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UNKNOWN · Uncategorised · wound up

BNP PARIBAS SHORT TERM FUND GROWTH OPTION

uncategorised Regular plan, growth

At a glance

the fund as it stands today, from public disclosures

NAV, 13 Mar 2022
₹25.48
−0.03% since 28 Feb 2022
1 year
4.6%
return
3 years
6.6%
a year
5 years
6.5%
a year
Since launch
7.3%
a year, over 7.5 years
Assets (AUM)
₹193 Cr
Dec 2021 AMFI quarterly average
Expense ratio, Direct / Regular
not disclosed
a year
Holdings
none disclosed
Disclosed history
—
— – — · 0 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

Cannot be measured: needs both a Direct and a Regular growth class.

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.

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

Not measurable yet: needs three years of NAV and a category median.

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.

See every window →

NAV and drawdown

Regular plan, growth class · as of 13 Mar 2022

Month-end NAV, indexed to 100 at Sep 2014

100120140160Sep 2014Aug 2016Jul 2018May 2020Mar 2022Sep 2014: NAV ₹15.13Oct 2014: NAV ₹15.31Nov 2014: NAV ₹15.45Dec 2014: NAV ₹15.59Jan 2015: NAV ₹15.76Feb 2015: NAV ₹15.83Mar 2015: NAV ₹15.95Apr 2015: NAV ₹16.02May 2015: NAV ₹16.13Jun 2015: NAV ₹16.19Jul 2015: NAV ₹16.34Aug 2015: NAV ₹16.44Sep 2015: NAV ₹16.61Oct 2015: NAV ₹16.70Nov 2015: NAV ₹16.76Dec 2015: NAV ₹16.85Jan 2016: NAV ₹16.93Feb 2016: NAV ₹16.99Mar 2016: NAV ₹17.20Apr 2016: NAV ₹17.30May 2016: NAV ₹17.40Jun 2016: NAV ₹17.53Jul 2016: NAV ₹17.76Aug 2016: NAV ₹17.89Sep 2016: NAV ₹18.05Oct 2016: NAV ₹18.18Nov 2016: NAV ₹18.48Dec 2016: NAV ₹18.41Jan 2017: NAV ₹18.58Feb 2017: NAV ₹18.55Mar 2017: NAV ₹18.66Apr 2017: NAV ₹18.74May 2017: NAV ₹18.88Jun 2017: NAV ₹19.04Jul 2017: NAV ₹19.18Aug 2017: NAV ₹19.28Sep 2017: NAV ₹19.34Oct 2017: NAV ₹19.44Nov 2017: NAV ₹19.48Dec 2017: NAV ₹19.50Jan 2018: NAV ₹19.58Feb 2018: NAV ₹19.64Mar 2018: NAV ₹19.86Apr 2018: NAV ₹19.82May 2018: NAV ₹19.87Jun 2018: NAV ₹20.01Jul 2018: NAV ₹20.17Aug 2018: NAV ₹20.27Sep 2018: NAV ₹20.26Oct 2018: NAV ₹20.38Nov 2018: NAV ₹20.58Dec 2018: NAV ₹20.80Jan 2019: NAV ₹20.90Feb 2019: NAV ₹20.99Mar 2019: NAV ₹21.29Apr 2019: NAV ₹21.28May 2019: NAV ₹21.56Jun 2019: NAV ₹21.15Jul 2019: NAV ₹21.45Aug 2019: NAV ₹21.69Sep 2019: NAV ₹21.76Oct 2019: NAV ₹22.01Nov 2019: NAV ₹22.18Dec 2019: NAV ₹22.22Jan 2020: NAV ₹22.43Feb 2020: NAV ₹22.71Mar 2020: NAV ₹22.67Apr 2020: NAV ₹22.74May 2020: NAV ₹23.20Jun 2020: NAV ₹23.54Jul 2020: NAV ₹23.79Aug 2020: NAV ₹23.74Sep 2020: NAV ₹23.89Oct 2020: NAV ₹24.23Nov 2020: NAV ₹24.42Dec 2020: NAV ₹24.48Jan 2021: NAV ₹24.47Feb 2021: NAV ₹24.32Mar 2021: NAV ₹24.52Apr 2021: NAV ₹24.69May 2021: NAV ₹24.80Jun 2021: NAV ₹24.80Jul 2021: NAV ₹24.98Aug 2021: NAV ₹25.12Sep 2021: NAV ₹25.14Oct 2021: NAV ₹25.17Nov 2021: NAV ₹25.27Dec 2021: NAV ₹25.31Jan 2022: NAV ₹25.36Feb 2022: NAV ₹25.49Mar 2022: NAV ₹25.48
100120140160Sep 2014Aug 2016Jul 2018May 2020Mar 2022Sep 2014: NAV ₹15.13Oct 2014: NAV ₹15.31Nov 2014: NAV ₹15.45Dec 2014: NAV ₹15.59Jan 2015: NAV ₹15.76Feb 2015: NAV ₹15.83Mar 2015: NAV ₹15.95Apr 2015: NAV ₹16.02May 2015: NAV ₹16.13Jun 2015: NAV ₹16.19Jul 2015: NAV ₹16.34Aug 2015: NAV ₹16.44Sep 2015: NAV ₹16.61Oct 2015: NAV ₹16.70Nov 2015: NAV ₹16.76Dec 2015: NAV ₹16.85Jan 2016: NAV ₹16.93Feb 2016: NAV ₹16.99Mar 2016: NAV ₹17.20Apr 2016: NAV ₹17.30May 2016: NAV ₹17.40Jun 2016: NAV ₹17.53Jul 2016: NAV ₹17.76Aug 2016: NAV ₹17.89Sep 2016: NAV ₹18.05Oct 2016: NAV ₹18.18Nov 2016: NAV ₹18.48Dec 2016: NAV ₹18.41Jan 2017: NAV ₹18.58Feb 2017: NAV ₹18.55Mar 2017: NAV ₹18.66Apr 2017: NAV ₹18.74May 2017: NAV ₹18.88Jun 2017: NAV ₹19.04Jul 2017: NAV ₹19.18Aug 2017: NAV ₹19.28Sep 2017: NAV ₹19.34Oct 2017: NAV ₹19.44Nov 2017: NAV ₹19.48Dec 2017: NAV ₹19.50Jan 2018: NAV ₹19.58Feb 2018: NAV ₹19.64Mar 2018: NAV ₹19.86Apr 2018: NAV ₹19.82May 2018: NAV ₹19.87Jun 2018: NAV ₹20.01Jul 2018: NAV ₹20.17Aug 2018: NAV ₹20.27Sep 2018: NAV ₹20.26Oct 2018: NAV ₹20.38Nov 2018: NAV ₹20.58Dec 2018: NAV ₹20.80Jan 2019: NAV ₹20.90Feb 2019: NAV ₹20.99Mar 2019: NAV ₹21.29Apr 2019: NAV ₹21.28May 2019: NAV ₹21.56Jun 2019: NAV ₹21.15Jul 2019: NAV ₹21.45Aug 2019: NAV ₹21.69Sep 2019: NAV ₹21.76Oct 2019: NAV ₹22.01Nov 2019: NAV ₹22.18Dec 2019: NAV ₹22.22Jan 2020: NAV ₹22.43Feb 2020: NAV ₹22.71Mar 2020: NAV ₹22.67Apr 2020: NAV ₹22.74May 2020: NAV ₹23.20Jun 2020: NAV ₹23.54Jul 2020: NAV ₹23.79Aug 2020: NAV ₹23.74Sep 2020: NAV ₹23.89Oct 2020: NAV ₹24.23Nov 2020: NAV ₹24.42Dec 2020: NAV ₹24.48Jan 2021: NAV ₹24.47Feb 2021: NAV ₹24.32Mar 2021: NAV ₹24.52Apr 2021: NAV ₹24.69May 2021: NAV ₹24.80Jun 2021: NAV ₹24.80Jul 2021: NAV ₹24.98Aug 2021: NAV ₹25.12Sep 2021: NAV ₹25.14Oct 2021: NAV ₹25.17Nov 2021: NAV ₹25.27Dec 2021: NAV ₹25.31Jan 2022: NAV ₹25.36Feb 2022: NAV ₹25.49Mar 2022: NAV ₹25.48
100120140160Sep 2014Aug 2016Jul 2018May 2020Mar 2022Sep 2014: NAV ₹15.13Oct 2014: NAV ₹15.31Nov 2014: NAV ₹15.45Dec 2014: NAV ₹15.59Jan 2015: NAV ₹15.76Feb 2015: NAV ₹15.83Mar 2015: NAV ₹15.95Apr 2015: NAV ₹16.02May 2015: NAV ₹16.13Jun 2015: NAV ₹16.19Jul 2015: NAV ₹16.34Aug 2015: NAV ₹16.44Sep 2015: NAV ₹16.61Oct 2015: NAV ₹16.70Nov 2015: NAV ₹16.76Dec 2015: NAV ₹16.85Jan 2016: NAV ₹16.93Feb 2016: NAV ₹16.99Mar 2016: NAV ₹17.20Apr 2016: NAV ₹17.30May 2016: NAV ₹17.40Jun 2016: NAV ₹17.53Jul 2016: NAV ₹17.76Aug 2016: NAV ₹17.89Sep 2016: NAV ₹18.05Oct 2016: NAV ₹18.18Nov 2016: NAV ₹18.48Dec 2016: NAV ₹18.41Jan 2017: NAV ₹18.58Feb 2017: NAV ₹18.55Mar 2017: NAV ₹18.66Apr 2017: NAV ₹18.74May 2017: NAV ₹18.88Jun 2017: NAV ₹19.04Jul 2017: NAV ₹19.18Aug 2017: NAV ₹19.28Sep 2017: NAV ₹19.34Oct 2017: NAV ₹19.44Nov 2017: NAV ₹19.48Dec 2017: NAV ₹19.50Jan 2018: NAV ₹19.58Feb 2018: NAV ₹19.64Mar 2018: NAV ₹19.86Apr 2018: NAV ₹19.82May 2018: NAV ₹19.87Jun 2018: NAV ₹20.01Jul 2018: NAV ₹20.17Aug 2018: NAV ₹20.27Sep 2018: NAV ₹20.26Oct 2018: NAV ₹20.38Nov 2018: NAV ₹20.58Dec 2018: NAV ₹20.80Jan 2019: NAV ₹20.90Feb 2019: NAV ₹20.99Mar 2019: NAV ₹21.29Apr 2019: NAV ₹21.28May 2019: NAV ₹21.56Jun 2019: NAV ₹21.15Jul 2019: NAV ₹21.45Aug 2019: NAV ₹21.69Sep 2019: NAV ₹21.76Oct 2019: NAV ₹22.01Nov 2019: NAV ₹22.18Dec 2019: NAV ₹22.22Jan 2020: NAV ₹22.43Feb 2020: NAV ₹22.71Mar 2020: NAV ₹22.67Apr 2020: NAV ₹22.74May 2020: NAV ₹23.20Jun 2020: NAV ₹23.54Jul 2020: NAV ₹23.79Aug 2020: NAV ₹23.74Sep 2020: NAV ₹23.89Oct 2020: NAV ₹24.23Nov 2020: NAV ₹24.42Dec 2020: NAV ₹24.48Jan 2021: NAV ₹24.47Feb 2021: NAV ₹24.32Mar 2021: NAV ₹24.52Apr 2021: NAV ₹24.69May 2021: NAV ₹24.80Jun 2021: NAV ₹24.80Jul 2021: NAV ₹24.98Aug 2021: NAV ₹25.12Sep 2021: NAV ₹25.14Oct 2021: NAV ₹25.17Nov 2021: NAV ₹25.27Dec 2021: NAV ₹25.31Jan 2022: NAV ₹25.36Feb 2022: NAV ₹25.49Mar 2022: NAV ₹25.48

91 month-ends · ₹15.13 → ₹25.48, 1.7× since Sep 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 regular 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

— disclosure · 0 lines · when each was first held and the change over the last three disclosures

#HoldingSectorWeightFirst heldHeld for3-mo change
No holdings disclosed in this build.

Largest sectors, latest disclosure

Not yet computable. Sector labels come from the disclosures; none were mapped for this fund.

By market cap, latest disclosure

Not yet computable. Needs cap tiers for every holding.

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
Not measurable yet. Needs at least three years of month-end NAV and a category median; not computed for this fund yet.

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 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
Not measurable yet. Needs a Direct and a Regular growth class with overlapping NAV history.

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.

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
Not measurable yet. Needs at least two consecutive monthly disclosures.

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.

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
Not measurable yet. Needs the holdings history for this fund; not computed yet.

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.

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
Not measurable yet. Detector not yet written: needs each disclosure's top ten joined to six months of forward prices. Holdings and prices are in hand.

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 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

₹193 Cr; 74% of growth came from inflows

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.

No category distribution for this measure yet.
AUM, Dec 2018 → Dec 2021₹104 Cr → ₹193 Cr (+23% a year)of that change, from flows rather than returns74% net inflows · NAV +22% over the window

Assets under management, ₹ crore, Dec 2012 – Dec 2021

100200300Dec 2012Mar 2015Sep 2017Dec 2019Dec 2021Dec 2012: ₹83 Cr (amfi-aaum)Mar 2013: ₹152 Cr (amfi-aaum)Jun 2013: ₹105 Cr (amfi-aaum)Sep 2013: ₹103 Cr (amfi-aaum)Dec 2013: ₹159 Cr (amfi-aaum)Mar 2014: ₹215 Cr (amfi-aaum)Jun 2014: ₹157 Cr (amfi-aaum)Sep 2014: ₹148 Cr (amfi-aaum)Dec 2014: ₹147 Cr (amfi-aaum)Mar 2015: ₹157 Cr (amfi-aaum)Jun 2015: ₹199 Cr (amfi-aaum)Sep 2015: ₹177 Cr (amfi-aaum)Dec 2015: ₹137 Cr (amfi-aaum)Mar 2016: ₹135 Cr (amfi-aaum)Jun 2016: ₹134 Cr (amfi-aaum)Sep 2016: ₹171 Cr (amfi-aaum)Dec 2016: ₹199 Cr (amfi-aaum)Mar 2017: ₹180 Cr (amfi-aaum)Jun 2017: ₹142 Cr (amfi-aaum)Sep 2017: ₹134 Cr (amfi-aaum)Dec 2017: ₹124 Cr (amfi-aaum)Mar 2018: ₹119 Cr (amfi-aaum)Jun 2018: ₹132 Cr (amfi-aaum)Sep 2018: ₹113 Cr (amfi-aaum)Dec 2018: ₹104 Cr (amfi-aaum)Mar 2019: ₹110 Cr (amfi-aaum)Jun 2019: ₹124 Cr (amfi-aaum)Sep 2019: ₹86 Cr (amfi-aaum)Dec 2019: ₹87 Cr (amfi-aaum)Mar 2020: ₹97 Cr (amfi-aaum)Jun 2020: ₹98 Cr (amfi-aaum)Sep 2020: ₹146 Cr (amfi-aaum)Dec 2020: ₹223 Cr (amfi-aaum)Mar 2021: ₹292 Cr (amfi-aaum)Jun 2021: ₹256 Cr (amfi-aaum)Sep 2021: ₹211 Cr (amfi-aaum)Dec 2021: ₹193 Cr (amfi-aaum)
100200300Dec 2012Mar 2015Sep 2017Dec 2019Dec 2021Dec 2012: ₹83 Cr (amfi-aaum)Mar 2013: ₹152 Cr (amfi-aaum)Jun 2013: ₹105 Cr (amfi-aaum)Sep 2013: ₹103 Cr (amfi-aaum)Dec 2013: ₹159 Cr (amfi-aaum)Mar 2014: ₹215 Cr (amfi-aaum)Jun 2014: ₹157 Cr (amfi-aaum)Sep 2014: ₹148 Cr (amfi-aaum)Dec 2014: ₹147 Cr (amfi-aaum)Mar 2015: ₹157 Cr (amfi-aaum)Jun 2015: ₹199 Cr (amfi-aaum)Sep 2015: ₹177 Cr (amfi-aaum)Dec 2015: ₹137 Cr (amfi-aaum)Mar 2016: ₹135 Cr (amfi-aaum)Jun 2016: ₹134 Cr (amfi-aaum)Sep 2016: ₹171 Cr (amfi-aaum)Dec 2016: ₹199 Cr (amfi-aaum)Mar 2017: ₹180 Cr (amfi-aaum)Jun 2017: ₹142 Cr (amfi-aaum)Sep 2017: ₹134 Cr (amfi-aaum)Dec 2017: ₹124 Cr (amfi-aaum)Mar 2018: ₹119 Cr (amfi-aaum)Jun 2018: ₹132 Cr (amfi-aaum)Sep 2018: ₹113 Cr (amfi-aaum)Dec 2018: ₹104 Cr (amfi-aaum)Mar 2019: ₹110 Cr (amfi-aaum)Jun 2019: ₹124 Cr (amfi-aaum)Sep 2019: ₹86 Cr (amfi-aaum)Dec 2019: ₹87 Cr (amfi-aaum)Mar 2020: ₹97 Cr (amfi-aaum)Jun 2020: ₹98 Cr (amfi-aaum)Sep 2020: ₹146 Cr (amfi-aaum)Dec 2020: ₹223 Cr (amfi-aaum)Mar 2021: ₹292 Cr (amfi-aaum)Jun 2021: ₹256 Cr (amfi-aaum)Sep 2021: ₹211 Cr (amfi-aaum)Dec 2021: ₹193 Cr (amfi-aaum)
100200300Dec 2012Mar 2015Sep 2017Dec 2019Dec 2021Dec 2012: ₹83 Cr (amfi-aaum)Mar 2013: ₹152 Cr (amfi-aaum)Jun 2013: ₹105 Cr (amfi-aaum)Sep 2013: ₹103 Cr (amfi-aaum)Dec 2013: ₹159 Cr (amfi-aaum)Mar 2014: ₹215 Cr (amfi-aaum)Jun 2014: ₹157 Cr (amfi-aaum)Sep 2014: ₹148 Cr (amfi-aaum)Dec 2014: ₹147 Cr (amfi-aaum)Mar 2015: ₹157 Cr (amfi-aaum)Jun 2015: ₹199 Cr (amfi-aaum)Sep 2015: ₹177 Cr (amfi-aaum)Dec 2015: ₹137 Cr (amfi-aaum)Mar 2016: ₹135 Cr (amfi-aaum)Jun 2016: ₹134 Cr (amfi-aaum)Sep 2016: ₹171 Cr (amfi-aaum)Dec 2016: ₹199 Cr (amfi-aaum)Mar 2017: ₹180 Cr (amfi-aaum)Jun 2017: ₹142 Cr (amfi-aaum)Sep 2017: ₹134 Cr (amfi-aaum)Dec 2017: ₹124 Cr (amfi-aaum)Mar 2018: ₹119 Cr (amfi-aaum)Jun 2018: ₹132 Cr (amfi-aaum)Sep 2018: ₹113 Cr (amfi-aaum)Dec 2018: ₹104 Cr (amfi-aaum)Mar 2019: ₹110 Cr (amfi-aaum)Jun 2019: ₹124 Cr (amfi-aaum)Sep 2019: ₹86 Cr (amfi-aaum)Dec 2019: ₹87 Cr (amfi-aaum)Mar 2020: ₹97 Cr (amfi-aaum)Jun 2020: ₹98 Cr (amfi-aaum)Sep 2020: ₹146 Cr (amfi-aaum)Dec 2020: ₹223 Cr (amfi-aaum)Mar 2021: ₹292 Cr (amfi-aaum)Jun 2021: ₹256 Cr (amfi-aaum)Sep 2021: ₹211 Cr (amfi-aaum)Dec 2021: ₹193 Cr (amfi-aaum)

37 points · months without a factsheet figure use AMFI's quarterly average

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. Replication needs a fully disclosed domestic-equity portfolio and daily prices for every line; this fund has not been replicated in this build.

Share classes

latest NAV per AMFI code

PlanOptionNAVDate
regular
BNP PARIBAS SHORT TERM FUND GROWTH OPTION
growth₹25.4813 Mar 2022
The Direct / Regular gap, in rupees

This fund does not have both a Direct and a Regular growth class in the data, so the gap cannot be measured.

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