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Mutual Funds & Investing

SIP vs Lumpsum: Which Actually Wins in Indian Markets?

SIP vs lumpsum, backtested across rising, flat, and falling 20-year windows on the Nifty 50. When SIP wins, when lumpsum wins, and the middle path most investors miss.

Kshitij Jain
Kshitij Jain

Founder, NYVO

5 min read · Published 15 Apr 2026

Hand annotating a Nifty 50 SIP vs lumpsum return chart over coffee

In our backtest of rolling 10-year windows on the Nifty 50 TRI (2004–2024), lumpsum beat SIP roughly 65% of the time. Indian markets spend more time rising than falling, so money deployed on day one usually out-earns money drip-fed from the sidelines.

SIP still wins about 35% of those windows, and its wins cluster in volatile or falling markets. Behaviourally, SIP wins far more often than the backtest suggests: an investor who keeps a SIP running through a 30% drawdown beats one who panic-sells a lumpsum after the fall.

This guide walks through the full backtest, the conditions under which each approach wins, and the STP middle path for anyone holding a lumpsum today.

The short answer

If you have a lumpsum today and you're investing for 10+ years, historically lumpsum has won about 65% of rolling periods on the Nifty 50. Markets spend more time going up than going down, and keeping money uninvested on the sidelines has a cost.

But the psychology of SIP is why SIP almost always wins in practice. An investor who can actually stick with SIPs through a drawdown beats an investor who panic-sells their lumpsum after a 30% fall.

So: if you're disciplined and have a lumpsum, deploy it (or STP over 3–6 months). If you're a first-time investor, SIP. If you're building wealth from monthly salary, SIP is the only option anyway.

What each actually is

Systematic Investment Plan (SIP): you invest a fixed amount at a fixed frequency (usually monthly). You buy more units when prices are low and fewer when high. The industry calls this "rupee cost averaging." The real value is behavioural: you remove the decision of when to invest.

Lumpsum: you invest the entire amount at once. Your returns are tied to a single entry price. Upside is you earn returns on the full corpus from day one. Downside is you bear the sequence-of-returns risk if the market falls right after you invest.

The Nifty 50 backtest

We took every rolling 10-year window on the Nifty 50 TRI (Total Return Index) from 2004 to 2024. For each window, we compared:

  • Lumpsum: ₹12,00,000 invested on day one, held for 10 years.
  • SIP: ₹10,000 monthly for 120 months (also ₹12,00,000 total, deployed gradually).

Across 120+ rolling windows:

ScenarioLumpsum CAGRSIP XIRRWinner
Typical rising market (2013→2023)12.8%13.4%SIP (barely)
Strong bull runs (2003→2013)16.6%11.2%Lumpsum by a wide margin
2008 crash mid-window (2005→2015)10.1%12.3%SIP
Flat to declining (2010→2020 first half)9.2%10.7%SIP

SIP wins more frequently in volatile or declining markets. Lumpsum wins more decisively in strong bull markets. Across the full sample, SIP wins roughly 35% of 10-year windows, but the lumpsum win magnitude is bigger when it wins.

The formulas, simplified

SIP future value uses the annuity formula:

FV = P × [((1 + r)^n − 1) / r] × (1 + r)

Where P is the monthly SIP, r is the monthly rate, and n is the number of months.

Lumpsum future value is simpler:

FV = P × (1 + r)^n

At an 11% annualised return:

  • ₹10,000 SIP for 10 years → ~₹23 L (₹12 L invested, ₹11 L returns)
  • ₹12 L lumpsum for 10 years → ~₹34 L (₹12 L invested, ₹22 L returns)

The lumpsum wins mathematically at steady returns. But real markets don't deliver steady returns.

Sequence risk: the hidden cost of lumpsum

If you invest ₹12 L on Jan 1, 2008, by Nov 2008 your corpus is ~₹5.4 L. Even if you hold for 10 years, your CAGR is depressed. Lumpsum at the wrong moment can cost 2–4% of annualised return over a decade.

SIP deployed the same ₹12 L across 12 months of 2008 would have bought through the crash, emerging with a significantly higher unit count.

This is why lumpsum timing matters, and why, if you can't time the market (you can't), the safer path is:

The middle path: STP

Systematic Transfer Plan (STP) is the bridge. You put the lumpsum into a liquid fund and STP into your equity fund over 3–6 months. You capture some lumpsum advantage while smoothing entry risk.

We recommend STP for lumpsums ≥ 25% of your portfolio. Below that, just lumpsum; the transaction cost of STP isn't worth the risk reduction.

When lumpsum legitimately wins

  • After a 25%+ correction in the market. Lumpsum deploys into discount territory.
  • For long horizons (15+ years) where sequence risk compresses.
  • When you already have significant SIPs running and the lumpsum is a "top up."
  • Tax-loss windfalls, bonuses, property sale proceeds: money otherwise sitting in savings earning 3%.

When SIP legitimately wins

  • Market at all-time highs and you feel nervous (behavioural).
  • First-time investor, no emotional reference point for a 30% drawdown.
  • Investing monthly salary, where there is no lumpsum to deploy.
  • Short horizons (under 5 years) where sequence risk dominates.

Our actual advice

If you have a lumpsum and a 10+ year horizon: STP over 3–6 months into a diversified equity fund.

If you're investing monthly salary: SIP, forever. Set it, increase it 10% every year, forget it.

Don't overthink this. The decision that matters far more is whether you stick with it through a drawdown.

Calculate both

Run the exact numbers for your situation. We've built calculators for both:

Both show the full breakdown: invested amount, estimated returns, and the compounding curve.

Related NYVO guides

One warning

The numbers above assume long-term equity returns in the 11–13% CAGR range that Indian markets have historically delivered. Past performance isn't a guarantee. Factor in inflation (6–7%), expense ratios (on direct plans, 0.5–1%), and capital gains tax (12.5% LTCG above ₹1.25 L/year for equity) when building your plan.

If you'd like help deciding what's right for your situation, book a free call with a NYVO advisor.

Run the numbers

Calculators referenced in this article:

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