The two scorecard claims were read from S&P Dow Jones Indices on
27 August 2026 and the rest of the page from the publishers named beside
each figure on 28 August 2026. Two things a reader should know about the
state of the citations. The scorecards themselves are published as PDFs
that this practice cannot open, so their figures were read from S&P's
own summary, its own exhibit and its own data tool, and the report number
for the underperformance table comes from other editions of the same
document rather than from the year-end 2025 PDF. And the figures from
Morningstar and from the two fund managers were added on 28 August 2026,
each with the edition it came from, where previously they had none.
The page source carries the classification of each claim, the
licensing question this page raises, and what could not be read.
Christoph signs off as licensee.
Who this page is for
This page sits inside the professionals section, which you reached
past the caution at the top of the tool. One of the two S&P Dow Jones
Indices scorecards quoted here states that it is for use with
institutions only and not for use with retail investors. The figures
taken from it sit behind a question of S&P's own, below, and they are
not for showing to a client.
None of it is advice to you or to your clients, and none of it is a
view on any fund.
What the record shows
Both S&P Dow Jones Indices scorecards quoted on
this page are the year-end 2025 editions, so every figure taken from them
is measured as at 31 December 2025.
S&P publishes the SPIVA Scorecard for institutional and professional
use. Are you an investment professional?
Most Australian Equity General funds trailed the S&P/ASX 200
Of the Australian Equity General funds that existed at the start of the
ten years to December 2025,
88% either
did not survive the period or survived and returned less than the
S&P/ASX 200. Over one year the figure was
74% and
over fifteen years
87%.
Across all categories,
52% of funds
merged or liquidated over the fifteen years. S&P counts a fund that
closed inside that percentage, because it was part of the choice
available at the start.
S&P publishes the same measure for five categories at five
horizons. These are the percentages for the year-end 2025 edition.
The percentage counts funds rather than money. S&P
publishes an asset-weighted average separately, and it can point the
other way: in 2025 Australian listed property funds returned 11.7% on an
asset-weighted average basis against their index's 9.2%, while 40% of
them trailed it. Fund returns are measured after fees against an
index that carries no costs. S&P's methodology says so: "There has
been no deduction from index returns to account for fund investment
expenses", while the fund returns used are "net of fees, excluding
loads". S&P changed the Global Equity General category's benchmark in
2024 to the S&P World Index, which launched in May 2020, so most of
the ten and fifteen year history behind that row is back-tested index
return, which S&P warns "may differ significantly from, and be lower
than" actual returns.
A published critique of the scorecard's method exists.
Cremers, Fulkerson and Riley, in a
draft of 4 May 2026, argue that
three choices understate active performance: counting a fund that exited
as an underperformer "regardless of its actual performance prior to
exit", weighting every fund equally when most money sits in a few large
ones, and comparing against a benchmark rather than against an investable
passive fund. On their revised basis 56% of the assets in active US
equity funds underperformed in 2024. Two things travel with it: it
addresses the US scorecard rather than this one, and the Investment
Adviser Association's Active Managers Council, the active industry's own
body, supported the research. A published answer to the same body's
related persistence work calls its use of its own figures
"blatant data mining". The
scorecards report how many funds trailed. They do not say why.
Being ahead rarely lasted
Of the 70 Australian
Equity General funds in the top quarter of their peer group in the twelve
months to December 2023,
five, or
7.1%, were still in the
top quarter in both of the next two years. Of the
75 Global Equity
General funds in the top quarter in the same twelve months,
12, or
16.0%, were. If a
ranking carried no information at all, about 6% of top quarter funds
would still be there two years later, and about 0.4% after four more
years. S&P prints the same
6.25%
baseline itself. Over a longer run, of the funds in the top quarter over
the five years to December 2020,
22.4% were still in the top
quarter over the following five years, while
46.6% fell to the bottom
quarter or were merged or liquidated. Australian bond funds were the
exception, with more of them staying in the top quarter than falling to
the bottom or closing. The year-by-year run points the same way: of the
218 funds that were in the top
quarter of their category at December 2021,
five were still there at
every yearly check to December 2025, and all five are bond funds,
5 of the 17 that started, or
29.4%. In every equity category
the December 2025 figure is zero.
Top quarter is a ranking: a fund can rank well in a year it
lost money. The peer groups are 70 funds in the Australian Equity General
category and 75 in Global Equity General, so a handful of funds moves the
percentage, and the two year Australian count is statistically not
significant. Fund outcomes are not independent either, because funds in
one category share style and factor exposures. Therefore outcomes are
what is called correlated and statistics proved that correlated outcomes
vary more widely than uncorrelated outcomes. Hence what looks like a
substantial finding may be more common than a reader would assume. This
effect reduces, the larger the number of measured items and the more
diversified the numbers are. An effect that persists across many fund
categories for a long time is more likely correct but may not be correct
for any individual category and or year.
A test on annual calendar windows will not see persistence
at shorter horizons or conditioned on what a fund holds. Bollen and Busse
found "superior performance is a short-lived phenomenon that is
observable only when funds are evaluated several times a year"; Cremers
and Petajisto found that "funds with the highest Active Share
significantly outperform their benchmarks, both before and after
expenses, and they exhibit strong performance persistence"; and the
Australian study of the question, Bennett, Gallagher, Harman, Warren and
Xi, found "significant persistence among outperforming rather than
underperforming funds", fading beyond six months. On Berk and Green's
account, "the lack of persistence in active manager returns does not
imply that differential ability across managers is nonexistent or
unrewarded", because money flows to skill until the return to it is
competed away, so no persistence is what a competitive market produces
even where skill is real. The review of the research ASIC commissioned
reached the other side of it: "Good past performance seems to be, at best, a weak and
unreliable predictor of future good performance over the medium to long
term ... Where persistence was found, this was more frequently in the
shorter-term". A test that finds no persistence hasn't established that
skill is absent, but that there is no evidence that persistent skill is
something shows up more than on rare occasions over this length of time,
making it less likely to find one of the possible, rare exceptions ahead
of time, since investing with those that have the best track record is
not a strategy that has led to outperformance.
What a fund's fee does, and what the calculator does with it
The calculator on this site subtracts the fund, adviser and platform
fee from the index return. It shows what each layer costs over every
stretch of Australian history that is covered in the data. It charges
each layer on the average of the opening balance and the pre-fee closing
balance, so the dollars a fee takes out depend on how markets behaved.
The engine subtracts the fund fee and makes no allowance for tracking
difference, brokerage the fund itself pays or spreads, which an index
fund also incurs.
Source The engine, the fee assumptions it
uses and the limits above are set out on
the engine at full depth.
Statements that are mentioned in active and passive fund
discussions
Three statements about active and passive investing, each set out with
its method, the published critiques and the sources for both.
"Advice adds about 3% a year", or 5.6%, or any single
number.Both figures are published by fund managers for use
by advisers and are estimates. Vanguard says of its own 3% that it
is not annual, is very irregular, and varies by client; the current
edition of its paper puts the total at "Up to, or even exceeding, 3%
in net returns" and says the opportunities arrive "intermittently".
A critique published on Kitces.com by Derek Tharp in October 2017
adds two points: one component, the saving on fund costs, assumes
the adviser moves the client into the cheapest few per cent of
funds, and the figure is calculated before the adviser's own fee.
It adds a third that survives every edition, that there is no
counterfactual, "since we don't necessarily know how the client
would have acted in the absence of an advisor". Russell Investments
publishes its own Australian figure, which is larger, and whose
behavioural component is a twenty year investor return gap rather
than a single market episode. The 2023 report starts from the money
moving into and out of United States funds each month, as the
Investment Company Institute reports it, and solves for the single
rate of return that fits those flows, which is an internal rate of
return: 6.65% a year. It sets that beside the 10.04% a year earned
by a holding in the S&P 500 left "without alteration from
1 July 2003 to 30 June 2023", and the 3.39 point difference between
the two is the behavioural component.Sources Vanguard,
"Celebrating Vanguard Advisor's
Alpha", Advisor's Alpha Perspectives, 2025 edition, read
28 August 2026, for the current wording. The "not
annual, very irregular" wording is the
February 2019 edition's, which
reads "We do not believe this potential 3% improvement can be
expected annually; rather, it is likely to be very irregular.
Further, the extent of the value will vary based on each client's
unique circumstances". Vanguard has replaced that edition at its own
address, so it was read on 28 August 2026 from the Internet
Archive's capture of the address it was published at.
Vanguard Australia's
consumer page of December
2021 states the figure with none of those caveats:
"Proprietary research by Vanguard titled Adviser's Alpha estimated
that financial advice improved net returns by 3 per cent." Derek
Tharp,
"Can We Trust Research On The Use
Of Financial Advisors?", Kitces.com, 4 October 2017. Russell
Investments' Value of an Adviser series for Australia: the
2023 report, 5.9%, of which
3.4% is behavioural coaching; the
2025 edition, the eighth,
which is where the 5.6% comes from; and the
2026 edition of 25 August
2026, which supersedes it at 5.5%: 1.5% asset allocation, 2.8%
behavioural coaching and 1.2% tax. Russell's report is stamped
"FINANCIAL PROFESSIONAL USE ONLY" and its disclosures add "It must
not be shared with the end investor – the client of the Adviser."
The critic has interests of the same kind as the two publishers:
Kitces.com sells memberships, continuing education, conferences and
training to advisers, and its
disclosures page names XY
Planning Network, AdvicePay, New Planner Recruiting, fpPathfinder,
Focus Partners Wealth and Focus Partners Advisor Solutions among
Michael Kitces's businesses.
"Investors lag the index by four points a year."The figure comes from DALBAR's Quantitative
Analysis of Investor Behavior, known as QAIB, published each year
and sold as a report. Each edition sets an average investor return
beside an index return over the same window. DALBAR states that it
measures monthly fund sales, redemptions and exchanges, which its
glossary says the Investment Company Institute provides, and
calculates the return as the change in assets once those flows are
removed. On that description the average investor is an industry
aggregate rather than a sample of accounts.The two sides of that comparison are computed on
different bases. A fund's published return is time weighted: it
follows one dollar left in place for the whole window, whatever
money arrives or leaves. A QAIB investor return is dollar weighted:
it weights each year by the money invested in it. A saver
contributing monthly has the least money at work in the early
years, so where those were the strong years the dollar weighted
figure falls below the fund's own.A second difference opens where a fund is chosen on
its record. In the United States, Carhart, examining US equity
funds without survivor bias, found that "common factors in stock
returns and investment expenses almost completely explain
persistence in equity mutual funds' mean and risk-adjusted
returns", and that the only significant persistence left over
"is concentrated in strong underperformance by the worst-return
mutual funds", so what his model leaves unexplained is persistence
at the bottom rather than the top. Fama and French found the
aggregate portfolio of US active
equity funds close to the market portfolio, with "the high costs of
active management" showing up "intact as lower returns to
investors", though the same paper finds evidence of both superior
and inferior performance in the extreme tails once fund expenses
are added back. On that evidence a fund picked on a strong record
is expected to return about what active funds on average return,
which after their costs is below the index, and none of that
requires the investor to have mistimed anything.Three published criticisms turn on the first of
those two differences. Wade Pfau, an economics doctorate,
Professor of Practice at The American College of Financial
Services and a principal of the wealth manager McLean Asset
Management, argued in Advisor Perspectives in
March 2017 that setting a dollar weighted investor return against a
time weighted index return makes the calculation wrong. Harry Sit,
who writes The Finance Buff, publishes no academic work and runs
Advice-Only Financial, a paid directory of advisers who charge for
advice alone, worked it through
DALBAR's own figures on Kitces.com in October 2012: 3.49% a year
for the average equity fund investor against 7.81% for the
S&P 500 over the twenty years to 2011, a gap of 4.32 points,
beside DALBAR's own dollar cost averaging benchmark of 3.17%, which
the average investor finished above. Michael Edesess, a mathematics
doctorate, adjunct professor at the Hong Kong University of Science
and Technology in environment and sustainability and in finance,
and chief investment strategist at Compendium Finance, published a
related article in Advisor Perspectives in October 2017, and wrote
The Big Investment Lie in 2007, which argues that the investment
industry misleads its clients.DALBAR rejects the criticism, and answered Pfau in
the same publication on 8 May 2017. Its reply of 11 October 2017
says QAIB "uses the actual balances in investor accounts each
month", describes the error the critics claimed to have found as
"(non-existent)", and lists eleven causes of investors trailing an
index, beginning with non-uniform acquisition and withdrawal dates
and including operating expenses and portfolio trading costs.
DALBAR evaluates and certifies financial firms, and its home page
carries the line "The nation's top financial institutions choose
DALBAR" over the marks of Fidelity, Ameriprise Financial, TIAA,
Voya Financial and Morgan Stanley. The full QAIB study sells for
US$975 and an adviser edition for US$250 a year, which one adviser
may customise and give to clients; a firm may buy the cover
white-labelled with its logo at a price set by the distribution.
Advisers who recommend index funds also quote it as evidence that
investors damage their own returns.What the record supports is that such a gap exists
and can be measured. The figure moves with the window, the index
and the fund category: successive editions give 4.32 points for
the twenty years to 2011 and 3.6 for the twenty years to 2015. It
does not establish the gap as a measure of investor error, because
dollar weighting and the funds' own costs each move it with no bad
decision taken. Buying on a record that does not carry forward
moves one investor's own result the same way, without any
mistiming. One study has tried to isolate the timing part on a
different gap and a different sample: Fulkerson, Jordan, Riley and
Yan put the timing cost in Morningstar's Mind the Gap at 0.10
percentage points a year on Morningstar's own sample, against the
1.2 points Morningstar reports. No publication this practice has
been able to find separates advised accounts from unadvised ones, so
none of them measures the effect of advice.Sources DALBAR's own
QAIB page, for what it publishes and that it
is sold, its
QAIB questions page, for the
data sources, the prices and the branding licence, its
QAIB glossary, for the calculation, and its
home page, for the certification business and
the firms named on it; DALBAR's
reply of 11 October 2017, for
the eleven causes and for its own words on the calculation, read
from the EconoTimes syndication of DALBAR's release. Wade Pfau,
Advisor Perspectives, 6 March
2017, where he also writes a monthly column, his
faculty page at The American
College of Financial Services, for the title, and his
bio at McLean Asset
Management, for the firm; Harry Sit,
"Does The DALBAR Study Grossly
Overstate The Behavior Gap?", Kitces.com, 3 October 2012, for
the 1992 to 2011 figures, with
NerdWallet for his own
advice-only service, because his own pages refuse an automated
read; the venue's
contributor page states that
it does not permit sales pitches, sponsored posts or videos.
Michael Edesess,
Advisor Perspectives, 9 October
2017, and his
faculty page, read 28 August
2026, for the university posts and the Compendium Finance role; and
Norm Rothery,
MoneySense, 31 March 2017,
for the twenty years to 2015 and for the summary of Pfau's
argument, who
holds a physics doctorate and
publishes a value stock newsletter. For the evidence:
Mark Carhart,
"On Persistence in Mutual Fund
Performance", Journal of Finance, 1997, and Eugene Fama and
Kenneth French,
"Luck versus Skill in the
Cross-Section of Mutual Fund Returns", Journal of Finance,
2010, both quoted from the published abstracts; Jon Fulkerson,
Bradford Jordan, Timothy Riley and Qing Yan,
"Bad Timing Does Not Cost
Investors 15% of Their Funds' Returns: An Examination of
Morningstar's 'Mind the Gap' Study", Financial Analysts
Journal, 12 May 2026; and
Index Fund Advisors, for one
such use. The two Advisor Perspectives addresses refused an
automated read again on 28 August 2026, so Pfau's argument is given
as Rothery's summary reports it, the Edesess article is named
without its argument, and DALBAR's reply to Pfau of 8 May 2017 is
named without a link for the same reason.
"The best performing accounts belonged to investors who had
died or forgotten them", and "85% of speculators lose
money."The first is usually told as a study by a large fund
manager, most often Fidelity, which reviewed its own accounts and
found the best results in accounts nobody was trading, because the
owner had died, had forgotten the account existed, or was one of
several heirs who could not agree. No such study could be found, and
the check published in print reached the same conclusion. John
Rekenthaler put the question to Fidelity for a Morningstar column of
6 October 2015: "My Fidelity contact has not heard of such a thing,
nor has Morningstar's Fidelity Canada contact. Suffice it to say
that none of these citations came linked to the original source."
Two later pieces say the same in passing, a Motley Fool piece by
Selena Maranjian in February 2025, whose headline states that the
study does not exist, and a Monevator post of March 2021 that
describes the story as apocryphal. Monevator was a link in the chain
before it was a sceptic: the same column records that in June 2015
Monevator wrote that Fidelity had "released a study" to that effect,
which is what took the story from something a blog reported to
something said to be published.The earliest form that can be located is an anecdote
rather than a study. On an episode of Masters in Business on
Bloomberg Radio in 2014, James O'Shaughnessy told Barry Ritholtz
that Fidelity had studied which of its accounts had done best and
that the answer was the accounts of people who had forgotten they
had one, attributing it to an employee who had recently joined his
firm. Business Insider transcribed the exchange on 4 September 2014,
and that is the version most later retellings follow. The word
"dead" entered as the interviewer's guess in that exchange and the
speaker corrected it. The disagreeing heirs appear only in later
retellings, and the exchange names no figures, no period and no
document. A second strand runs beside it, and it is the one that
carries the dates: the same Morningstar column traces a Fidelity
"internal performance review of customer performance from 2003 to
2013" in which the best accounts were "either dead or inactive",
passed on through a blog, then a speech, then Monevator in June
2015.Work on the same question has been published.
Barber and Odean, in the Journal of Finance in 2000, examined 66,465
households at one discount broker between 1991 and 1996, all of them
self-directed accounts with no adviser. The households that traded
most earned 11.4% a year after costs against 17.9% for a
value-weighted market index, and the average household earned 16.4%
and turned over about 75% of its portfolio a year. Before costs the
average household earned 18.7%, so these households roughly matched
the index and fell below it on the way through: the paper's own
finding is that "it is the cost of trading and the frequency of
trading, not portfolio selections, that explain the poor investment
performance of households during our sample period". A study of
turnover measures what trading costs rather than what leaving an
account alone earns.The second statement circulates as a round number,
and 80%, 85%, 90% and 95% all appear. Published loss rates exist for
defined groups of traders and they differ by group: 81.4% of
Taiwanese day traders over 1992 to 2006; 64.2% of a sample of 324
United States day traders over 1998 and 1999; and 97% of Brazilian
futures day traders who persisted at least 300 days. No primary
source establishes a single figure for speculators as a whole, and
the round numbers in circulation are not tied to any of these
populations. The attribution offered most often, to Thomas
Hieronymus's work on futures accounts in the 1960s, can be checked
further than the page previously said: the book is obtainable and no
retelling gives a page reference, and the figure usually credited to
it appears in a magazine essay of 22 September 1967 as an
unattributed survey statistic, "Another survey, this one of 418,000
commodities transactions, turned up the fact that 75% ended in
losses", printed beside a separate quotation from Hieronymus.Figures in that range do exist, but only in a
specific area: regulators counting retail accounts in one leveraged
product. The United Kingdom's Financial Conduct Authority reported
in December 2016 that
82% of clients lost money in a representative sample of client
accounts at contracts for difference firms, and named no
measurement period. The European Securities and Markets Authority,
announcing its 2018 product intervention, said that 74% to 89% of
retail accounts typically lose money across national analyses, with
average losses per client of 1,600 to 29,000 euros. ASIC reported
that 68% of retail contracts for difference clients lost money in
the 2024 financial year, more than 458 million dollars in total
including 73 million dollars of fees, and that 70% of wholesale
clients lost money, with net losses of 738 million dollars. Those
three are what is known about one leveraged product sold in three
markets over different periods.SourcesBusiness Insider, 4 September
2014, for the radio exchange; John Rekenthaler,
"In Praise of the Dead
(Investors)", Morningstar, 6 October 2015, read from the
syndicated copy because Morningstar's own archive could not be
opened, for the check with Fidelity and for the second strand;
The Motley Fool, 3 February
2025 and
Monevator, 25 March 2021, each
for its own passing conclusion that no such study exists; Barber and
Odean,
"Trading Is Hazardous to Your
Wealth", Journal of Finance, 2000. For the loss rates: Barber,
Lee, Liu and Odean,
"The Cross-Section of Speculator
Skill: Evidence from Day Trading", Journal of Financial Markets,
2014, whose figure is "81.4% of day traders in this sample lose
money unconditionally"; Jordan and Diltz,
"The Profitability of Day
Traders", Financial Analysts Journal, 2003, where "208 traders
(64.2 percent) had a net profit less than zero after commissions";
and Chague, De-Losso and Giovannetti,
"Day trading for a living?",
2020 working paper. The last two are quoted from their published
abstracts, because Taylor and Francis and SSRN both refuse an
automated read. Thomas Hieronymus, Economics of Futures Trading,
borrowable at the Internet
Archive; the survey statistic from
Time, 22 September 1967, whose
archive refuses an automated read and which was read with a browser
on 28 August 2026.
FCA, 6 December 2016;
ESMA, 27 March 2018; and
ASIC media release 26-004MR
with
ASIC Report 828, "Risky
business: Driving change in CFD issuers' distribution practices",
20 January 2026, which gives the figures to two decimals: 133,674
retail clients, 68.42%, $458.01 million of net losses and $73.29
million of fees. That no primary source establishes one figure for
speculators as a whole is this practice's own search, of 17 August
2026 and again on 28 August 2026, and not a published
finding.
Morningstar's "Mind the Gap"
Morningstar's "Mind the Gap" compares the return the average dollar in
a fund earned with the return of the same fund, for United States mutual
funds and exchange traded funds. The fund's published return is a time
weighted return on a dollar left in place for the whole period. The
average dollar actually invested earned a different rate, usually lower.
The 2026 edition puts the gap at about
1.2 percentage
points a year over the ten years to December 2025: the average dollar
earned 8.7% a year against these funds' 9.9% aggregate annual total
return. Morningstar's own series for the ten year periods ending in
December 2021 to 2025 runs 1.7, 1.7, 1.1, 1.2 and 1.2
percentage points. A paper in the Financial Analysts Journal of May 2026
re-examined the same sample and put the part of the gap attributable to
poor timing at
0.10
percentage points a year, so the size of the behavioural component is in
dispute in the peer-reviewed literature.
Morningstar's Australian figure is much smaller:
0.40 percentage
points a year over the five years to June 2023, measured on 869
Australian funds. Part of the gap comes from the timing of money going in
and out rather than from investor decisions. In the current edition the
narrowest gaps by category are United States stock funds at 0.4 points
and allocation funds at 0.7, and the widest are alternative funds at 1.6
and sector equity at 1.2. Morningstar itself offers a reading of why the
Australian and United Kingdom gaps are the
smallest in its regional study, that "these markets are characterized by
more holistic financial advice than the other markets included in the
study", which is an interpretation of its own figures rather than a
measurement.
Source Morningstar,
"Mind the Gap 2026", published
6 August 2026, measured to 31 December 2025, for the United States
figures and the series; and
"Mind the Gap 2023: Investor Returns
Around the World", 4 October 2023, measured to 30 June 2023, for the
Australian figure. The re-examination is Jon Fulkerson, Bradford Jordan,
Timothy Riley and Qing Yan,
"Bad Timing Does Not Cost Investors 15%
of Their Funds' Returns: An Examination of Morningstar's 'Mind the Gap'
Study", Financial Analysts Journal, 12 May 2026, which is the same
paper the second statement above cites. Morningstar sells products in the
market it measures: its
2025 annual report states that it
licenses its own indices "to numerous institutions to use as the basis
for ETFs, mutual funds, derivatives and separately managed accounts" and
that it had about US$378.0 billion of assets under management and
advisement at 31 December 2025.
About
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Financial Planning Pty Ltd, ABN 28 094 300 464 is Authorised Rep. No
308161 of Fiduciary Duty Advisers Pty Ltd AFSL No 527434. Nothing on
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