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ICICI Prudential · Income

ICICI Prudential Multiple Yield Fund - Series 7 - 1825 Days - Plan E

Income Direct plan, growth launched 17 Sep 2014 close-ended

At a glance

the fund as it stands today, from public disclosures

NAV, 4 Oct 2019
₹14.61
+0.05% since 30 Sep 2019
1 year
7.6%
return
3 years
6.2%
a year
5 years
not enough history
Since launch
7.5%
a year, over 4.9 years
Assets (AUM)
₹3 Cr
Dec 2019 AMFI quarterly average
Expense ratio, Direct / Regular
0.04% / 1.00%
a year, as of Oct 2019
Holdings
31
top ten are 77% of the fund · Nov 2018
Disclosed history
1.9 yrs
Oct 2014 – Nov 2018 · 4 of 11 checks could run
Fund managers
not parsed from the factsheets yet

What only Anveshan can tell you

measured from the disclosures, not quoted from a brochure — each links to how it was done

P5Cost, measured

Regular plan costs 1.10 percentage points a year more than Direct

₹19,915 on ₹1 lakh over ten years. Same portfolio, two prices — the difference is what the Regular plan's distribution costs you, read from the two NAVs.

See how it is measured →
P7Whose record

Not known yet: no factsheet named a manager for this fund.

How long the people running it now have been running it, read from the monthly factsheets. A five-year record earned under someone else is not evidence about these managers.

See what is missing →
NAVTracking gap

Not replicated: the portfolio cannot be priced line by line in this build.

Each day, the NAV the fund published against the NAV its last disclosed portfolio would have produced at that day's prices. A gap that opens and stays is a change the fund has made and not disclosed yet.

See the daily gap →
P4Consistency

Beat its category in 4% of three-year stretches, and averaged −1.0 percentage points a year across all of them

25 rolling windows since 2014 · ahead by 0.5 percentage points a year when it won, behind by 1.0 when it lost. A single five-year figure depends on the day you look; the share of stretches won does not — and the average margin says whether winning often was worth anything.

See every window →

NAV and drawdown

Direct plan, growth class · as of 4 Oct 2019

Month-end NAV, indexed to 100 at Oct 2014

100120140Oct 2014Jan 2016May 2017Aug 2018Oct 2019Oct 2014: NAV ₹10.25Nov 2014: NAV ₹10.60Dec 2014: NAV ₹10.61Jan 2015: NAV ₹10.88Feb 2015: NAV ₹11.04Mar 2015: NAV ₹11.02Apr 2015: NAV ₹10.94May 2015: NAV ₹11.08Jun 2015: NAV ₹11.05Jul 2015: NAV ₹11.25Aug 2015: NAV ₹11.19Sep 2015: NAV ₹11.28Oct 2015: NAV ₹11.41Nov 2015: NAV ₹11.44Dec 2015: NAV ₹11.40Jan 2016: NAV ₹11.32Feb 2016: NAV ₹11.12Mar 2016: NAV ₹11.45Apr 2016: NAV ₹11.60May 2016: NAV ₹11.69Jun 2016: NAV ₹11.85Jul 2016: NAV ₹12.11Aug 2016: NAV ₹12.19Sep 2016: NAV ₹12.21Oct 2016: NAV ₹12.22Nov 2016: NAV ₹12.25Dec 2016: NAV ₹12.22Jan 2017: NAV ₹12.40Feb 2017: NAV ₹12.48Mar 2017: NAV ₹12.61Apr 2017: NAV ₹12.69May 2017: NAV ₹12.87Jun 2017: NAV ₹12.87Jul 2017: NAV ₹13.10Aug 2017: NAV ₹13.06Sep 2017: NAV ₹13.10Oct 2017: NAV ₹13.24Nov 2017: NAV ₹13.18Dec 2017: NAV ₹13.28Jan 2018: NAV ₹13.38Feb 2018: NAV ₹13.23Mar 2018: NAV ₹13.19Apr 2018: NAV ₹13.33May 2018: NAV ₹13.28Jun 2018: NAV ₹13.32Jul 2018: NAV ₹13.49Aug 2018: NAV ₹13.72Sep 2018: NAV ₹13.56Oct 2018: NAV ₹13.57Nov 2018: NAV ₹13.72Dec 2018: NAV ₹13.80Jan 2019: NAV ₹13.85Feb 2019: NAV ₹13.88Mar 2019: NAV ₹14.24Apr 2019: NAV ₹14.32May 2019: NAV ₹14.49Jun 2019: NAV ₹14.58Jul 2019: NAV ₹14.47Aug 2019: NAV ₹14.41Sep 2019: NAV ₹14.60Oct 2019: NAV ₹14.61
100120140Oct 2014Jan 2016May 2017Aug 2018Oct 2019Oct 2014: NAV ₹10.25Nov 2014: NAV ₹10.60Dec 2014: NAV ₹10.61Jan 2015: NAV ₹10.88Feb 2015: NAV ₹11.04Mar 2015: NAV ₹11.02Apr 2015: NAV ₹10.94May 2015: NAV ₹11.08Jun 2015: NAV ₹11.05Jul 2015: NAV ₹11.25Aug 2015: NAV ₹11.19Sep 2015: NAV ₹11.28Oct 2015: NAV ₹11.41Nov 2015: NAV ₹11.44Dec 2015: NAV ₹11.40Jan 2016: NAV ₹11.32Feb 2016: NAV ₹11.12Mar 2016: NAV ₹11.45Apr 2016: NAV ₹11.60May 2016: NAV ₹11.69Jun 2016: NAV ₹11.85Jul 2016: NAV ₹12.11Aug 2016: NAV ₹12.19Sep 2016: NAV ₹12.21Oct 2016: NAV ₹12.22Nov 2016: NAV ₹12.25Dec 2016: NAV ₹12.22Jan 2017: NAV ₹12.40Feb 2017: NAV ₹12.48Mar 2017: NAV ₹12.61Apr 2017: NAV ₹12.69May 2017: NAV ₹12.87Jun 2017: NAV ₹12.87Jul 2017: NAV ₹13.10Aug 2017: NAV ₹13.06Sep 2017: NAV ₹13.10Oct 2017: NAV ₹13.24Nov 2017: NAV ₹13.18Dec 2017: NAV ₹13.28Jan 2018: NAV ₹13.38Feb 2018: NAV ₹13.23Mar 2018: NAV ₹13.19Apr 2018: NAV ₹13.33May 2018: NAV ₹13.28Jun 2018: NAV ₹13.32Jul 2018: NAV ₹13.49Aug 2018: NAV ₹13.72Sep 2018: NAV ₹13.56Oct 2018: NAV ₹13.57Nov 2018: NAV ₹13.72Dec 2018: NAV ₹13.80Jan 2019: NAV ₹13.85Feb 2019: NAV ₹13.88Mar 2019: NAV ₹14.24Apr 2019: NAV ₹14.32May 2019: NAV ₹14.49Jun 2019: NAV ₹14.58Jul 2019: NAV ₹14.47Aug 2019: NAV ₹14.41Sep 2019: NAV ₹14.60Oct 2019: NAV ₹14.61
100120140Oct 2014Jan 2016May 2017Aug 2018Oct 2019Oct 2014: NAV ₹10.25Nov 2014: NAV ₹10.60Dec 2014: NAV ₹10.61Jan 2015: NAV ₹10.88Feb 2015: NAV ₹11.04Mar 2015: NAV ₹11.02Apr 2015: NAV ₹10.94May 2015: NAV ₹11.08Jun 2015: NAV ₹11.05Jul 2015: NAV ₹11.25Aug 2015: NAV ₹11.19Sep 2015: NAV ₹11.28Oct 2015: NAV ₹11.41Nov 2015: NAV ₹11.44Dec 2015: NAV ₹11.40Jan 2016: NAV ₹11.32Feb 2016: NAV ₹11.12Mar 2016: NAV ₹11.45Apr 2016: NAV ₹11.60May 2016: NAV ₹11.69Jun 2016: NAV ₹11.85Jul 2016: NAV ₹12.11Aug 2016: NAV ₹12.19Sep 2016: NAV ₹12.21Oct 2016: NAV ₹12.22Nov 2016: NAV ₹12.25Dec 2016: NAV ₹12.22Jan 2017: NAV ₹12.40Feb 2017: NAV ₹12.48Mar 2017: NAV ₹12.61Apr 2017: NAV ₹12.69May 2017: NAV ₹12.87Jun 2017: NAV ₹12.87Jul 2017: NAV ₹13.10Aug 2017: NAV ₹13.06Sep 2017: NAV ₹13.10Oct 2017: NAV ₹13.24Nov 2017: NAV ₹13.18Dec 2017: NAV ₹13.28Jan 2018: NAV ₹13.38Feb 2018: NAV ₹13.23Mar 2018: NAV ₹13.19Apr 2018: NAV ₹13.33May 2018: NAV ₹13.28Jun 2018: NAV ₹13.32Jul 2018: NAV ₹13.49Aug 2018: NAV ₹13.72Sep 2018: NAV ₹13.56Oct 2018: NAV ₹13.57Nov 2018: NAV ₹13.72Dec 2018: NAV ₹13.80Jan 2019: NAV ₹13.85Feb 2019: NAV ₹13.88Mar 2019: NAV ₹14.24Apr 2019: NAV ₹14.32May 2019: NAV ₹14.49Jun 2019: NAV ₹14.58Jul 2019: NAV ₹14.47Aug 2019: NAV ₹14.41Sep 2019: NAV ₹14.60Oct 2019: NAV ₹14.61

61 month-ends · ₹10.25 → ₹14.61, 1.4× since Oct 2014

Deepest fall (max drawdown)
not computed
Worst month
not computed
Days to recover
not computed
from the deepest trough back to the old high

Drawdown is measured on the last year of daily NAV; trailing returns are CAGR of the direct growth class. A single end date decides them — the consistency card (P4) below is the record that does not, and it reports both how often the fund beat its category and by how much, because the first without the second can point the wrong way.

Holdings

Nov 2018 disclosure · 31 lines · when each was first held and the change over the last three disclosures

#HoldingSectorWeightFirst heldHeld for3-mo change
1 Power Grid Corporation Of India Ltd. **
corporate bond
— 13.33% Oct 2014 4.2 yrs −0.41% points
2 Power Finance Corporation Ltd. **
corporate bond
— 13.32% Oct 2014 4.2 yrs −0.41% points
3 LIC Housing Finance Ltd. **
corporate bond
— 13.29% Oct 2014 4.2 yrs −0.42% points
4 Tata Sons Ltd. **
corporate bond
— 13.28% Oct 2014 4.2 yrs −0.39% points
5 Volkswagen Finance Pvt. Ltd. **
corporate bond
— 5.26% Sep 2018 3 mo +5.26% points
6 NABARD **
corporate bond
— 3.98% Apr 2017 1.7 yrs −0.08% points
7 Indian Railway Finance Corporation Ltd. **
corporate bond
— 3.96% Sep 2018 3 mo +3.96% points
8 Rural Electrification Corporation Ltd. **
corporate bond
— 3.72% Oct 2014 4.2 yrs −0.11% points
9 HDFC Bank Ltd.
equity
Banks 3.29% Oct 2014 4.2 yrs −0.47% points
10 HCL Technologies Ltd.
equity
Software 3.13% Jun 2015 3.5 yrs −0.19% points
11 ICICI Bank Ltd.
equity
Banks 3.07% Dec 2014 4.0 yrs +0.56% points
12 Net Current Assets
cash equivalent
— 2.72% Apr 2015 3.7 yrs −0.94% points
13 Ultratech Cement Ltd. **
corporate bond
— 1.84% Apr 2018 8 mo −0.04% points
14 Shree Cements Ltd.
equity
Cement 1.56% Mar 2015 3.8 yrs −0.08% points
15 Lupin Ltd.
equity
Pharmaceuticals 1.47% Aug 2015 3.3 yrs +0.10% points
16 Cummins India Ltd.
equity
Industrial Products 1.25% Apr 2017 1.7 yrs +0.03% points
17 Hindustan Unilever Ltd.
equity
Consumer Non Durables 1.15% Apr 2017 1.7 yrs −0.19% points
18 State Bank Of India
equity
Banks 1.14% Nov 2018 1 mo +1.14% points
19 Wipro Ltd.
equity
Software 1.12% Oct 2014 4.2 yrs +0.14% points
20 Larsen & Toubro Ltd.
equity
Construction Project 1.09% Apr 2018 8 mo +0.69% points
21 Tata Sons Ltd. **
corporate bond
— 1.06% Mar 2015 3.8 yrs −0.03% points
22 Tata Motors Ltd.
equity
Auto 0.94% Jun 2015 3.5 yrs −0.96% points
23 NTPC Ltd.
equity
Power 0.84% Sep 2018 3 mo +0.84% points
24 TREPS / cash equivalents
TREPs · money market
— 0.81% Nov 2018 1 mo +0.81% points
25 Sun Pharmaceutical Industries Ltd.
equity
Pharmaceuticals 0.65% May 2017 1.6 yrs −0.32% points
26 Axis Bank Ltd.
equity
Banks 0.57% Nov 2018 1 mo +0.57% points
27 Motherson Sumi Systems Ltd.
equity
Auto Ancillaries 0.50% Apr 2017 1.7 yrs −0.27% points
28 IndusInd Bank Ltd.
equity
Banks 0.44% Apr 2017 1.7 yrs −0.08% points
29 Coal India Ltd.
equity
Minerals/Mining 0.44% Nov 2018 1 mo +0.44% points
30 ITC Ltd.
equity
Consumer Non Durables 0.44% Nov 2018 1 mo +0.44% points
31 Power Grid Corporation Of India Ltd.
equity
Power 0.36% Apr 2018 8 mo −0.06% points
Showing 1–31 of 31 rows per page102550all

Largest sectors, Nov 2018 · grey: a year ago

Banks8.5% · 5.9%
Software4.3% · 4.2%
Pharmaceuticals2.1% · 3.5%
Consumer Non Durables1.6% · 3.1%
Cement1.6% · 2.0%
Industrial Products1.3%
Power1.2%
Construction Project1.1%
share of the book05%10%

By market cap, Nov 2018

Large cap17.0%
Mid cap3.2%
Cash & equivalents3.5%
Not classified3.3%
Other73.0%
share of the book025%50%75%100%

"Not classified" is what no cap tier could be inferred for — newly listed names, or lines without an ISIN.

Composition by market cap, month by month — what the fund actually held against what its label says

Large cap: 7% → 17%Mid cap: 3% → 3%Cash & other: 0% → 4%25%50%75%Oct 2014Oct 2015Nov 2018
Large cap: 7% → 17%Mid cap: 3% → 3%Cash & other: 0% → 4%25%50%75%Large cap 17%Oct 2014Oct 2015Nov 2018
Large cap: 7% → 17%Mid cap: 3% → 3%Cash & other: 0% → 4%25%50%75%Large cap 17%Oct 2014Oct 2015Nov 2018
  • Large cap 17%
  • Mid cap 3%
  • Cash & other 4%

The seven checks, in full

each: the plain claim, where it sits in the category, and — folded — how it is measured and the case against. A flag fires only where headline and record disagree.

P4 Consistency, not a single end date

Beat its category in 4% of three-year stretches, and averaged −1.0 percentage points a year across all of them

25 rolling windows since 2014 · ahead by 0.5 percentage points a year when it won, behind by 1.0 when it lost

What this means. Take every three-year stretch since the fund had a NAV, one starting each month, and ask two things of each: did it beat the typical fund in its category, and by how much. Counting the wins tells you the record does not depend on when you happen to look; averaging the margin tells you whether winning often was worth anything, because four small wins do not pay for one large loss.

How often, and by how much. The count and the average agree. Ahead by 0.5 percentage points a year in the 1 window it won and behind by 1.0 in the 24 it lost, so the average across all 25 is −1.0 percentage points. The worst window ended Aug 2019, 2.1 percentage points behind.

windows measured25windows won1average across every window−0.98% points a year · median −1.00when ahead, by how much+0.52% points a year over 1 windowwhen behind, by how much−1.05% points a year over 24 windowsworst window−2.11% points a year, ended Aug 2019best window+0.52% points a year, ended Oct 2017non-overlapping windows in that span1 — the rolling count overlaps, this does not
Thin record. Only 25 rolling windows — under six years of NAV. The share is shown because it was measured; it is a start, not a record, and does not qualify for the home shelf until 36 windows exist.

Fund minus category, each rolling three-year window

-2.10.0+2.1Oct 2017: fund 8.9% vs category 8.4% (3-year CAGR)Nov 2017: fund 7.5% vs category 8.3% (3-year CAGR)Dec 2017: fund 7.8% vs category 8.1% (3-year CAGR)Jan 2018: fund 7.1% vs category 8.0% (3-year CAGR)Feb 2018: fund 6.2% vs category 7.9% (3-year CAGR)Mar 2018: fund 6.2% vs category 7.9% (3-year CAGR)Apr 2018: fund 6.8% vs category 7.8% (3-year CAGR)May 2018: fund 6.2% vs category 7.6% (3-year CAGR)Jun 2018: fund 6.4% vs category 7.6% (3-year CAGR)Jul 2018: fund 6.2% vs category 7.6% (3-year CAGR)Aug 2018: fund 7.0% vs category 7.6% (3-year CAGR)Sep 2018: fund 6.3% vs category 7.3% (3-year CAGR)Oct 2018: fund 6.0% vs category 7.3% (3-year CAGR)Nov 2018: fund 6.2% vs category 7.5% (3-year CAGR)Dec 2018: fund 6.6% vs category 7.6% (3-year CAGR)Jan 2019: fund 7.0% vs category 7.7% (3-year CAGR)Feb 2019: fund 7.7% vs category 7.8% (3-year CAGR)Mar 2019: fund 7.5% vs category 7.8% (3-year CAGR)Apr 2019: fund 7.3% vs category 7.6% (3-year CAGR)May 2019: fund 7.4% vs category 7.8% (3-year CAGR)Jun 2019: fund 7.2% vs category 7.7% (3-year CAGR)Jul 2019: fund 6.1% vs category 7.8% (3-year CAGR)Aug 2019: fund 5.7% vs category 7.8% (3-year CAGR)Sep 2019: fund 6.2% vs category 7.8% (3-year CAGR)Oct 2019: fund 6.1% vs category 8.0% (3-year CAGR)Oct 2017Nov 2018Oct 2019
-2.10.0+2.1Oct 2017: fund 8.9% vs category 8.4% (3-year CAGR)Nov 2017: fund 7.5% vs category 8.3% (3-year CAGR)Dec 2017: fund 7.8% vs category 8.1% (3-year CAGR)Jan 2018: fund 7.1% vs category 8.0% (3-year CAGR)Feb 2018: fund 6.2% vs category 7.9% (3-year CAGR)Mar 2018: fund 6.2% vs category 7.9% (3-year CAGR)Apr 2018: fund 6.8% vs category 7.8% (3-year CAGR)May 2018: fund 6.2% vs category 7.6% (3-year CAGR)Jun 2018: fund 6.4% vs category 7.6% (3-year CAGR)Jul 2018: fund 6.2% vs category 7.6% (3-year CAGR)Aug 2018: fund 7.0% vs category 7.6% (3-year CAGR)Sep 2018: fund 6.3% vs category 7.3% (3-year CAGR)Oct 2018: fund 6.0% vs category 7.3% (3-year CAGR)Nov 2018: fund 6.2% vs category 7.5% (3-year CAGR)Dec 2018: fund 6.6% vs category 7.6% (3-year CAGR)Jan 2019: fund 7.0% vs category 7.7% (3-year CAGR)Feb 2019: fund 7.7% vs category 7.8% (3-year CAGR)Mar 2019: fund 7.5% vs category 7.8% (3-year CAGR)Apr 2019: fund 7.3% vs category 7.6% (3-year CAGR)May 2019: fund 7.4% vs category 7.8% (3-year CAGR)Jun 2019: fund 7.2% vs category 7.7% (3-year CAGR)Jul 2019: fund 6.1% vs category 7.8% (3-year CAGR)Aug 2019: fund 5.7% vs category 7.8% (3-year CAGR)Sep 2019: fund 6.2% vs category 7.8% (3-year CAGR)Oct 2019: fund 6.1% vs category 8.0% (3-year CAGR)Oct 2017Nov 2018Oct 2019
-2.10.0+2.1Oct 2017: fund 8.9% vs category 8.4% (3-year CAGR)Nov 2017: fund 7.5% vs category 8.3% (3-year CAGR)Dec 2017: fund 7.8% vs category 8.1% (3-year CAGR)Jan 2018: fund 7.1% vs category 8.0% (3-year CAGR)Feb 2018: fund 6.2% vs category 7.9% (3-year CAGR)Mar 2018: fund 6.2% vs category 7.9% (3-year CAGR)Apr 2018: fund 6.8% vs category 7.8% (3-year CAGR)May 2018: fund 6.2% vs category 7.6% (3-year CAGR)Jun 2018: fund 6.4% vs category 7.6% (3-year CAGR)Jul 2018: fund 6.2% vs category 7.6% (3-year CAGR)Aug 2018: fund 7.0% vs category 7.6% (3-year CAGR)Sep 2018: fund 6.3% vs category 7.3% (3-year CAGR)Oct 2018: fund 6.0% vs category 7.3% (3-year CAGR)Nov 2018: fund 6.2% vs category 7.5% (3-year CAGR)Dec 2018: fund 6.6% vs category 7.6% (3-year CAGR)Jan 2019: fund 7.0% vs category 7.7% (3-year CAGR)Feb 2019: fund 7.7% vs category 7.8% (3-year CAGR)Mar 2019: fund 7.5% vs category 7.8% (3-year CAGR)Apr 2019: fund 7.3% vs category 7.6% (3-year CAGR)May 2019: fund 7.4% vs category 7.8% (3-year CAGR)Jun 2019: fund 7.2% vs category 7.7% (3-year CAGR)Jul 2019: fund 6.1% vs category 7.8% (3-year CAGR)Aug 2019: fund 5.7% vs category 7.8% (3-year CAGR)Sep 2019: fund 6.2% vs category 7.8% (3-year CAGR)Oct 2019: fund 6.1% vs category 8.0% (3-year CAGR)Oct 2017Nov 2018Oct 2019
ahead of categorybehind

Each bar is one window's margin in percentage points a year. The height of the bars, not the count of green ones, is what the average across every window measures.

How it is measured, and the case against

A fund that beats its category in most rolling three-year windows has a record; one that beats it in a few has an end date. How often it won and by how much are different questions, and this card answers both, because a fund can win four windows in five and still be behind across all five.

How often has it beaten its category, across every window?

Why this might matterRolling every three-year window forward month by month gives hundreds of overlapping observations instead of one. A single end date decides a headline five-year figure; the share of windows won cannot be flattered by when you happen to look. The average margin across every window is that share and the payoff multiplied together — win share x average beat plus loss share x average shortfall is exactly the average — so a high share bought with a few ruinous windows cannot hide behind the count.
Why it might notRolling windows overlap heavily, so they are not independent observations and the true sample is far smaller than the count suggests — the card says how many non-overlapping windows the same span holds, and it is usually a handful. A fund that changed manager or mandate carries a record that is only partly its own. The average margin is only as meaningful as the category: where a category is a grab bag (“Other ETFs” holds gold beside equity), a large shortfall says the comparison is wrong, not that the fund is. And none of this forecasts: our own study found the share of windows won does not predict the next three years, and weighting it by payoff gives no reason to think otherwise.
P5 Cost, measured

Regular plan costs 1.10 percentage points a year more than Direct

₹19,915 on ₹1 lakh over ten years

What this means. The Regular and Direct plans hold the same portfolio; the Regular one pays a distributor out of your money every day. The gap between the two NAVs is that cost, measured from the NAVs rather than quoted from a document.

on ₹1,00,000 over ten years₹19,915Direct vs Regular, annualised7.4% vs 6.3%measured over5 years
How it is measured, and the case against

The Direct plan is the same portfolio, priced differently; the divergence of the two NAVs is the cost, measured rather than quoted.

What does the Regular plan actually cost against its Direct twin?

Why this might matterSame manager, same holdings, same day. The gap between the two NAV series is the one number on this page that is knowable today rather than hoped for, and it compounds for as long as the units are held.
Why it might notA Regular plan buys advice. If that advice stops someone selling in a drawdown it can be worth more than the fee — the cost is visible and the behavioural saving is not, which makes this comparison unfair in exactly one direction.
P1 Churn, and what it bought

Turns over 6% of the portfolio a year

+0.31% points of excess return per unit of turnover

What this means. How much of the portfolio was bought and sold in a year, computed from what the fund disclosed each month. Trading costs something certain; the extra return it is meant to buy is not.

No category distribution for this measure yet.
excess return per unit of turnover+0.31% points
How it is measured, and the case against

Turnover measured from consecutive disclosures — Σ|Δweight|/2 — costs something certain; the excess return it is meant to buy is not.

Is the trading paying for itself?

Why this might matterAMCs define their own turnover figure inconsistently. This one is computed from what the fund disclosed month to month, so two funds are comparable on it. Read it beside the excess return per unit of turnover.
Why it might notTurnover computed from month-end snapshots misses everything bought and sold inside a month, and a fund forced to sell by redemptions is charged for churn it did not choose.
P2 Conviction or inertia

Typical top-10 holding kept 41 months

What this means. How long a typical top-10 position has been in the top ten. Long-held positions are a decision; a top ten that changes every quarter is a reaction.

No category distribution for this measure yet.
active sharenot yet computable — needs index constituent files
How it is measured, and the case against

The median months a top-10 position has been held separates a portfolio somebody chose from one that drifted.

How long does a top-10 position stay a top-10 position?

Why this might matterConcentration is how a manager expresses conviction, and persistence is how long they keep it. Long-held positions with a rising weight are a decision; a top ten that turns over every quarter is a reaction.
Why it might notPersistence without active share is inertia: a portfolio of 166 names that tracks its category closely has diversified away the reason to pay for it. Active share needs index constituent files, which are not loaded yet.
P3 Hit rate of the top ten

6 of 10 top picks beat their peers over the next 6 months, and averaged 1.5 percentage points ahead of them

207 positions judged, one disclosure at a time · ahead by 11.6 percentage points when it won, behind by 12.3 when it lost

What this means. Take each month's ten largest holdings and check whether each one beat the typical stock its category holds over the next six months, and by how much. A blended return can hide two wins and eight losses; a count of wins can hide one position that lost half its value.

How often, and by how much. The count and the average agree. Ahead by 11.6 percentage points in the 120 positions it won and behind by 12.3 in the 87 it lost, so the average across all 207 is +1.5 percentage points. The worst position was INE326A01037 at the May 2017 disclosure, 39.2 percentage points behind.

No category distribution for this measure yet.
positions judged207beat the median stock120average across every position+1.54% points · median +2.21when ahead, by how much+11.57% points over 120 positionswhen behind, by how much−12.30% points over 87 positionsworst position−39.24% points, INE326A01037 at the May 2017 disclosurebest position+54.34% points, INE465A01025 at the Oct 2014 disclosure
How it is measured, and the case against

A manager's largest bets, judged one by one over the following six months, say more than the fund's blended return — and how far each one beat or missed the median stock says more than counting how many did.

Of its top-10 positions, how often did they beat the category-median stock?

Why this might matterA fund can beat its category on two positions and lose on eight; the hit rate shows the pattern the aggregate hides. The average margin then shows what the hit rate hides in turn: six winners worth a point each do not pay for four losers worth ten, and only the margin says which happened.
Why it might notSix months is short, sizing matters more than counting, and a manager who is right on the biggest position and wrong on nine small ones has done their job — the margins here are unweighted, so they answer the counting question better, not the sizing one. Overlapping disclosures judge the same position again each month it is held, so one long-held winner is counted many times. And this is a description of six months already past, not a forecast of the next six.
P6 Size against edge

₹3 Cr, 8th percentile in category

smaller than 92% of the funds in its category (26 funds) · AUM Dec 2016 → Dec 2019 · Regular plan expense ratio 1.00%

What this means. Where the fund sits by size in its category, and how much of its growth was money arriving rather than the portfolio compounding. A very large fund cannot buy what a small one can; size should buy a lower fee in return.

median holding weight, trendfallingexpense ratio, Regular / Direct1.00% / 0.04% · category median 0.26%AUM, Dec 2016 → Dec 2019₹34 Cr → ₹3 Cr (−58% a year)

Assets under management, ₹ crore, Dec 2014 – Dec 2019

2040Dec 2014Mar 2016Sep 2017Dec 2018Dec 2019Dec 2014: ₹27 Cr (amfi-aaum)Mar 2015: ₹31 Cr (amfi-aaum)Jun 2015: ₹31 Cr (amfi-aaum)Sep 2015: ₹32 Cr (amfi-aaum)Dec 2015: ₹32 Cr (amfi-aaum)Mar 2016: ₹32 Cr (amfi-aaum)Jun 2016: ₹33 Cr (amfi-aaum)Sep 2016: ₹34 Cr (amfi-aaum)Dec 2016: ₹34 Cr (amfi-aaum)Mar 2017: ₹35 Cr (amfi-aaum)Jun 2017: ₹36 Cr (amfi-aaum)Sep 2017: ₹36 Cr (amfi-aaum)Dec 2017: ₹37 Cr (amfi-aaum)Mar 2018: ₹37 Cr (amfi-aaum)Jun 2018: ₹37 Cr (amfi-aaum)Sep 2018: ₹37 Cr (amfi-aaum)Dec 2018: ₹38 Cr (amfi-aaum)Mar 2019: ₹38 Cr (amfi-aaum)Jun 2019: ₹39 Cr (amfi-aaum)Sep 2019: ₹40 Cr (amfi-aaum)Dec 2019: ₹3 Cr (amfi-aaum)
2040Dec 2014Mar 2016Sep 2017Dec 2018Dec 2019Dec 2014: ₹27 Cr (amfi-aaum)Mar 2015: ₹31 Cr (amfi-aaum)Jun 2015: ₹31 Cr (amfi-aaum)Sep 2015: ₹32 Cr (amfi-aaum)Dec 2015: ₹32 Cr (amfi-aaum)Mar 2016: ₹32 Cr (amfi-aaum)Jun 2016: ₹33 Cr (amfi-aaum)Sep 2016: ₹34 Cr (amfi-aaum)Dec 2016: ₹34 Cr (amfi-aaum)Mar 2017: ₹35 Cr (amfi-aaum)Jun 2017: ₹36 Cr (amfi-aaum)Sep 2017: ₹36 Cr (amfi-aaum)Dec 2017: ₹37 Cr (amfi-aaum)Mar 2018: ₹37 Cr (amfi-aaum)Jun 2018: ₹37 Cr (amfi-aaum)Sep 2018: ₹37 Cr (amfi-aaum)Dec 2018: ₹38 Cr (amfi-aaum)Mar 2019: ₹38 Cr (amfi-aaum)Jun 2019: ₹39 Cr (amfi-aaum)Sep 2019: ₹40 Cr (amfi-aaum)Dec 2019: ₹3 Cr (amfi-aaum)
2040Dec 2014Mar 2016Sep 2017Dec 2018Dec 2019Dec 2014: ₹27 Cr (amfi-aaum)Mar 2015: ₹31 Cr (amfi-aaum)Jun 2015: ₹31 Cr (amfi-aaum)Sep 2015: ₹32 Cr (amfi-aaum)Dec 2015: ₹32 Cr (amfi-aaum)Mar 2016: ₹32 Cr (amfi-aaum)Jun 2016: ₹33 Cr (amfi-aaum)Sep 2016: ₹34 Cr (amfi-aaum)Dec 2016: ₹34 Cr (amfi-aaum)Mar 2017: ₹35 Cr (amfi-aaum)Jun 2017: ₹36 Cr (amfi-aaum)Sep 2017: ₹36 Cr (amfi-aaum)Dec 2017: ₹37 Cr (amfi-aaum)Mar 2018: ₹37 Cr (amfi-aaum)Jun 2018: ₹37 Cr (amfi-aaum)Sep 2018: ₹37 Cr (amfi-aaum)Dec 2018: ₹38 Cr (amfi-aaum)Mar 2019: ₹38 Cr (amfi-aaum)Jun 2019: ₹39 Cr (amfi-aaum)Sep 2019: ₹40 Cr (amfi-aaum)Dec 2019: ₹3 Cr (amfi-aaum)

21 points · months without a factsheet figure use AMFI's quarterly average · Regular-plan expense ratio 2.48% in Jun 2018 → 1.00% in Oct 2019

How it is measured, and the case against

Past a certain size the smaller end of a mandate becomes unreachable, and the fund starts to look like its index; what size should buy in return is a lower expense ratio.

Has the fund outgrown the universe it invests in — and did size buy a lower fee?

Why this might matterSize narrows what the manager can meaningfully hold and should lower what the investor pays. Read the AUM history beside the expense ratio: a fund that has tripled through inflows while its Regular-plan TER sits above the category median has kept the benefit of scale for the house. The flow decomposition says how much of the growth was money arriving rather than the portfolio compounding.
Why it might notScale funds research teams, and plenty of large funds have gone on compounding for decades. Inflows follow performance, so a fund growing fast is usually one that did well; the constraint is real but not automatically binding, and a TER is a ceiling the AMC can cut at any time.
P7 Whose record is this
Not measurable yet. Needs manager names from the monthly factsheet archive; none were parsed for this fund yet.

What this means. How long the people running it now have been running it, read from the monthly factsheets. A five-year record earned under someone else is not evidence about these managers.

How it is measured, and the case against

A record earned under different people is not evidence about these ones.

Does the displayed record predate the people running it?

Why this might matterA five-year figure on a fund whose longest-serving manager joined two years ago is the house's record more than the person's. The tenure here comes from what each monthly factsheet named, so a change of hands is dated to the month it was disclosed, and the fund's return against its category can be read over exactly those months.
Why it might notFund houses have processes, research desks and mandates that outlast individuals, so a manager change is not a reset. Co-managed funds attribute the same months to every named manager, and a factsheet names the manager of record, not necessarily the person making the calls.

Tracking gap

the NAV the fund published, against the NAV its last disclosed portfolio would have produced at each day's prices

No signal. About 77% of this fund is outside listed Indian equity — a foreign or derivative sleeve, or debt — and there are no daily prices to replicate it with. A wrong signal would be worse than none.

Share classes

latest NAV per AMFI code

PlanOptionNAVDate
direct
ICICI Prudential Multiple Yield Fund - Series 7 - 1825 Days Plan E Direct Plan Cumulative Option
growth₹14.614 Oct 2019
direct
ICICI Prudential Multiple Yield Fund - Series 7 - 1825 Days Plan E Direct Plan Dividend Option
idcw₹14.614 Oct 2019
regular
ICICI Prudential Multiple Yield Fund - Series 7 - 1825 Days Plan E Cumulative Option
growth₹13.864 Oct 2019
regular
ICICI Prudential Multiple Yield Fund - Series 7 - 1825 Days Plan E Dividend Option
idcw₹13.864 Oct 2019
The Direct / Regular gap, in money
Direct growth NAV
₹14.61
Regular growth NAV
₹13.86
NAV divergence to date
5.4% — same portfolio, priced differently
Regular costs more by
1.10% points a year
On ₹1,00,000 over ten years
₹19,915

A Regular plan buys advice. The fee is visible and the behavioural saving is not; both are shown, neither is netted off.

Compare with

same category, by size