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Quantifying impact of
trading costs
Academics
in their studies have come up with various estimates of the costs of trading to
individual investors:
·
Meyer estimates at 0.90% the
typical cost (excluding taxes) of trading for Germany equities investors; see
PDF doc.2220
·
In 2000 Odean and Barber, for
each round trip by discount broker clients in the 1990’s, assumed that the
average trade cost was about 1% in spread costs and 3% in commissions (again
excluding taxes); see Odean and Barber 2000, p.775, 780 PDF doc.2209D.
Almost
none of the estimates even try to measure market impact or capital gain
acceleration costs. The estimates of commissions and spreads seem much higher
than those currently in Canada, at least for customers of discount brokerage
firms trading online in modest amounts of large –cap, widely traded stocks; see
RetailInvestor.org . The estimates of
commissions may not be far off the mark for customers of full-service Canadian
brokers.
By
comparison, the cost of trading by actively-managed mutual funds has been more
closely looked at, but as an annual cost (not the cost per trade):
·
In a commentary on mutual
funds, after consulting different sources, we used as an estimate of the impact of average
annual turnover cost on returns of the typical actively managed equity mutual
fund (excluding taxes) to be equal to 1.28%; see How much do actively managed mutual funds cost
.
·
In the same commentary we
estimated that the impact on returns of fund investors due to acceleration of
capital gains tax from excessive trading by the typical actively managed equity
mutual fund to be in the order of 0.89% per year.
Quantifying trading impact
on gross returns
The
impact of trading on gross returns (i.e. before transaction costs) can refer to
actual losses resulting from unprofitable trades, or more commonly refer to an
estimate of by how much the returns of a portfolio are less than (or sometimes
exceed) a benchmark, passive portfolio or index or to the returns of investors
less inclined to trade. The return deficit is generally blamed on poor
securities selection and/or market timing skills. If a lack of skills is found,
it would be expected that the more one trades, the greater the deficit.
Active
trading by retail investors is often based on their perception of where
individual stocks are going (stock picking) and/or where markets as a whole are
headed (market timing). Investors develop or adopt rules of thumb to attempt to
predict movements in stocks or markets, but they are largely useless; see
Vanguard Forecasting stock returns or as a PDF
doc.2230 . Various studies have been
made to try to compute the impact of trading on financial returns. The impact
is typically negative both on a gross basis (i.e. even without taking into
account trading costs).
Asset
allocation is the main determinant of the return of a portfolio. Rebalancing of
a portfolio from time to time to bring it back in line with the investor’s
target allocation is a commonly recommended technique. Regrettably retail
investor trading often greatly exceeds the degree of rebalancing in commonly
used approaches; see portfolio rebalancing
implementation: the nuts and bolts . Even worse, such trading often tends to be the
reverse of proper rebalancing. In other words, in proper rebalancing an
investor sells an asset class that has risen in value and reinvests in an
underperforming class, while most retail investor trading tends to be the
reverse, selling losers and buying winners.
Studies
of individual investor trading have tried to estimate the adverse impact of
excessive trading and other poor investor practices; Odean and Barber in 2011
doc.2209F, Meyer at al doc.2220; and Carpentier and Suret
doc.2225 in 2012
surveyed the recent literature. The estimates trading impact are all over the
map, and have been criticized; see RetailInvestor.org .
Non-USA market
studies
We begin with studies of 3 markets outside the USA:
·
Steffen Meyer and 6 others
from Goethe University carried out a review PDF doc.2220 of the recent literature
on returns of individual investors. They then present a study of trading by
German investors at an online German discount broker between 2005 and 2010. They
argue (p.3) that online investor are more sophisticated than the average
investor, and therefore expect any results to be slightly overstating the skill
of investors if there is any bias. They estimate that what they (charitably) call
insufficient skill results in an
adverse impact on gross returns and on returns
net of expenses and trading costs (which they estimate at 90 basis points per
year per investor on average- p.14). They state that the results are a clear case for passive
strategies (p.30):
-
Analyzing
gross returns, we found that about 89% of individual investors have negative
skill. This implies that 89% of investors underperform the market when pursuing
an active strategy – unless luck is on their side. The magnitude of the average
skill of all investors is also very large with about -7.5% per year. Taking
expenses and trading fees into account, the figures are even worse: 91% of
individual investors have negative skill which does not even suffice to cover
their expenses and trading fees. As expenses and trading fees amount to about
1% per year, the average skill of all individual investors amounts to -8.5% per
year. It can thus be concluded that the large majority of individual investors
do not have skill to outperform the market – and if they do, it is mere luck. p.
29
· In 2008 Bauer et al.
PDF doc.2211 compared option and equity trading
retail clients of a large Dutch discount broker. As an initial observation they
found that online investors trade 3X more than offline clients i.e. clients of
full-service brokers. They found that investors at the discount firm who traded
options had gross returns 1% per month less than the returns of equity-only
traders at the same firm, and the difference after costs increased to 2.75%.
They attribute the poor results of option trading first to poor market timing,
and the results are made worse by transaction costs.
· I In 2009 Odean, Barber and 2
Taiwanese academics PDF doc.2209B looked at the transaction data for trading on
the Taiwanese stock market by all investors between 1995 and 1999. Trading
commissions are typically around 0.14% to which is added a transaction tax of
0,3%.p.612. Total annual stock turnover on the exchange is around 300%, triple
that on the NYSE. P.613.Their simple conclusions are that Individual investors pay an exorbitant price for trading actively.
Individual investors could participate in financial markets at low cost by
following a simple buy-and-hold strategy.p. 628. They blame overconfidence and the desire to gamble account for much of the
active trading and substantial losses of individual investors in Taiwan.p.628.
H Here are
their more detailed observations:
Our empirical analysis presents a clear
portrait of who benefits from trade: individuals lose, institutions win.
P.610……Put differently, it is a 3.8 percentage point annual reduction in the
return on the aggregate portfolio of individual investors. These losses can be
broken down into four categories: trading losses (27%), commissions (32%),
transaction taxes (34%), and market-timing losses (7%). The trading and
market-timing losses of individual investors represent gains for institutional
investors. The institutional gains are eroded, but not eliminated by the
commissions and transaction taxes that they pay. P.611…. Stocks sold by
individuals outperform those bought.p.618,620… This observation is quite
consistent with models that assume
investors are overconfident and, as a result, trade too aggressively and to
their detriment. P.622.
USA
Strangely
enough the studies of individual US investors are less exact. Odean and Barber
are the most prolific US writers on this subject; see:
·
Trading is hazardous to your wealth 2000 doc.2209D
·
Why do investors trade so much 1999 doc.2209C and 2000 (DFA
sponsored) doc.2209H
·
Boys will be boys 2001 doc.2209A
·
Behavior of individual investors 2011 doc.2209F
·
Systemic Noise 2006 doc.2209E; and
·
Impact of attention and news on trading 2008 doc.2209G.
Odean
in 1999 doc.2209C found, based on a study of US discount broker clients between
1987 and 1993, that not only do the securities that these investors buy not
outperform not outperform the securities they sell by enough to cover trading
costs, but on average the securities they buy underperform the securities they
sell.
In 2000
Odean and Bartber
doc.2209D p.776, using similar data from 1991 to 1997, found
that it is the costs and frequency of trading alone that explain poor
investment performance compared to the market as a whole; the 2000 study looked
at the aggregate performance of all stocks held by the investors, not just
those traded- p.777.
In 2000
they also found that high trading investors at US discount brokerage firms
underperformed both low-trading investors and market indexes by 7.1% and 1.5%,
respectively; they attributed the underperformance, however, entirely to
transaction costs i.e. they found no difference in gross returns-p.774.
In a
2000 DFA sponsored text
doc.2209H they estimated at 5.5% the (negative)
difference in returns between active and low-trading US discount broker
clients.
In their 2008 study PDF
doc.2209B of the
Taiwan market they stated:
Less
comprehensive studies suggest that trading losses and costs for individual
investors in the United States are about 2 percentage points a year (Barber and
Odean, 2000, 2001). (U.S. individual investors trade
less actively, but run a higher risk of trading with better-informed
institutional investors.)
And in
a 2011 paper
doc.2209F p.4, 15 they state that transaction
costs are not the whole story. Individual investors also seem to lose money on
their trades before costs.
It is
clear that Odean and Barber consider trading to be detrimental. However, what
quantitative estimate of the impact of trading on gross returns of US investors
should be drawn from their studies as a whole is not entirely clear.
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