ANOMALY WEALTHMutual Fund Intelligence Data throughAug 2026 Trade Intelligence ↗

India mutual fund monitor

May 2020

Flows, assets, SIPs, fund-house structure and equity ownership activity. Each dataset keeps its own period; the status at the foot of the page lists them.

Flows & AUM May 2020 SIP not published for May 2020 NFO May 2020 Fund-house assets Jan–Mar 2020 (quarterly) Holdings not covered

Industry AUM 24.55 lakh Cr Change +61,272 Cr, incl. market movement
Total net flow +70,813 Cr Previous month +45,999 Cr
Equity net flow +5,257 Cr 14 consecutive inflow months
Debt net flow +63,666 Cr Debt-oriented schemes
Hybrid net flow +8,652 Cr Hybrid schemes
Passive net flow +2,395 Cr Index funds & ETFs · other +173 Cr
SIP contribution Not published for this period
Folios 9.10 Cr +6.13 L on the month

AMFI monthly report, May 2020. Total net flow covers all schemes; the asset-class figures are open-ended schemes. -9,542 Cr of the AUM change came from market movement and other effects, not investor money.

1 · Where money moved

Net flow by asset class · open-ended schemes · ₹ crore

Flows for May 2020 →
  • Equity +5,257 Cr
  • Debt +63,666 Cr
  • Hybrid +8,652 Cr
  • Index funds & ETFs +2,395 Cr
  • Overseas fund of funds +75.72 Cr
  • Solution oriented +97.12 Cr
Asset classThis monthPrevious3 months12 months
Equity +5,257 +6,213 +23,192 +85,240
Debt +63,666 +43,432 -87,818 -88,721
Hybrid +8,652 +4,205 -23,603 -10,561
Index funds & ETFs +2,395 +1,186 +10,298 +71,647
Overseas fund of funds +75.72 +106 +378 +1,006
Solution oriented +97.12 +82.97 +249 +2,302

3- and 12-month sums appear only where the series is unbroken; “—” means the window crosses a new classification.

2 · Category winners and losers

SEBI scheme categories · May 2020

All categories →

Largest category inflows

CategoryNet flow% of AUM3 months12 months
LiquidDebt +61,871 +15.26% +20,682 -102,772
ArbitrageHybrid +10,806 +18.41% -16,374 +12,993
Banking and PSU DebtDebt +8,873 +11.20% +9,130 +43,772
Money MarketDebt +5,010 +8.92% -23,602 -6,599
Corporate BondDebt +3,832 +4.44% +4,209 +20,964
Short TermDebt +2,040 +2.24% -11,307 +6,853
GiltDebt +1,947 +16.21% +5,209 +5,257
Large CapEquity +1,556 +1.19% +5,307 +19,149

Largest category outflows

CategoryNet flow% of AUM3 months12 months
OvernightDebt -15,881 -19.14% +13,375 +51,933
Credit RiskDebt -5,173 -14.69% -29,981 -47,030
Medium TermDebt -1,520 -7.12% -10,047 -15,742
Aggressive / Balanced Hybrid (combined)Hybrid -978 -0.89% -3,346 -18,779
Balanced Advantage / Dynamic Asset AllocationHybrid -401 -0.48% -1,122 +4,715
Equity SavingsHybrid -393 -3.44% -1,634 -6,320
Conservative HybridHybrid -342 -3.17% -1,334 -4,102
Dynamic TermDebt -75.14 -0.44% -2,063 -3,729

Investor money into and out of each category. It is not attributed to any stock.

3 · Fund-house market structure

Average AUM · quarterly

AMC explorer →

Fund-house data: Jan–Mar 2020 quarter. AMFI publishes fund-house assets as quarterly averages. This is the latest quarter that had ended by May 2020; it is not a May observation and nothing is interpolated. A later quarter (Apr–Jun 2026) is available on the AMC explorer.

Fund houseAverage AUMMarket shareΔ quarterRank
SBI Mutual Fund 3.74 lakh Cr 13.82% +0.65 pp 1was 3
HDFC Mutual Fund 3.70 lakh Cr 13.68% -0.61 pp 2was 1
ICICI Prudential Mutual Fund 3.51 lakh Cr 12.98% -0.53 pp 3was 2
Aditya Birla Sun Life Mutual Fund 2.48 lakh Cr 9.16% -0.18 pp 4
Nippon India Mutual Fund 2.05 lakh Cr 7.58% -0.05 pp 5
Kotak Mahindra Mutual Fund 1.86 lakh Cr 6.89% +0.27 pp 6
UTI Mutual Fund 1.52 lakh Cr 5.61% -0.26 pp 7
Axis Mutual Fund 1.38 lakh Cr 5.12% +0.53 pp 8was 9
Franklin Templeton Mutual Fund 1.16 lakh Cr 4.30% -0.42 pp 9was 8
Bandhan Mutual Fund 1.04 lakh Cr 3.84% -0.06 pp 10

Biggest share gainers · quarter

  1. SBI Mutual Fund+0.65 pp
  2. Axis Mutual Fund+0.53 pp
  3. Edelweiss Mutual Fund+0.44 pp
  4. Kotak Mahindra Mutual Fund+0.27 pp
  5. Mirae Asset Mutual Fund+0.13 pp

Rank changes among the top 30

  1. Edelweiss Mutual Fund20 → 17
  2. SBI Mutual Fund3 → 1
  3. HDFC Mutual Fund1 → 2
  4. ICICI Prudential Mutual Fund2 → 3
  5. Axis Mutual Fund9 → 8
  6. Franklin Templeton Mutual Fund8 → 9

Official AMC-level net-flow data is not available from the validated source. AUM movement includes both investor flows and market movement.

4 · SIPs & retail participation

AMFI Monthly Note (SIP) and monthly report (folios)

SIP & investors →
SIP contribution Not published for this period
SIP contribution · 12 months Not published for this period
SIP assets Not published for this period
Contributing SIP accounts Not published for this period
Folios 9.10 Cr +6.13 L on the month · +9.4% on a year ago

SIP contribution is published from June 2024 and SIP assets from January 2024; contributing accounts from September 2024. Earlier months show “Not published for this period”, never zero.

5 · New fund offers

New Schemes sheet of the AMFI monthly report · May 2020

NFO history →
1new schemes allotted 20.00 Crmobilised Part of this month’s gross mobilisation — shown separately, never added to category net flow.
Published categorySchemesMobilisedSchemes launched
Fixed Term Plan 1 20.00 Cr

Ordered by amount mobilised in each category. AMFI prints NFO amounts by category, so the largest NFOs are shown as the largest categories with their scheme names.

6 · Equity ownership activity

Disclosed holdings · like-for-like portfolios · May 2020

Portfolio disclosures in this dataset start in Jan 2022, so there is no holdings view for May 2020.

7 · Data status

What each figure on this page refers to

Full data status →
DatasetPeriod on this pageFrequencyLatest available
Flows, AUM, foliosMay 2020MonthlyAug 2026
SIP contribution & assetsNot published for this periodMonthly (from Jun 2024)Aug 2026
New fund offersMay 2020MonthlyAug 2026
Fund-house assets & market shareJan–Mar 2020Quarterly averageApr–Jun 2026
Equity holdingsNot coveredMonthly disclosuresAug 2026

Known limitations: no official net flow exists by fund house; fund-house figures are quarterly averages; SIP history starts in 2024; category flows cannot be attributed to stocks. Methodology →