Index Funds in India - The Simplest Way to Invest
What are index funds, tracking error, best Nifty 50 and Sensex funds, and the 2-fund lazy portfolio strategy.
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Index Funds India: Why 72% of Active Managers Lose to the Nifty 50
Over 10 years, 72% of active large-cap funds underperformed the Nifty 50 after fees. That's from SPIVA India data (S&P Dow Jones Indices, 2023 year-end scorecard). Here's why index funds exist, how they work, and how I use them.
The number that first made me take index funds seriously wasn't a return figure. It was this: in a study tracking Indian mutual fund managers across rolling 10-year periods, the overwhelming majority of professional stock pickers, with their Bloomberg terminals, analyst teams, and industry access, were beaten by a fund that does nothing except hold the 50 largest Indian companies in proportion to their market value. No manager discretion. No stock picking. Just mechanical replication.
The explanation isn't that active fund managers are incompetent. It's that the fees they must charge make their already-difficult job of consistent outperformance close to impossible at scale. Understanding how expense ratio erodes your returns is essential context for why this fee headwind is so persistent.
This article is for educational purposes only and does not constitute personalised financial advice. Index fund returns are subject to market risk. Past performance does not guarantee future returns. SPIVA data cited is from publicly available S&P Dow Jones annual scorecards. Consult a SEBI-registered investment adviser before investing.
What an Index Fund Is
A passively managed mutual fund that replicates a market index by holding the same securities in the same proportions. Unlike actively managed funds, there's no fund manager making stock-selection decisions. The fund's portfolio changes only when the index changes its constituents, which happens periodically based on rules set by the index provider (NSE, BSE, S&P).
When you buy a Nifty 50 index fund, you own a tiny fraction of Reliance Industries, TCS, HDFC Bank, Infosys, ICICI Bank, and 45 other top Indian companies, all in one fund, automatically rebalanced when the index rebalances. The fund's job is purely mechanical: mirror the index as closely as possible, at the lowest possible cost.
There are two approaches to replication:
Full replication: The fund buys all securities in the index in exact proportions. This is the standard for well-managed Nifty 50 and Sensex index funds. Tracking error is minimal but not zero, because of cash held for redemptions and rebalancing timing.
Sampling (for larger indices): For indices with hundreds of constituents (like Nifty 500 or Nifty Total Market), buying every stock may be impractical. The fund holds a representative subset designed to replicate the index's risk and return characteristics. Tracking error is slightly higher.
The SPIVA Data: Why This Matters
The SPIVA India Scorecard (S&P Indices Versus Active Funds) is published annually and tracks how many actively managed Indian equity funds outperform their benchmark over 1, 3, 5, and 10 years.
The 2023 year-end report (S&P Dow Jones Indices) showed:
- Over 1 year: 60.5% of large-cap active funds underperformed the S&P BSE 100 benchmark
- Over 3 years: 64.3% underperformed
- Over 5 years: 68.9% underperformed
- Over 10 years: 72.3% underperformed
This is the uncomfortable arithmetic of active fund management. The longer the period, the worse active funds look relative to their passive index benchmarks. The explanation is structural: every actively managed fund must overcome its own expense ratio before delivering the same return as an index fund. A fund with 1.2% TER needs to outperform the index by 1.2% per year just to match a 0.1% TER index fund. Over 10 years, that compounding drag is enormous.
Why does this gap widen over time? Because fees compound, against you, every single year.
(Source: SPIVA India Year-End 2023 Scorecard, S&P Dow Jones Indices. Available at spglobal.com/spdji/en/spiva)
Tracking Error: The Most Overlooked Number
The annualised standard deviation of the difference between an index fund's daily returns and its benchmark index's daily returns. A tracking error of 0.2% means the fund's daily returns deviate from the index by approximately 0.2% annualised. Lower is better. A high tracking error means you're paying for an index fund that doesn't actually track the index well.
Tracking error matters because you're buying an index fund specifically to get index returns. If the fund has significant tracking error, you're getting unpredictable returns that may be worse or better than the index, but with none of the conviction of active management.
Causes of tracking error:
- Expense ratio (largest cause): The fund's fee comes out of NAV daily, creating a persistent gap from the gross index return
- Cash drag: Funds hold some cash for redemptions. This cash earns less than the index, creating a return gap
- Dividend timing: Dividends from portfolio stocks are received and reinvested with a delay
- Rebalancing costs: When the index adds or removes a stock, the fund must trade at whatever price the market provides
What's acceptable: For a Nifty 50 index fund, I look for tracking error under 0.5% annually. The best-managed funds achieve 0.1–0.25%. Anything above 1% in a well-established large-cap index fund is a sign of operational issues.
I check tracking error data on Value Research (valueresearchonline.com) under the fund's "Performance" tab, which shows the fund's returns against benchmark returns over trailing periods.
Nifty 50 Index Funds: Current Landscape
All Nifty 50 index funds hold the same 50 stocks in the same proportions. The differentiator is purely cost and operational efficiency. Based on publicly known data as of early 2025:
| Fund | Approx TER (Direct) | Tracking Error (approx) | AUM |
|---|---|---|---|
| UTI Nifty 50 Index Fund | ~0.20% | ~0.1–0.2% | Very large (₹20,000+ Cr) |
| HDFC Index Fund – Nifty 50 | ~0.20% | ~0.1–0.3% | Large |
| Nippon India Index Fund – Nifty 50 | ~0.20% | ~0.1–0.3% | Large |
| SBI Nifty Index Fund | ~0.20% | ~0.2–0.4% | Very large |
| ICICI Pru Nifty 50 Index Fund | ~0.05–0.10% | ~0.05–0.15% | Very large (₹50,000+ Cr) |
Note: Always verify current TER on the fund's factsheet at amfiindia.com before investing. TERs can change as AUM changes.
When choosing between near-identical Nifty 50 funds, I prioritise: lowest TER first, then lowest tracking error, then AUM above ₹5,000 crore (for liquidity). The differences between well-managed Nifty 50 index funds are genuinely small. Don't spend three weeks deciding, pick the one with the lowest TER and start.
The 2-Fund Lazy Portfolio Strategy
The simplest effective portfolio in Indian investing requires exactly two index funds.
Fund 1: Nifty 50 Index Fund (60–70% allocation) Covers India's 50 largest companies by market cap. Mature, liquid, well-understood businesses. Lower volatility than the broader market.
Fund 2: Nifty Next 50 Index Fund or Nifty Midcap 150 Index Fund (30–40% allocation) The Nifty Next 50 covers companies ranked 51–100 by market cap, large-caps in the making. Historically it has delivered higher returns than Nifty 50 with higher volatility. The Nifty Midcap 150 offers similar logic with more mid-cap exposure.
Monthly SIP: ₹6,000
Allocation:
- ₹4,000 → Nifty 50 Index Fund (Direct, Growth)
- ₹2,000 → Nifty Next 50 Index Fund (Direct, Growth)
Blended expense ratio: approximately 0.15–0.20% Coverage: India's top 100 companies by market cap
If average blended return is 12% over 20 years: Total invested: ₹14,40,000 Final corpus: approximately ₹57,60,000
Set up on a Monday morning. Review once a year. That's the entire strategy.
An alternative to Nifty 50 + Nifty Next 50 is Nifty 50 + Nifty Midcap 150. The Midcap 150 gives exposure to the 101st to 250th largest companies in India, with higher growth potential but significantly higher short-term volatility. For a 20-year horizon, either pairing has historically delivered strong results.
I use the Nifty 50 + Nifty Next 50 combination for the large-cap portion of my portfolio. I allocate a smaller portion (15–20%) to an actively managed mid-cap fund, because I believe, and the SPIVA data partially supports, that the mid-cap space still offers genuine alpha potential for skilled managers.
When Active Funds Still Make Sense
The SPIVA data is about large-caps. The picture is genuinely different in mid and small-caps.
Where index funds are clearly superior: Large-cap Indian equities. The Nifty 50 and Nifty 100 represent India's most heavily covered, most efficiently priced companies. Fund managers rarely have informational advantages here. The fee headwind makes consistent outperformance nearly impossible.
Where active management has a stronger case:
- Mid-cap and small-cap funds: These markets have less analyst coverage. Less efficient pricing means skilled managers can identify mispriced stocks. SPIVA data shows smaller percentages of mid/small-cap active funds underperforming their benchmarks, though the majority still do over 10 years.
- International funds: India currently lacks well-priced international index funds. Active international funds may be the only viable option for global exposure.
- Thematic/sector funds: By definition, a sector fund is making an active bet. Index versions of sectors exist but the active funds offer more nuanced positioning.
The practical approach: use index funds for large-cap exposure (the core of your portfolio), and consider well-researched active funds for mid/small-cap satellite positions where manager skill can potentially add value. If you're new to mutual funds and want to understand how the broader fund landscape works before choosing between active and passive, the mutual fund beginner's guide covers categories, NAV, and the key selection criteria.
The Nifty Next 50 contains companies transitioning from mid-cap to large-cap status. Historically, it has been more volatile than the Nifty 50 during crashes (it fell more in 2018 and 2020) but has delivered higher long-term returns. If you use it in your 2-fund portfolio, expect larger short-term swings and plan for a minimum 10-year horizon.
Index Fund Myths That Mislead New Investors
"Index funds only give average returns." The Nifty 50 Total Returns Index (which includes dividends) has delivered approximately 14–15% CAGR over the 20 years from 2003 to 2023. "Average" is doing a lot of work here, that average beats 72% of professionals.
"You should wait for a dip before investing in an index fund." Time in the market beats timing the market. Waiting three months for a 5% dip, only to watch the market rise 15%, is a common and expensive mistake. Start a SIP and invest regardless of market levels.
"Nifty 50 is too concentrated in top 10 stocks." The top 10 Nifty 50 companies (as of early 2025) account for approximately 60–65% of the index by weight. This is a fair critique, the Nifty 50 is market-cap weighted and does give heavy exposure to the largest companies. Adding a Nifty Next 50 or Nifty Midcap 150 fund reduces this concentration.
"I should switch index funds based on which performed best last year." All Nifty 50 index funds hold identical portfolios. Short-term performance variation is mostly noise related to cash holding and tracking. Switching based on 1-year performance is expensive (triggers capital gains tax) and pointless.
Not pointless. Actively harmful.
Calculator: See Your Index Fund SIP Growth
Use our SIP Calculator to model a ₹6,000/month Nifty 50 index fund SIP. Try scenarios at 11%, 13%, and 15% returns over 20 years to see the range of realistic outcomes.
Sources
- SPIVA India Year-End 2023 Scorecard. S&P Dow Jones Indices. Percentage of active funds underperforming benchmarks over 1, 3, 5, and 10 years. Available at spglobal.com/spdji/en/spiva.
- SEBI Circular SEBI/HO/IMD/DF2/CIR/P/2018/137. TER limits for mutual fund schemes, including passive funds (October 2018). Available at sebi.gov.in.
- NSE India, Index Data, Nifty 50, Nifty Next 50, Nifty Midcap 150 historical returns. Available at nseindia.com.
- AMFI, Fund Factsheets, Current TER and AUM data for index funds. Available at amfiindia.com.
- SEBI (Mutual Funds) Regulations, 1996. Framework for passive fund regulation and disclosure requirements.
Key Takeaways
- SPIVA India 2023 data: 72% of active large-cap funds underperformed the Nifty 50 over 10 years: this is structural, driven by the fee headwind
- An index fund replicates a market index mechanically at minimal cost (TER 0.05–0.20%): no manager discretion, no stock picking
- Tracking error under 0.5% is acceptable for Nifty 50 funds; under 0.25% is excellent: check on Value Research before investing
- The 2-fund lazy portfolio, Nifty 50 + Nifty Next 50 (or Nifty Midcap 150), covers India's top 100 companies at a blended cost under 0.20%
- Active management still has a case in mid-cap and small-cap where markets are less efficient and information advantages exist
- Choose the cheapest Nifty 50 index fund (lowest TER + low tracking error + AUM above ₹5,000 Cr), start a SIP, and review annually
The SPIVA India 2023 scorecard found that over 10 years, what percentage of active large-cap funds underperformed the Nifty benchmark?
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