Quick answer: A practical mutual fund selection runs through five filters in order: (1) Category fit — pick the fund category that matches your goal''s horizon (equity for 7+ years, hybrid for 3-7, debt for under 3); (2) Fund size — for active equity funds, the AUM sweet spot is ₹2,000-30,000 crore (small-cap funds typically falter beyond ₹15,000 crore); (3) Expense ratio — always pick the Direct Plan over Regular; the 1 percentage point gap compounds to ₹11.6 lakh on a ₹10,000/month SIP over 20 years, or ₹29 lakh on a ₹25,000/month SIP; (4) Manager tenure — 5+ years with the same fund is a positive quality signal, under 2 years is too new to evaluate; (5) Risk-adjusted returns using rolling returns over 5/7/10 year windows, not chasing the last 12 months. For large-cap, the SPIVA India 2025 data is unambiguous — 73% of active large-cap funds underperformed their benchmark over 10 years, so a low-cost Nifty 50 index fund (0.10-0.20% expense ratio) is the default rational choice. For mid and small-cap, active management still has a credible case on risk-adjusted basis. ELSS, with 87% underperformance, is similarly best served by an ELSS index fund or a flexi-cap fund if you don''t actually need the 80C deduction.
Key takeaways
- Start with the goal''s timeline, not with star ratings or "best fund of the year" lists — category fit is the largest decision you make.
- Always pick Direct Plan over Regular Plan — the 1% expense ratio gap compounds to ₹11-29 lakh of foregone wealth over a 20-year SIP, depending on amount.
- For large-cap equity, default to a low-cost Nifty 50 or Nifty Next 50 index fund — 73% of active large-cap funds underperformed their benchmark over 10 years per SPIVA India 2025.
- For mid and small-cap, active management retains a credible case on risk-adjusted returns — but choose funds with AUM under ₹15,000 crore to ensure the manager can still execute the strategy.
- Manager tenure of 5+ years with the same fund is a positive signal; manager changes warrant fresh evaluation, not automatic exit.
The single most consequential decision in personal investing isn''t which fund you choose — it''s the framework you use to choose. Most retail investors pick mutual funds by browsing a "top performers" list, sorting by 1-year returns, and selecting whatever is highest. This produces predictably poor outcomes because last year''s outperformers are statistically likely to be next year''s underperformers (mean reversion is brutal in fund returns), and the absolute level of returns reveals nothing about whether the fund actually does its job within your portfolio.
A practical selection framework looks at five filters in a specific order: category fit, fund size, expense ratio, manager tenure, and risk-adjusted returns. This article walks through each filter with the math that makes it actionable — including the direct-vs-regular plan calculation that quietly costs Indian investors ₹15-30 lakh over a 20-year SIP — and applies the framework to two concrete selection scenarios (a large-cap and a small-cap pick) to demonstrate how the filters produce different answers for different categories. Use Ganak''s SIP Calculator to model the impact of your final choice.
Start with the Goal, Not the Fund
The biggest single mistake in fund selection is starting with the fund. The question "which mutual fund should I buy?" is unanswerable because it''s missing inputs. The right question is: "I have ₹X to invest for Y years to achieve goal Z — what fund category fits, and what specific fund within that category is the best execution choice?"
This sequencing matters because the category decision determines roughly 80% of the fund''s long-term return characteristics. A great large-cap fund is still a large-cap fund — it won''t deliver small-cap returns, and it shouldn''t. A poor flexi-cap fund will still broadly track the equity market. The differences within a category (which is what most "best fund" lists obsess over) are typically 1-3 percentage points of CAGR. The differences between categories are 3-8 percentage points. Get the category right first; then optimise within it.
Match your goal''s horizon to the category in this order:
| Goal horizon | Primary category | Typical CAGR | Examples |
|---|---|---|---|
| Under 1 year | Liquid fund | 6.5-7.5% | Emergency fund, near-term expenses |
| 1-3 years | Short-duration debt | 7.0-8.0% | Down payment in 2 years, school fee deposit |
| 3-7 years | Hybrid (BAF / aggressive hybrid) | 8-11% | Child''s college bills due in 5-7 years |
| 7-15 years | Multi-cap / flexi-cap equity | 11-13% | Home upgrade goals, mid-term retirement bucket |
| 15+ years | Large-cap index / mid-cap blend | 11-13% | Long-term retirement, children''s higher education |
| Tax-saving (with 80C unused) | ELSS | 11-12% | If old regime and 80C cap not yet hit |
Note the ELSS row''s caveat. ELSS funds make sense only if you''re in the old tax regime and haven''t yet hit the ₹1.5 lakh Section 80C limit through other instruments (EPF, PPF, life insurance premiums, home loan principal). If you''re in the new regime, ELSS provides no tax advantage over a regular flexi-cap fund, and the 3-year lock-in becomes a pure cost.
Filter 1 — Category Fit
SEBI classifies equity mutual funds into specific categories with mandatory portfolio compositions. Understanding the category labels prevents you from being mis-sold:
| Category | Portfolio mandate | Typical risk |
|---|---|---|
| Large-cap | 80%+ in top 100 stocks by market cap | Lower volatility, lower return |
| Mid-cap | 65%+ in stocks ranked 101-250 by market cap | Higher volatility, higher return potential |
| Small-cap | 65%+ in stocks ranked 251+ by market cap | Very high volatility, very high return potential |
| Multi-cap | Min 25% each in large, mid, small-cap | Diversified, moderate volatility |
| Flexi-cap | 65%+ equity; no minimum allocation per cap size | Manager-driven, varies widely |
| Large & Mid Cap | Min 35% each in large and mid-cap | Between large and mid in risk profile |
| ELSS | 80%+ equity; 3-year lock-in | Like flexi-cap, with tax savings under 80C (old regime) |
| Aggressive Hybrid | 65-80% equity, rest debt | Equity returns with debt cushion |
| Balanced Advantage (BAF) | Dynamic equity-debt split based on valuations | ~80% of equity returns with smaller drawdowns |
For most retail investors with multi-decade horizons, the practical recommendation is: core allocation to a Nifty 50 or Nifty Next 50 index fund (40-60% of equity portfolio), satellite allocations to mid-cap and small-cap funds (20-30%), and a flexi-cap or multi-cap as a single-fund diversified play (20-30%). Avoid sectoral and thematic funds for core holdings — they''re concentrated bets with timing risk that''s nearly impossible to get right consistently.
Filter 2 — Fund Size (Assets Under Management)
Fund size matters in different ways for different categories. The intuition: a fund that''s too small (under ₹500 crore AUM) may close to new subscriptions, lacks the institutional infrastructure of larger AMCs, and has higher fixed costs spread over fewer assets — pushing up expense ratios. A fund that''s too large faces a different problem: difficulty deploying new money efficiently, especially in mid and small-cap where liquidity is limited.
| Category | AUM sweet spot | Notes |
|---|---|---|
| Large-cap active | ₹2,000-50,000 crore | Less size-sensitive; large universe to invest in |
| Flexi/Multi-cap | ₹2,000-30,000 crore | Above ₹30K cr, harder to outperform actively |
| Mid-cap | ₹2,000-20,000 crore | Significant size sensitivity in this category |
| Small-cap | ₹2,000-15,000 crore | Hard ceiling — managers often stop accepting new SIPs beyond this |
| Index funds | Bigger is generally better | Lower tracking error, lower expense ratios at scale |
For small-cap funds specifically, watch for AMCs that have closed lumpsum subscriptions (some major small-cap funds have done so when AUM crossed ₹10-15K crore) — this is actually a positive signal that the manager is being disciplined about not over-stretching the strategy. Conversely, a small-cap fund with ₹30,000+ crore AUM is functionally a mid-cap fund — the universe of investable small-caps simply can''t absorb that much capital efficiently.
Filter 3 — Expense Ratio (The Silent Killer)
This is where the framework produces its largest single-decision impact, and where most retail investors lose substantial wealth without realising it. Every mutual fund offers two plan types:
- Direct Plan — purchased directly from the AMC or through platforms that don''t take commission (Zerodha Coin, Groww, Kuvera, ET Money Direct, AMC websites). Expense ratio typically 0.10-1.0% depending on category.
- Regular Plan — purchased through distributors, banks, or advisors who earn a trail commission. Expense ratio typically 0.7-1.5 percentage points higher than the direct plan.
The same underlying fund, identical portfolio, identical management — but the expense ratio differs by 1 percentage point or more. This sounds small in any single year. Compounded over a multi-decade SIP, it becomes one of the largest decisions in your investing life.
| Monthly SIP | 20-year value at 11.5% net (Direct) | 20-year value at 10.5% net (Regular) | Direct Plan advantage |
|---|---|---|---|
| ₹5,000 | ₹46.7 lakh | ₹40.9 lakh | ₹5.82 lakh |
| ₹10,000 | ₹93.4 lakh | ₹81.8 lakh | ₹11.64 lakh |
| ₹25,000 | ₹2.33 crore | ₹2.04 crore | ₹29.09 lakh |
| ₹50,000 | ₹4.67 crore | ₹4.09 crore | ₹58.18 lakh |
For a typical ₹15,000-25,000 monthly SIP run over 20 years, the Direct Plan choice quietly hands the investor an extra ₹17-29 lakh of wealth versus the Regular Plan. The math gets even more dramatic over 30 years — the same ₹10,000 SIP shows a Direct vs Regular gap of ₹62 lakh.
The case for using a distributor and paying the Regular Plan premium exists only if the distributor adds genuine value beyond fund selection — comprehensive financial planning, tax planning, goal mapping, and behavioural coaching during market downturns. Most retail relationships don''t deliver this level of value; they''re purely transactional fund-selection services. For these, paying 1% per year forever is paying for nothing.
Within the Direct Plan, expense ratios still differ across funds. The rough ranges:
- Nifty 50 / Nifty Next 50 index funds: 0.10-0.30% (low; some near 0.05%)
- Large-cap active: 0.30-1.20%
- Mid-cap active: 0.40-1.50%
- Small-cap active: 0.50-1.80%
- Flexi-cap active: 0.40-1.50%
- ELSS active: 0.40-1.30%
Within any category, prefer funds at the lower end of their category''s expense range — provided everything else (size, manager, returns) is also acceptable.
Filter 4 — Manager Tenure
Fund manager continuity is a genuine quality signal, with three caveats:
5+ years with the same fund: positive signal. The manager has had time to build a coherent investment philosophy and demonstrate it across at least one full market cycle. Performance attributable to skill becomes plausibly differentiable from luck.
Under 2 years: too new to evaluate. A new manager''s performance reflects either luck (one good calendar year of style tailwinds) or transition friction (still adjusting the inherited portfolio). Either way, the data isn''t informative yet. Wait.
Manager change: re-evaluate, don''t auto-exit. When a respected manager moves (e.g., Prashant Jain leaving HDFC Mutual Fund in 2022, Sankaran Naren''s coverage adjustments at ICICI Pru), reassess whether the fund''s mandate, process, and team continuity remain intact. Sometimes the change matters enormously (small AMC, manager-dependent process); sometimes it matters little (large AMC with strong institutional process). Don''t panic-exit on a manager change without analysis.
For index funds, manager tenure is irrelevant. The fund tracks an index mechanically. The manager''s job is to minimise tracking error, not to make active calls. Manager changes in index funds are non-events.
You can check manager tenure on the AMFI website, AMC factsheets, or platforms like Value Research and Morningstar. Look at the specific scheme tenure, not the manager''s overall career length — what matters is how long this manager has run this specific fund.
Filter 5 — Risk-Adjusted Returns (Rolling, Not Trailing)
The final filter is where most investors get it most wrong. The common mistake: sort funds by 1-year or 3-year trailing returns and pick the highest. This is statistically equivalent to picking funds at random and adds nothing to long-term outcomes.
The right approach uses rolling returns — the average return computed across many overlapping investment periods. For example, "5-year rolling returns" for a fund means: calculate the 5-year CAGR for every possible start date in the fund''s history (Jan 2010 to Jan 2015, Feb 2010 to Feb 2015, etc.), then look at the distribution. This shows whether the fund delivers consistent returns or just got lucky with one good cherry-picked period.
Key metrics to evaluate from rolling returns:
- Median 5-year rolling CAGR — your typical experience as an investor in this fund
- Maximum drawdown — the worst peak-to-trough fall in any 5-year period
- Standard deviation — volatility of the rolling returns; lower is more consistent
- Sharpe ratio — return per unit of risk; higher is better
- Beat category average — what fraction of rolling periods did this fund beat the category mean?
Tools that show rolling returns include Value Research Online, Morningstar India, RupeeVest, and Zerodha Coin''s fund detail pages. For a fund to pass this filter, look for:
- 5-year rolling CAGR median at or above the category average
- Beat category in 60%+ of rolling periods
- Maximum drawdown not significantly worse than category peers
- Sharpe ratio at least matching category median
This filter is most useful for selecting active funds. For index funds, rolling returns of the underlying index are essentially the rolling returns of the fund (minus tracking error and expense ratio), so this filter is less differentiating.
Applying the Framework: Choosing a Large-Cap
Now apply the five filters to a concrete selection. Goal: 15-year horizon, ₹15,000 monthly SIP into a large-cap allocation.
Filter 1 — Category fit: 15-year horizon, equity is appropriate. Large-cap delivers lower volatility than mid/small-cap for the long-term core allocation.
Filter 2 — Fund size: Within ₹2,000-50,000 crore for active large-cap, or any size for index funds.
Filter 3 — Expense ratio: The SPIVA India Mid-Year 2025 data is the critical input here. 73% of active large-cap funds underperformed their benchmark over 10 years. Over 5 years, the underperformance rate was 90%. This means the expected value of choosing an active large-cap fund is negative — most managers, after fees, fail to beat the simple index. The rational default is a Nifty 50 index fund at 0.10-0.20% expense ratio.
Filter 4 — Manager tenure: Not applicable for index funds (passive mandate).
Filter 5 — Risk-adjusted returns: For index funds, rolling returns are essentially the Nifty 50''s rolling returns. Long-term median 5-year rolling CAGR of the Nifty 50 has been 11-13%.
Result: The framework recommends a low-cost Nifty 50 index fund (UTI Nifty 50 Index, HDFC Nifty 50 Index, Tata Nifty 50 Index, or ICICI Pru Nifty 50 Index — all available in Direct Plan at 0.10-0.20%). For investors wanting slightly more diversification, the Nifty Next 50 (the next 50 largest stocks) offers higher historical returns with slightly more volatility.
Applying the Framework: Choosing a Small-Cap
Same investor, but now selecting a small-cap allocation (₹5,000 monthly satellite SIP).
Filter 1 — Category fit: Small-cap is appropriate as a satellite allocation (10-15% of equity) for long-horizon investors who can tolerate 30-40% drawdowns.
Filter 2 — Fund size: Critical filter here. Avoid funds with AUM above ₹15,000 crore — beyond this, the small-cap universe doesn''t support efficient deployment. Several major small-cap funds have closed lumpsum subscriptions citing exactly this reason; their SIPs remain open but at controlled scale.
Filter 3 — Expense ratio: Here the calculation differs from large-cap. SPIVA India 2025 data shows active small-cap funds, on a risk-adjusted basis, beat their benchmark in about 52% of cases over 10 years. This is the strongest case for active management in any equity category. The expense ratio matters, but paying 1.0-1.5% for genuine active management is defensible here, unlike large-cap.
Filter 4 — Manager tenure: Strongly prefer funds with manager tenure of 5+ years. Small-cap is the category where individual manager skill matters most.
Filter 5 — Risk-adjusted returns: Look at 7- and 10-year rolling returns. Beat-the-category frequency of 60%+ on a risk-adjusted basis is a meaningful filter.
Result: An active small-cap fund makes sense — one with AUM under ₹15,000 crore, manager tenure of 5+ years, expense ratio at the lower end of the small-cap range (0.5-1.0%), and a track record of beating the category benchmark more often than not on rolling returns. Recent strong performers over rolling 10-year windows have included Nippon India Small Cap, SBI Small Cap, Axis Small Cap, and DSP Small Cap — though specific fund quality should be verified at the time of investment.
The SPIVA Context — When Active Actually Works
The SPIVA (S&P Indices Versus Active) India scorecard, published twice yearly by S&P Dow Jones Indices, is the most rigorous comparison of active funds vs their benchmarks in India. The Mid-Year 2025 data:
| Category | 1-year underperformance | 5-year underperformance | 10-year underperformance |
|---|---|---|---|
| Large-cap | 66% | 90% | 73% |
| Mid/Small-cap | ~30% | 67% | 82% |
| ELSS | ~50% | 68% | 87% |
Two implications stand out. First, active large-cap funds have been remarkably bad at beating the Nifty 50 over long periods — the case for indexing in this category is overwhelming. Second, active mid/small-cap funds show meaningfully better risk-adjusted performance; the 82% underperformance figure on absolute returns falls to about 52% on a risk-adjusted basis over 10 years, suggesting active managers are taking less risk to achieve similar returns. This is the legitimate case for active management in the smaller-cap categories.
The practical synthesis: use index funds for large-cap, consider active for mid/small-cap, and skip ELSS unless you specifically need 80C and are in the old regime.
Common Mistakes
Specific patterns that produce worse outcomes:
Chasing 1-year returns. The fund with the highest 1-year return is statistically likely to be a fund that benefited from a sector or style tailwind that won''t repeat. Last year''s top decile becomes next year''s bottom quartile with depressing regularity.
Defaulting to Regular Plan via a relationship distributor. The math from Filter 3 shows the cost: ₹11-29 lakh of wealth over a 20-year SIP. Unless your distributor delivers genuine ongoing value beyond fund selection, switch to Direct Plan through Zerodha Coin, Groww, Kuvera, or AMC websites.
Investing in too many funds. Five to seven funds is typically the maximum useful diversification within an equity portfolio. Beyond that, additional funds add no diversification benefit (they own the same stocks) but make portfolio tracking and rebalancing difficult. A focused 4-fund portfolio (Nifty 50 index + Nifty Next 50 index + a small-cap + a flexi-cap) covers most of the Indian equity opportunity efficiently.
Switching funds frequently to "chase performance". Each switch triggers capital gains tax and exit load. Even when justified by genuine underperformance, switches should be evaluated annually, not monthly. The compounding cost of friction trades is one of the larger silent destroyers of long-term returns.
Buying sectoral or thematic funds for core holdings. A "manufacturing" or "consumption" or "infrastructure" fund is a concentrated bet that the sector will outperform. This is timing-dependent and notoriously hard to get right. Use sectoral funds, if at all, as small satellites — not as core holdings.
Ignoring expense ratios because "it''s only 1%". 1% per year for 20-30 years is the difference between retiring with ₹X and retiring with X + 15-30%. The compounding math is unforgiving.
The 30-Minute Selection Process
To make this operational, here''s the actual workflow once you''ve decided on a category:
- Open Value Research Online or Morningstar India (or Zerodha Coin / Groww''s fund pages). Filter to the relevant category (e.g., "Large Cap" or "Small Cap").
- Sort by 10-year rolling return median, not 1-year trailing return. Take the top 10-15 funds.
- Apply the size filter: for active small-cap, keep only funds under ₹15,000 crore AUM; for active mid-cap, under ₹20,000 crore; for active large-cap, no upper limit but minimum ₹2,000 crore.
- Filter to Direct Plan only. Compare expense ratios — eliminate funds in the top quartile of expense ratio for their category.
- Check manager tenure on the fund factsheet. Eliminate funds with manager tenure under 2 years.
- Pick 1-2 funds from the remaining list. Among the qualifying funds, prefer those from large AMCs with strong institutional processes (HDFC, ICICI Pru, SBI, Nippon India, Axis, DSP, Kotak, Mirae, Aditya Birla Sun Life).
- Verify the fund accepts direct online investments. Most do; some smaller AMCs require a more manual process.
The entire process takes about 30 minutes per category for first-time setup. Once you''ve chosen, the right behaviour is to leave the fund alone — review once a year, not monthly. The decisions that produce wealth are at the framework level (asset allocation, expense efficiency, sticking with the strategy through downturns), not at the fund-tinkering level.
Frequently Asked Questions
How do I choose the best mutual fund in India?
Apply five filters in order. First, match your goal''s horizon to the right category (equity for 7+ years, hybrid for 3-7, debt for under 3). Second, prefer funds with AUM in the sweet spot for that category (₹2,000-30,000 crore for most active equity, under ₹15,000 crore for small-cap). Third, always choose Direct Plan over Regular Plan — the 1% expense ratio gap costs ₹11-29 lakh over a 20-year SIP. Fourth, prefer manager tenure of 5+ years; avoid funds with managers under 2 years. Fifth, evaluate using 5-7 year rolling returns and risk-adjusted metrics, not 1-year trailing returns. For large-cap specifically, the SPIVA India 2025 data (73% of active funds underperformed over 10 years) makes a strong case for low-cost Nifty 50 index funds as the default.
Should I invest in Direct Plan or Regular Plan?
Direct Plan, almost always. The expense ratio gap is typically 1 percentage point (0.7-1.2pp depending on category), compounding to ₹11.6 lakh extra wealth on a ₹10,000/month SIP over 20 years, or ₹29 lakh on a ₹25,000/month SIP. Direct Plans are available through Zerodha Coin, Groww, Kuvera, ET Money Direct, and directly through AMC websites — all at zero brokerage or distribution commission. The Regular Plan only makes sense if your distributor delivers genuine ongoing value beyond fund selection — comprehensive financial planning, tax planning, goal mapping, and behavioural coaching during market downturns. Most retail distributor relationships don''t deliver this level of value; they''re purely transactional fund-selection services.
What is the right expense ratio for a mutual fund?
It depends on the category. For Nifty 50 / Nifty Next 50 index funds, 0.10-0.20% (Direct Plan) is the right range — anything significantly above this should be questioned. For active large-cap funds, 0.30-1.20% in Direct Plan is the typical range; prefer the lower end. For active mid-cap, 0.40-1.50%. For active small-cap, 0.50-1.80%. ELSS active funds: 0.40-1.30%. In any category, prefer funds at the lower end of the expense range, provided other quality filters (size, manager tenure, rolling returns) are also acceptable. Avoid Regular Plans regardless of category — the 1 percentage point expense premium compounds painfully over time.
Are index funds better than active mutual funds in India?
For large-cap, yes — the SPIVA India Mid-Year 2025 data shows 73% of active large-cap funds underperformed their benchmark over 10 years; 90% underperformed over 5 years. The expected value of choosing an active large-cap fund is negative for retail investors. A low-cost Nifty 50 index fund (0.10-0.20% expense ratio) is the rational default. For mid-cap and small-cap, the picture is more nuanced — active managers underperform on absolute returns (82% over 10 years for small-cap) but show meaningfully better risk-adjusted performance (about 52% underperformance on a risk-adjusted basis), reflecting that active managers in this category take less risk for similar returns. Active mid/small-cap funds with strong rolling returns and reasonable size remain defensible choices.
How much AUM is too much for a small-cap mutual fund?
Roughly ₹15,000 crore is the practical ceiling for active small-cap funds. Beyond this, the universe of investable small-caps (companies ranked 251+ by market cap) doesn''t support efficient deployment — the manager either has to hold larger positions in fewer stocks (concentration risk) or drift up the market-cap curve (mandate violation that SEBI categorisation rules are meant to prevent). Several major small-cap funds (Nippon India Small Cap, SBI Small Cap, Axis Small Cap) have at various points closed lumpsum subscriptions when AUM crossed these levels, citing exactly this concern. Closed lumpsum subscriptions are actually a positive signal — the manager is being disciplined about strategy capacity rather than pursuing AUM growth.
How long should I hold a mutual fund?
For equity mutual funds, the practical minimum is 7 years to allow for at least one complete market cycle. Holding under 3 years exposes you to short-term volatility risk that equity wasn''t designed for. The maximum is essentially indefinite — there''s no inherent reason to exit a good fund if it continues to match your goal and pass the five filters. Review annually using the same five filters used for selection; exit only if (a) the fund fails the size filter (e.g., a small-cap fund grows to ₹30,000+ crore and effectively becomes a mid-cap), (b) manager changes warrant a re-evaluation that comes up negative, (c) expense ratio drifts materially above peers, or (d) rolling returns underperform the category materially and persistently over 5+ years.
Is it worth switching mutual funds to chase higher returns?
Rarely. Each switch triggers capital gains tax (12.5% LTCG above ₹1.25 lakh exemption for equity held over 12 months; 20% STCG if held under 12 months) plus exit loads if applicable. Even when justified by genuine underperformance, switches should be evaluated annually, not monthly. The behaviour of switching to last year''s top performer is statistically equivalent to randomly picking funds — last year''s outperformers regress toward the mean. Stay invested through ordinary volatility; switch only when one of the five filters has materially failed (size has ballooned, manager has changed, expense ratio has drifted up, or 5+ year rolling underperformance has emerged). For most investors, a well-chosen fund held for 15-20 years compounds dramatically better than the same period with 4-5 switching events.
Sources and Further Reading
This article references the SPIVA India Mid-Year 2025 Scorecard from S&P Dow Jones Indices, SEBI''s mutual fund categorisation rules (mandatory portfolio compositions by category), AMFI''s fund factsheet standards, and Section 80C / 112A of the Income Tax Act for ELSS and capital gains treatment. For official references and analysis tools:
- AMFI — Association of Mutual Funds in India, fund factsheets, category definitions, and AUM data
- SEBI — mutual fund regulations and categorisation framework
- S&P Dow Jones Indices — SPIVA India Scorecard, biannual active vs index comparison
- Value Research Online — fund analysis, rolling returns, and manager tenure data
Last verified: 5 June 2026. The five-filter framework is methodology that doesn''t change with market conditions. The SPIVA India data referenced is the Mid-Year 2025 scorecard; updated biannual data may modify the specific underperformance percentages but is unlikely to change the directional conclusions (active large-cap underperforms; index funds dominate; small-cap retains a case for active management). Direct Plan vs Regular Plan expense ratio differentials reflect SEBI''s current commission disclosure framework.