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AMALTAS KEYSTONE FUND

Amaltas Asset Management LLP · Equity · declared benchmark (as filed): BSE 500 TRI
AUM
65 cr
CAGR (full)
18.5%
Sharpe (full)
0.49
Benchmark CAGR (full)
3.8% (BSE 500)
Active return /yr (full)
16.3%
IR (full)
0.79
Percentile (full, strategy)
55
Percentile (full, benchmark group)
54
Rank (Score, strategy)
#451 of 1,389
Rank (Score, benchmark group)
#414 of 1,257
Max drawdown
-20.1%
Since inception (APMI)
21.1%
Months of data
19
Fund manager
Chaitanya Deepak Shah
Performance fee
AMC : 0-1.5% Hurdle - 8-12% Profit share: 15%-20%
Exit load
1st year: 3% 2nd year: 0% 3rs year: 0%
Min. investment
₹50 lakh
Inception
06 Dec 2024
Turnover (1y / 1m)
1.03× / 0.08×
Objective (as filed with APMI)Identify sectors going through a business downcycle and are relatively undervalued. This is a value strategy that focuses on risk management and outperformance by buying stocks at a price that offers
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

2025202682106131Fund (NAV=100)Benchmark (declared): BSE 500 TRICategory median (Equity)

Drawdown

20252026-20-100Drawdown %

Fiscal-year record

FYReturnBenchmark
declared
Active
vs benchmark
IRvs categorySharpemonths
FY240
FY25*-13.8%-4.4%-39.2%-5.86-5.3%-1.903
FY26-4.6%-3.1%-0.9%-0.08-0.3%-0.4812
FY27*59.0%14.6%109.6%4.1342.3%3.944
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 (BSE 500 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
2025-5.5-13.2+5.1+2.1+10.6+5.3+0.4-7.3-0.6+1.8+1.2-3.0-5.3
2026-5.7+1.2-9.0+27.0+14.1+7.2+2.4+38.1

Cumulative active return

20252026-14523Cumulative 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

2025202683665AUM, ₹cr
-092026
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.