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Active Index Portfolio

ICICI Securities Limited · Equity · declared benchmark (as filed): Nifty 50 TRI
AUM
89 cr
CAGR (full)
15.1%
Sharpe (full)
0.58
Benchmark CAGR (full)
12.1% (Nifty 50)
Active return /yr (full)
3.0%
IR (full)
0.48
Percentile (full, strategy)
52
Percentile (full, benchmark group)
67
Rank (Score, strategy)
#799 of 1,389
Rank (Score, benchmark group)
#58 of 112
Max drawdown
-23.9%
Since inception (APMI)
11.8%
Months of data
40
Fund manager
Mr Tejas Kadam
Min. investment
₹50 lakh
Inception
22 Apr 2019
Turnover (1y / 1m)
0.91× / 0.02×
Objective (as filed with APMI)To deliver Capital appreciation over a long term by investing in equities, based on low volatility and high alpha factors by following NIFTY ALPHA LOW VOLATILITY(ALV) 30 Index
Percentile ranks this fund within its full APMI Strategy (all Equity PMS together — the comparison basis SEBI's Dec-2022 circular prescribes); the benchmark-group percentile is an EdgePnL analytical refinement. The leaderboard Score is the weighted average of fiscal-year percentiles (each blends return-rank and Sharpe-rank).

Equity curve

2023202420252026104145187Fund (NAV=100)Benchmark (declared): Nifty 50 TRICategory median (Equity)

Drawdown

2023202420252026-24-120Drawdown %

Fiscal-year record

FYReturnBenchmark
declared
Active
vs benchmark
IRvs categorySharpemonths
FY2454.8%30.1%18.1%4.0717.6%3.2912
FY25-1.6%6.6%-7.1%-0.88-6.5%-0.3012
FY26-4.4%-4.0%-0.4%-0.12-0.2%-0.6412
FY27*9.5%9.9%-1.4%-0.25-7.2%1.904
Return is the TOTAL return over the months covered — never annualized (FY27* is year-to-date; a * row covers only part of the year). The BM (Nifty 50 TRI) is the fund's declared benchmark, priced by consensus chain. Active = annualized mean monthly excess return; IR = active / tracking error. Sharpe remains the primary metric.

Monthly returns (%)

JanFebMarAprMayJunJulAugSepOctNovDecYear
2023+4.7+3.6+5.0+4.2-2.8+3.3-1.4+9.5+8.5+39.7
2024+3.2+4.5+2.7+1.0+0.2+5.6+6.4+2.0+4.0-9.5-1.4-0.8+18.3
2025-6.0-8.6+7.3+2.1+1.4+4.9-3.0-0.5-0.5+4.3+1.0+0.2+1.7
2026-3.2+1.0-11.3+6.6-0.4-0.3+3.5-5.1

Cumulative active return

202320242025202601223Cumulative active return vs benchmark, %
Growth of the fund relative to its benchmark: +10 means ₹100 in the fund is worth 10% more than ₹100 in the benchmark since the start of the line.

AUM & estimated net flows

202320242025202687113138AUM, ₹cr
-50202420252026
Monthly net flow estimate: AUM_t − AUM_(t−1)·(1+r_t). Positive = net inflows, ₹cr.
Source: APMI monthly IA-level disclosures (mandated by SEBI's Dec-2022 benchmarking circular); returns are TWRR net of all fees and expenses per SEBI circular of Feb-13-2020, as reported by each portfolio manager. Benchmark series are the cross-reporter modal consensus of manager-reported benchmark figures. Reporting artifacts (impossible values on dormant months) are nulled, never silently dropped; dead funds remain in every month they existed. History begins Apr-2023 (the APMI disclosure floor). Sharpe uses rf 6%, arithmetic monthly convention. Coverage: this site lists the client-facing discretionary PMS universe open to the general public (~₹4.6 lakh crore). SEBI's headline portfolio-manager AUM (₹43.2L cr, Jun-2026) additionally includes ~₹30L+ cr of EPFO/provident-fund special mandates plus non-discretionary (₹3.4L cr) and advisory (₹3.1L cr) assets — none of which publish IA-level returns or are investable products; PF/institutional mandates and private-markets series are excluded from these listings. Independence: all figures are computed from mandatory public disclosures with a fixed methodology applied identically to every fund — no fund can pay for inclusion, exclusion, placement, or altered presentation, and any material commercial relationship will be disclosed on the affected pages. EdgePnL groupings, inferred comparison benchmarks and percentiles are analytical overlays, not official categories; each fund's declared benchmark is always shown. Nothing here is investment advice; past performance does not predict future returns. Generated 2026-08-25 05:37Z · data through Jul 2026 · leaderboard
Feedback, inputs, or bug reports are appreciated — @vivekrmr on X · LinkedIn.