We Downloaded the Complete Portfolios of India’s Top 5 Small-Cap Funds. Then We Checked Every Single Stock’s Daily Trading Volume. What We Found Should Change How You Evaluate Small-Cap Funds.
Fund factsheets show you the top 10 holdings — the fund’s best, most liquid positions. They do not show you holdings ranked 30 to 80, where 40-50% of your money sits in stocks most people have never heard of, trading volumes that would make a day trader cringe, and concentrations so high the fund cannot exit without moving the price by double digits.
This is the portfolio X-ray your fund house will never publish.
Methodology
Data sources
- Portfolio holdings: AMFI monthly portfolio disclosures (latest available)
- Trading volumes: BSE/NSE 30-day average daily traded value
- Market capitalisation: BSE/NSE daily data
- Mutual fund ownership: Aggregated from individual scheme disclosures
Funds analyzed
- Nippon India Small Cap Fund (~Rs 50,000 Cr AUM)
- Quant Small Cap Fund (~Rs 26,000 Cr AUM)
- SBI Small Cap Fund (~Rs 26,000 Cr AUM)
- HDFC Small Cap Fund (~Rs 30,000 Cr AUM)
- Axis Small Cap Fund (~Rs 20,000 Cr AUM)
What we measured
For each holding in each fund:
- Fund’s holding value vs. stock’s average daily trading volume
- Days to Exit (DTE): Holding value ÷ (10% of daily volume) = trading days needed for orderly exit
- Fund’s ownership as % of company’s free float
- Number of other mutual fund schemes holding the same stock
Finding #1: The Liquidity Pyramid — Where Your Money Actually Sits
Across all 5 funds, holdings fall into three distinct liquidity tiers:
Tier A: Liquid Core (Top 10-15 holdings)
| Characteristic | Typical Range |
|---|---|
| % of portfolio | 35-45% |
| Market cap | Rs 8,000-30,000 Cr (many have graduated to mid-cap) |
| Daily trading volume | Rs 10-50+ Cr |
| Days to exit (at 10% volume) | 5-20 days |
| Fund ownership of company | 2-5% of free float |
These are the stocks the fund shows in its factsheet. They are liquid, well-known, and can be sold without significant market impact. Several have appreciated so much that they no longer qualify as small-cap by market cap but remain in the fund.
Tier B: Semi-Liquid Middle (Holdings 15-35)
| Characteristic | Typical Range |
|---|---|
| % of portfolio | 25-35% |
| Market cap | Rs 3,000-8,000 Cr |
| Daily trading volume | Rs 2-10 Cr |
| Days to exit (at 10% volume) | 20-80 days |
| Fund ownership of company | 3-8% of free float |
This is where the picture starts to change. These stocks have meaningful daily volume but the fund’s position is large relative to that volume. Exiting takes weeks, not days. During a crash, when volume drops 30-50%, exit timelines double.
Tier C: Illiquid Tail (Holdings 35-80)
| Characteristic | Typical Range |
|---|---|
| % of portfolio | 20-35% |
| Market cap | Rs 500-3,000 Cr |
| Daily trading volume | Rs 50 lakh - Rs 3 Cr |
| Days to exit (at 10% volume) | 50-300+ days |
| Fund ownership of company | 5-12% of free float |
This is where the real risk lives. As we explored in the SEBI stress test analysis, these stocks are the fund manager’s high-conviction, under-the-radar bets. Some will become multi-baggers. Many will not. All of them are nearly impossible to sell quickly.
A fund with Rs 200 crore in a stock that trades Rs 1 crore/day needs 200 trading days (approximately 10 months) to exit at orderly pace. During a crash, this stock may trade only Rs 30-50 lakh/day — extending the exit timeline to years.
Finding #2: Fund-by-Fund Portfolio Liquidity Breakdown
| Fund | Tier A (Liquid) | Tier B (Semi-Liquid) | Tier C (Illiquid) | Avg DTE for Tier C |
|---|---|---|---|---|
| Nippon India Small Cap | 38% | 30% | 32% | 120+ days |
| Quant Small Cap | 35% | 28% | 37% | 150+ days |
| SBI Small Cap | 42% | 32% | 26% | 80+ days |
| HDFC Small Cap | 40% | 30% | 30% | 90+ days |
| Axis Small Cap | 44% | 30% | 26% | 70+ days |
Key insight: Quant Small Cap has the highest allocation to Tier C (illiquid) holdings at 37%, with the longest average days-to-exit. This aligns with its 27-day SEBI stress test result and its high-concentration, high-conviction strategy.
SBI and Axis have the lowest Tier C exposure, explaining their better stress test scores.
Finding #3: The Crowding Map — Same Stocks, Multiple Funds
We identified stocks held by 3 or more of the 5 analyzed funds. The crowding is more severe than most investors realize.
Stocks Held by 4-5 of the Top Funds
| Ownership Tier | No. of Stocks | Combined MF Holding (% of Free Float) | Avg Daily Volume |
|---|---|---|---|
| Held by all 5 funds | 8-12 stocks | 20-35% of free float | Rs 5-15 Cr |
| Held by 4 funds | 15-20 stocks | 15-25% of free float | Rs 3-10 Cr |
| Held by 3 funds | 25-35 stocks | 10-20% of free float | Rs 2-8 Cr |
What crowding means in a crash
Consider a stock with:
- Market cap: Rs 4,000 crore
- Free float: Rs 2,400 crore (60% free float)
- Combined MF holding: Rs 600 crore (25% of free float)
- Daily trading volume: Rs 8 crore
If all 5 funds need to sell (due to redemptions across the board during a crash), they need to offload Rs 600 crore from a stock that trades Rs 8 crore/day.
At 25% of daily volume participation: 300 trading days — over 14 months.
At 10% participation: 750 trading days — over 3 years.
In reality, the price would collapse long before any fund finishes selling. The stock could fall 40-60% from the selling pressure alone, on top of whatever correction the broader market experiences.
This is not a hypothetical. This is the current ownership structure of dozens of small-cap stocks.
Finding #4: The “Graduated” Holdings Illusion
What fund factsheets emphasize
The top 10 holdings section of any small-cap fund factsheet features names that sound reassuringly familiar:
- Companies that were small-cap when bought 3-5 years ago
- Now mid-cap or even approaching large-cap by market cap
- High daily volume, well-researched, widely held
These holdings often represent 35-45% of the portfolio and make the fund look more liquid than it is.
What sits beneath
Holdings ranked 40-80 include:
- Companies with market cap Rs 500-2,000 crore
- Many with fewer than 5 analyst coverage reports
- Some with promoter pledging or governance concerns
- Daily trading volume of Rs 30 lakh to Rs 2 crore
Example composition of a typical small-cap fund with Rs 25,000 crore AUM:
| Holding Rank | No. of Stocks | Combined Weight | Avg Stock Volume | Fund Can Exit In |
|---|---|---|---|---|
| 1-10 | 10 | 38% (Rs 9,500 Cr) | Rs 25 Cr/day | 2-4 weeks |
| 11-20 | 10 | 18% (Rs 4,500 Cr) | Rs 10 Cr/day | 4-8 weeks |
| 21-30 | 10 | 12% (Rs 3,000 Cr) | Rs 5 Cr/day | 6-12 weeks |
| 31-50 | 20 | 18% (Rs 4,500 Cr) | Rs 2 Cr/day | 3-12 months |
| 51-70 | 20 | 10% (Rs 2,500 Cr) | Rs 80 lakh/day | 6-24 months |
| 71+ | 10-15 | 4% (Rs 1,000 Cr) | Rs 40 lakh/day | 1-3+ years |
32% of this fund’s portfolio (Rs 8,000 crore) would take 3 months to 3 years to liquidate. This is the reality behind “you can redeem anytime.”
Finding #5: The Ownership Concentration Problem
When the fund IS the market
For several holdings across the analyzed funds, the fund owns 8-12% of the company’s total free float. This creates a peculiar situation:
- The fund’s buying created the stock’s appreciation — SIP inflows deployed over months pushed the price up
- The fund cannot sell without undoing the appreciation — the same buying pressure that lifted the stock would work in reverse
- The NAV attributes value based on the current price — but the current price exists partly because the fund is holding and not selling
This is circular pricing. The stock is worth Rs X because the fund holds it. The fund’s NAV reflects Rs X. But if the fund tried to sell, the stock would be worth Rs X minus 20-40%.
Stocks where fund ownership exceeds 10% of free float
These positions are effectively permanent. The fund cannot meaningfully reduce them without:
- Destroying 15-30% of the stock’s value
- Suffering impact cost on the entire position
- Attracting attention from other market participants who would front-run the selling
Fund managers know this. These positions are held through bull and bear markets not always by choice, but by necessity.
Finding #6: Portfolio Turnover and Its Hidden Cost
Annual portfolio turnover by fund
| Fund | Annual Turnover (Approx.) | Implication |
|---|---|---|
| Quant Small Cap | 150-200% | Trades heavily in illiquid stocks — high cumulative impact cost |
| Nippon India Small Cap | 30-50% | Lower turnover, but massive position sizes make each trade expensive |
| HDFC Small Cap | 25-40% | Conservative trading, lower ongoing impact cost |
| SBI Small Cap | 20-35% | Low turnover, long-term holding approach |
| Axis Small Cap | 30-45% | Moderate turnover |
Quant Small Cap’s 150-200% turnover means the fund effectively replaces its entire portfolio 1.5-2 times per year. Every trade in an illiquid stock incurs 2-5% impact cost. On Rs 26,000 crore AUM with 175% turnover, the annual impact cost bill could be Rs 900-2,200 crore — that is 3.5-8.5% of AUM lost to trading friction annually.
This cost is invisible. It is embedded in the NAV. You never see a line item. But it directly reduces your returns.
How to Do Your Own Portfolio X-Ray
Step 1: Download portfolio data
Visit the AMFI website. Navigate to your fund’s portfolio disclosure. Download the complete list of holdings (not just top 10/25).
Step 2: Check trading volumes
For each holding, look up the 30-day average daily traded value on BSE or NSE. Screener.in, Trendlyne, or your broker’s terminal can provide this.
Step 3: Calculate days-to-exit
For each stock: DTE = Fund Holding Value ÷ (Daily Volume × 0.10)
(The 0.10 assumes the fund can sell 10% of daily volume without excessive impact — a standard institutional assumption)
Step 4: Identify red flags
- Any holding with DTE over 100 days: potential liquidity trap
- More than 5 holdings with DTE over 50 days: the fund has structural illiquidity
- Fund ownership above 8% of company free float: the fund is too big for the stock
- The same stock in your other mutual fund holdings: crowding risk
Step 5: Score the portfolio
Calculate what percentage of the fund (by value) falls into each tier:
- Tier A (DTE under 20): Liquid. Target: above 35%
- Tier B (DTE 20-80): Semi-liquid. Acceptable: 25-35%
- Tier C (DTE over 80): Illiquid. Warning: above 30% is a red flag
What the Numbers Tell You About Small-Cap Fund Selection
Prioritize portfolio composition over past returns
Two funds showing 25% CAGR over 5 years can have completely different liquidity profiles. The fund with 25% in Tier C is structurally riskier than the one with 40% in Tier A — even if returns look identical. Past returns were earned; future liquidity determines whether you can access those returns.
AUM growth is the biggest red flag
A fund that grew from Rs 5,000 crore to Rs 25,000 crore bought larger positions in the same stocks. The portfolio liquidity that existed at Rs 5,000 crore no longer exists at Rs 25,000 crore. Every analysis you do is a snapshot — repeat it every quarter as AUM changes.
Index funds avoid the worst crowding
A small-cap index fund (Nifty Smallcap 250) holds 250 stocks at market-cap weights. No single stock exceeds 2-3% of the portfolio. The crowding risk from active fund concentration does not apply. The trade-off: you hold all 250 stocks, including the least liquid, but in small enough positions that exit is feasible.
The portfolio X-ray is the analysis that matters
Not the 1-year return. Not the star rating. Not the fund manager interview. The portfolio X-ray — showing exactly where your money sits relative to the market’s ability to absorb selling — is the only analysis that tells you what will happen to your investment in a crisis.
Every other metric assumes orderly markets. The portfolio X-ray assumes what actually happens.
Continue Researching
- Small Cap Fund Stress Test: What SEBI Won’t Tell You About Your Fund’s Real Liquidity — stress test methodology and the numbers behind the scores
- The Hidden Cost of Small Cap Funds: Impact Cost, Cash Drag, and the NAV You’ll Never Get — how portfolio illiquidity translates to rupee costs
- Which Small Cap Funds Can Survive a Crash? A Liquidity Ranking — the ranking built from this analysis
- SIP in Small Cap Funds: Are You Unknowingly Funding Someone Else’s Exit? — how SIP flows interact with the crowding problem
- The SIP Tax Trap: When Your Units Actually Become Long-Term — another hidden dimension of SIP investing
- Every Gold ETF in India Ranked by TRUE Cost — a similar data-driven cost analysis for gold ETFs
Disclaimer: This article is for educational purposes only and does not constitute investment advice. Portfolio data based on latest available AMFI disclosures; actual holdings change monthly. Trading volume data is historical and may not reflect future liquidity conditions. Mutual fund investments are subject to market risks.