Index Funds vs ETFs vs Active | The Evidence in India
The active vs passive debate is largely settled. The data is clear. What remains is understanding where on the spectrum to position yourself | and where systematic factor strategies like RupeeCase fit in.
TK
Tanmay Kurtkoti
Founder & CEO, RupeeCase · QC Alpha
⏱ 13 min read⟳ Updated 6 May 2026◆ Intermediate
Every year, S&P Global publishes the SPIVA India Scorecard | a rigorous analysis of how many actively managed Indian equity funds beat their benchmark over various time periods. The numbers are damning for active management. And yet the industry continues to market actively managed funds aggressively, because the fees on active funds are dramatically higher than on passive ones.
This module lays out the evidence clearly, explains why active underperforms, identifies the narrow conditions where active might win, and positions systematic factor investing as a distinct third option beyond the passive vs active binary.
87%
Large cap funds lag Nifty 100 over 10Y
1.80%
Median regular plan TER large cap
0.18%
Cheapest Nifty 50 ETF TER
9.7L
Crore Indian passive AUM 2026
Passive AUM in India was under 50000 crore in 2018. Today it is 9.7 lakh crore and growing. Retail has quietly figured out what SPIVA has been printing for a decade.
1
Identify need
Core large cap exposure, satellite theme, or factor tilt
2
Check TER
Index fund direct plan or ETF, always under 0.40%
3
Tracking error
Rolling 3Y TE under 0.25% is acceptable
4
Liquidity gate
ETF ADV over 1 crore, bid ask spread under 10bp
5
Execute and hold
SIP monthly, no timing, no switching
My passive product selection checklist. Step 4 is where retail gets burned in thinly traded ETFs. A Nifty Midcap 150 ETF with 20 lakh daily volume will have a 40bp spread, which destroys a 10bp TER advantage.
Where active underperformance comes from
Expense ratio 44%
Trading cost 28%
Cash drag 18%
Bad security selection 10%
My allocation philosophy
Passive core 56%
Systematic factor 24%
Selected active 20%
Most of the active underperformance is not bad stock picking, it is the fee stack. A 2% expense ratio compounded over 20 years is 38% of terminal wealth given up to the fund house.
SPIVA India funds beating benchmark over horizon (10Y, Dec 2024)
Large cap equity
13%
Mid & small cap equity
29%
ELSS tax saver
17%
Flexi cap
24%
Indian bond composite
9%
SPIVA India 10 year data is brutal for active large cap. Only 13% of funds beat the Nifty 100 after fees. Mid cap does marginally better because the benchmark is less liquid, but still only 29% beat it.
From my notebook
In 2017 I ran a simple test for a client. 5 lakh in a top rated large cap fund with 2.1% TER regular plan, vs the same 5 lakh in a Nifty 50 index fund at 0.15% direct plan. Same holdings roughly 78% overlap. Seven years later the index fund terminal value was 3.62 lakh higher, purely from the fee difference compounding. That conversation changed how I pitch product to clients. My rule today: pay active fees only when the manager is running a strategy you actually cannot replicate cheaply, like concentrated value or a specific factor tilt. For plain Nifty exposure, pay 15 basis points or walk.
The SPIVA India evidence
SPIVA (S&P Indices Versus Active) measures the percentage of active funds that underperform their benchmark index over various time horizons. The Indian data is consistent with global findings:
~70%
Large-cap active funds that underperformed the S&P BSE 100 over a 5-year period (SPIVA India 2023 Scorecard)
~80%
Large-cap active funds that underperformed over a 10-year period | the underperformance rate increases as the horizon extends
The pattern is consistent: the longer the time horizon, the worse active funds look relative to their benchmark. The few funds that beat their benchmark in year 1 are largely different from the ones that beat it in year 3 | performance persistence is minimal.
William Sharpe (1991) proved this mathematically: before costs, the average actively managed rupee must earn the market return | because active managers collectively own the market. After costs, the average active fund must underperform by the amount of those costs.
The cost differential between active and passive in India:
Product
Typical TER (direct)
Annual cost on ₹10L
20-year drag on ₹10L at 12% gross
Active large-cap (direct)
0.8 to 1.2%
₹8,000 to 12,000
₹22 to 35L
Index fund (direct)
0.1 to 0.2%
₹1,000 to 2,000
₹3 to 6L
Nifty 50 ETF
0.03 to 0.07%
₹300 to 700
₹1 to 2L
Active regular plan
1.5 to 2.5%
₹15,000 to 25,000
₹40 to 70L
For a fund manager to justify a 1% active fee, they need to generate at least 1% annual alpha before your hands. The SPIVA data shows most don't. The regular plan cost (with distributor commission) makes the challenge even harder.
When might active win? The narrow cases
The evidence against active is strongest in large-cap Indian equities | a heavily covered, liquid, efficiently priced market. The case for active is somewhat stronger in:
Mid and small-cap segments: Less analyst coverage, more information asymmetry, more pricing inefficiency. A skilled active manager in the small-cap space has a larger opportunity set. SPIVA data shows better active persistence in mid/small-cap categories.
Credit/debt investing: Fixed income analysis is complex and idiosyncratic. A good credit analyst genuinely adds value in corporate bond selection in ways that are harder in equity markets.
Very specific niche strategies: Activist investing, special situations, deep value in unlisted companies | these aren't available through passive funds at all.
The honest summary: If you're investing in large-cap Indian equities | where Nifty 50 and Nifty 100 ETFs give you cheap, diversified, benchmark-aligned exposure | active management is very hard to justify. In mid and small-cap segments, the evidence is less clear-cut. But the cost drag still means you need meaningful alpha generation just to break even with a passive alternative.
Where factor investing sits | the third option
Systematic factor strategies like those on RupeeCase are neither purely passive nor purely active. The spectrum looks like this:
Dimension
Passive index
Factor strategy
Rules-based?
Yes | fully rules-based
Yes | fully rules-based
Human judgment?
None | pure index replication
None | signals drive all decisions
Cost
Very low (0.03 to 0.2% TER)
Low | brokerage + execution only
Expected alpha vs index
Zero by design | matches benchmark
Positive | factor premium if documented
Why it might work
Markets are broadly efficient; costs are the main drag on returns
Documented factor premia (momentum, quality, value) with economic rationale
Risk vs market
Same as market | tracks benchmark closely
Factor-specific risk | underperforms index in factor-unfriendly periods
The RupeeCase positioning
RupeeCase factor strategies sit between passive index ETFs (zero alpha ambition, zero human judgment) and active mutual funds (human judgment, high fees, poor persistence). They are rules-based like passive, alpha-seeking like active. The difference from active: the rules are documented, tested on 20 years of NSE data, and don't depend on the skill of a specific fund manager. The strategies are available at invest.rupeecase.com.
Glossary
Key terms | Module 6.5
SPIVA
S&P Indices Versus Active | an annual scorecard published by S&P Global showing the percentage of actively managed funds that underperformed their benchmark index over 1, 3, 5, and 10 year periods.
Active management
Fund management where the portfolio manager selects securities with the aim of outperforming a benchmark. Typically charges higher fees than passive funds.
Passive investing
An investment approach that replicates a market index rather than selecting securities. Aims to match, not beat, the benchmark. Very low cost.
Factor investing
A rules-based approach that tilts a portfolio toward documented return factors (momentum, quality, value, low volatility) to earn factor premia above the benchmark return.
Performance persistence
The tendency of top-performing funds to continue outperforming in subsequent periods. Academic evidence shows persistence is minimal in active equity funds.
TK
A note from the author
Why this matters
The index fund versus active fund debate takes a very different shape in India than in the US. Indian markets are less efficient, active managers have historically added alpha in certain segments, and the cost structures differ significantly. I wrote this module to help you make this decision with data rather than ideology | because the right answer depends on the specific market segment and your investment horizon.
Want to put this into practice? RupeeCase is the systematic investing terminal built around everything you're learning here, factor scores, strategy backtests, portfolio construction for Indian markets.
This course is free. Help someone else learn about Index Funds vs ETFs vs Active, share it with one person who needs this.
📋 Suggested LinkedIn post, copy & paste
Just completed Module 6.5 of Tanmay Kurtkoti's free investing course on RupeeCase. Learning about Index Funds vs ETFs vs Active. Completely free at rupeecase.com/learn
Active fund needs to deliver enough alpha to clear its TER spread. Compounded over years the gap is large. SPIVA India shows fewer than 1 in 5 active funds clear it.
Quick check, Module 6.5
3 questions. Get 2 right to mark this module complete.
0 of 3 answered
✓
Module complete. Keep going.
Up next, Module 6.6
Derivatives | Futures and Options for the Systematic Investor
F&O mechanics, lot sizes, margin, expiry, and how systematic investors use derivatives for hedging rather than speculation.