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The Worst SIP Returns Create the Most Wealth: The Arithmetic, and the Catch

Buying through a fall, shown with verified anchors from the 2008 crash: every instalment below the start buys more units, the trough price bought roughly twice the units of the January level — and 53 lakh people stopped exactly there.

By LetsInvest Research DeskUpdated 30 Oct 20264 min read

On this page (5 sections)

The claim sounds like a paradox for a reason: how can the worst returns create the most wealth? The resolution is that a SIP's outcome is not its price return — it is units times later price, and falling prices buy more units per rupee. The months that produce the ugliest returns on paper are the months that stuff the folio. This page shows the mechanism with verified anchors from 2008, names the catch that breaks it, and refuses the two claims that give it a bad name.

What the 2008 window actually did

The verified anchors: the Nifty 50 peaked around 6,357 intraday in early January 2008 and closed at 2,524.20 on 27 October 2008 — a 60% fall in ten months, with the year ending at 2,874.8. Now run a ₹10,000 monthly SIP through it. Every instalment after January bought at prices below the January level, so each one accumulated more units than the last: by the October trough, the same ₹10,000 bought roughly twice the units it would have at January's close (the trough close was about 48% of the peak-month level; exact instalment-by-instalment counts depend on the month-by-month path, which is why this page quotes the bound, not a fake-precise table). The investor who kept buying through the fall therefore owned a folio whose average cost sat far below the level a January lump-sum payer paid — the mechanism, in one sentence: a lower price converts the same rupee into more future wealth, if the price comes back.

Buying through the 60% fall

The verified anchors of the 2008 window, with the SIP mechanism shown as bounds: every instalment below January's level bought more units, and the trough price bought roughly twice what January's close bought. The exact instalment-by-instalment count depends on the path — this page quotes the bound, not a fake-precise table.

View the numbers as a table
Buying through the 60% fall — the numbers behind the figure
AnchorValueWhat ₹10,000 bought
January 2008 intraday peak~6,357— (the level the fall started from)
January 2008 month-end close~5,2241.91 units
27 October 2008 closing low2,524.203.96 units — ~2.1× the January units
31 December 2008 year-end close2,874.83.48 units
The SIP through all twelve monthspath-dependentaverage cost strictly below January's level — the bound this page can verify

Price-index values, no dividends, loads or taxes. Anchors verified against multiple published market histories (sources below); past drawdowns do not bound future ones.

And the price came back — unevenly

2020 ran the same film in fast-forward: an intraday high of 12,430 in January, a 39% fall to intraday lows around 7,511 by late March, and a recovery to new highs within the year. The pattern across both episodes is the argument: drawdowns are the only times the market offers units at a discount, and they are always accompanied by news that makes buying feel reckless. That is not a coincidence — the discount and the dread are the same event.

The catch: units only count if you keep buying

Here is the number that keeps this page honest: AMFI recorded 53.4 lakh SIP accounts discontinued in March 2026 — one month, half a crore stopping decisions. The arithmetic above only pays the investor who was still buying in month ten of the fall. Behavioural research on Indian SIP starters (Value Research's peak-versus-trough analysis) reaches the same conclusion from the other side: investors who started at the 2008 peak ended close to those who started at the trough — continuing, not entry, was the differentiator. The worst-SIP claim is conditional, and the condition is behaviour under pain.

What this does NOT mean

  • It is not "wait for the bottom and lump sum." The bottoms are only visible in hindsight; analyses of SIP-at-peak versus SIP-at-trough show the entry point barely matters next to the staying. Waiting for 2,524 in October 2008 felt identical to waiting at 3,000, and 3,500, and 4,500.
  • It is not a leveraged bet. Borrowing to buy the fall converts the paper drawdown into forced selling at the exact bottom — the equity-conditions page lists leverage as failure condition number three.
  • It is not a reason to hold equity money that has a deadline. The mechanism needs the price to come back inside your horizon; a five-year window is not guaranteed the wait.

The mechanics that make it work

Three unromantic inputs: an emergency fund outside the market (so the bad months never force redemptions — the RBI's own financial-education guidance puts it first); automation (the SIP debits on schedule whether the news is terrible or not, which is the entire point of automating); and a written commitment — even one line — that the plan survives a 40% drawdown. The SIP calculator prices the later arithmetic; the behaviour decides whether there is anything to price.

Educational content, not financial advice. Crash anchors verified against multiple published market histories (2008: intraday peak ~6,357 January, closing low 2,524.20 on 27 October, year-end 2,874.8; 2020: intraday high 12,430 January, intraday low ~7,511 in late March) — sources below. The SIP-unit figures are bounds and mechanisms on stated assumptions (price-index values, no dividends, loads or taxes), not backtest results; AMFI discontinuation data from the September 2026 release cycle as reported; Value Research's peak-versus-trough analysis is third-party, labelled. Past drawdowns do not bound future ones.

Sources

Reviewed 29 Oct 2026. Crash anchors verified 29 October 2026 against multiple published market histories; the behavioural data comes from AMFI and Value Research, labelled.

Key takeaways

  • A lower price converts the same rupee into more future wealth, if the price comes back inside your horizon — the clause does the work.
  • The discount and the dread are the same event: drawdowns are the only times units are on sale, and they always look like reasons to stop.
  • Not 'wait for the bottom': bottoms are visible only in hindsight, and entry point barely matters next to staying.
  • Not a leveraged bet: borrowing converts the drawdown into forced selling at the exact bottom.
  • Three unromantic inputs make it work: an emergency fund outside the market, automation that debits on schedule, and a written commitment that the plan survives a 40% drawdown.
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