How it works
Performance chasing is the retail investor's signature move: capital floods into whatever topped last year's leaderboard, usually after the easy gains are gone. The penalty has a precise structure this simulator exposes. Year one tends to deliver mean reversion — the stretch beyond fundamentals unwinds — so late arrivals absorb the drawdown that early holders never see; afterward both paths resume whatever long-run return you assume. Move $10,000 into a fund fresh off a +32% year, apply a labeled −18% first-year assumption, then let both paths run at 8%, and the chased dollar finishes seven years behind by roughly $4,100 — needing about 13% annually merely to draw level. History keeps supplying the case studies: 1999 technology funds, pandemic-era theme ETFs, any leaderboard crowned by three hot years — past episodes offered as pattern, not prophecy. The behavioral engine underneath is FOMO meeting availability: recent vivid gains feel like information about the future when they are mostly a record of the past. The simulator's honest use is pre-commitment — setting your response to a friend's hot tip now, with arithmetic attached, before the ticker symbol and the party conversation arrive together.
Formula
Chased = amount × (1 + pullback) × (1 + r)^years-after | Boring = amount × (1 + benchmark)^years
Tips
- Rank funds on five-to-ten-year records, never one year — streaks revert fastest at the top.
- Split any urge to switch into monthly tranches over a year; it converts FOMO into averaging.
- Ask what percentage of the hot run you can still capture — late entries buy the tail.
- Write an investment policy note naming your benchmark; consult it before every switch.
- Check flows: record inflows after big years mark exactly the crowd you don't want to join.
Frequently asked questions
- What is performance chasing?
- Buying assets specifically because they performed exceptionally recently — last quarter's or last year's leaders. Studies of fund flows consistently show investors piling in after strong runs and exiting after declines, systematically buying high and selling low relative to the funds' own average holders.
- How much does chasing hot funds cost?
- Behavioral analyses have estimated the average equity fund investor trails its own fund by one to two percentage points annually largely through timing — tens of thousands over a career on ordinary balances. This tool isolates one episode: $10,000 moved after a +32% year with an assumed −18% reversion trails by roughly $4,700 over seven years here.
- Do hot funds keep performing?
- Rarely in sequence. Research on mutual-fund rankings has found top-quartile persistence over multiple years to be weak — yesterday's winners scatter across tomorrow's distribution. Mean reversion isn't guaranteed per fund, but betting on continued leadership has historically paid poorly enough that diversification remains the default answer.
- Why do investors keep buying high anyway?
- Recency bias treats the recent trend as the base case; FOMO supplies urgency; and media coverage peaks precisely at tops, making winners maximally visible exactly when least attractive. The combination feels like prudence in the moment, which is why rules beat willpower for most people.
- Is dollar-cost averaging into a hot fund safer?
- Spreading entries reduces the single-date regret this tool simulates and converts the decision into a habit rather than a bet. It doesn't remove valuation risk — averaging into an expensive asset still buys expensive assets — but it removes the specific penalty of concentrating capital right before a reversion.