund rotation 2020-2024

Year UK retail top sectors Next-year performance
2020Tech / growth (e.g. Scottish Mortgage IT, Baillie Gifford funds)2021: still strong; 2022: collapsed 40-60%
2021Tech, smaller companies, ESG funds2022: most fell 30-50%
2022Energy / commodities / value funds2023: mostly flat or negative
2023AI / Mag-7 / S&P 500 momentum2024: continued strongly
2024More tech, US equity, momentum2025-26: rotation pattern continues

UK retail investors who bought 2020's top performers (Scottish Mortgage at £15+) lost roughly 50% by 2022 (£7-£8). Those who then bought 2022's top performers (BP, Shell at £6-£8/share) saw modest gains as energy peaked. Those who bought 2023's winners (US tech via NDX trackers) did well... so far.

The fundamental problem: by the time a fund or sector appears on "top performer" lists, the news that drove its performance is fully priced in. You're buying at the local maximum.

Why recency feels so rational

The bias is hard to shake because it FEELS like good evidence:

Can you detect genuine fund manager skill?

Academic research suggests genuine fund-manager skill exists but is rare and hard to identify from performance alone:

The honest conclusion: very few retail investors can reliably identify skilled managers in advance. The expected value of fund-picking based on recent performance is negative.

Why passive index funds are the default answer

For UK retail, the standard advice is to default to low-cost index funds (VWRL, CSPX, SWDA, etc.) precisely BECAUSE they:

The cost of NOT recency-biased fund-picking: roughly the OCF differential between active funds (often 0.7-1.5%) and index funds (0.1-0.2%). On a £100,000 portfolio over 30 years, that's roughly £30,000 of cumulative cost savings, plus avoidance of the 1-3% behavioural underperformance that comes with active fund-picking.

If you must pick active funds — better heuristics

For investors who genuinely want active management (some sectors, some strategies), here are better-than-recency heuristics:

1. Low cost first

Filter out everything above 0.5% OCF unless there's a specific reason. Cost is the most reliable predictor of long-run net performance (in any category).

2. 10+ year track record, same manager

If the manager changes, the previous track record means nothing. Look for managers with 10+ years on the same fund. Even then, 10 years is a small sample.

3. Look at process, not results

Can you understand the fund's process? Is it consistent and disciplined? Or does it look like recent results explained backwards?

4. If buying actively, time it contrarian

Want to buy a value fund? Buy after value has had a bad period (e.g. value funds in 2020 after years of underperformance). Want a small-cap fund? Buy after small caps have lagged (e.g. UK small caps in 2024 after a brutal 2022-2023). Buying after underperformance is the recency-bias antidote.

5. Diversify across managers if going active

If you're committed to active management, holding 5-8 funds rather than 1-2 reduces the impact of any single fund's recency-driven mistakes. But this defeats much of the appeal of active management.

Anti-recency checklist

Before clicking "buy" on any fund:

Worked example: the real cost of recency-driven picking

Two UK retail investors, each contributing £500/month to an ISA from age 30 to 60 (30 years, £180,000 total contributions).

Investor A: Buys whatever's top-of-the-pops

Investor B: VWRP and forget

The gap

Investor B is £248,000 wealthier — despite making no skilled decisions, no clever fund picks, no market-timing calls. Just: low cost + no recency-biased behaviour. The "do nothing" approach beats the "stay on top of it" approach by a factor of 1.7x.

This isn't a hypothetical — it's roughly the gap that Mind the Gap, Dalbar, and SPIVA studies consistently find between disciplined passive investors and active fund-pickers.

Frequently asked questions

What about funds with consistent multi-decade outperformance?

They exist but are rare. The most famous (Magellan, Berkshire, Lindsell Train UK Equity) all eventually went through extended weak periods. The challenge for retail: identifying genuine 30-year skill ahead of time is essentially impossible. Once a manager is famous for their skill, their fund is usually expensive and crowded.

Should I sell my recency-bought funds and switch to index?

If you bought based on recent performance, the underlying recency-bias mistake is past. The question is whether the fund holds you back going forward. Generally: yes, switching to a low-cost global index fund is the standard recommendation. Watch for CGT implications outside an ISA/SIPP and any fund exit fees.

Is some recency information useful?

Yes — recent extreme losses are sometimes a signal of fund problems (manager change, strategy drift, scandal). But "recent strong performance" is rarely useful as a buy signal. Asymmetric: pay attention to recent BAD news, ignore recent GOOD news.

What about thematic ETFs (AI, clean energy, biotech)?

Thematic ETFs are recency bias products. They launch after a theme has had good performance, attract flows at peak enthusiasm, and typically underperform broad markets going forward. The data is consistent across decades and themes. Avoid unless you have a specific conviction backed by analysis beyond "AI is the future".

What if I want exposure to specific themes anyway?

If conviction is real, do it through individual companies (not thematic ETFs), with limited position sizing (1-3% of portfolio per theme), and with explicit acceptance that this is speculative/non-core allocation. Don't dress up a momentum bet as "diversified investing".

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