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Money Stuff
Matt Levine is a Bloomberg Opinion
columnist covering finance. He was an editor of Dealbreaker, an
investment banker at Goldman Sachs, a mergers and acquisitions
lawyer at Wachtell, Lipton, Rosen & Katz, and a clerk for the
U.S. Court of Appeals for the 3rd Circuit.
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Good Investors Make Investing Harder
♦ ♦ ♦
By
Matt Levine
July 3, 2019, 12:02 PM EDT
Active management
A
basic stylized fact
of financial markets is that active investment managers, as a group,
do not outperform
a monkey throwing darts at the stock tables.
This is an embarrassing stylized fact, but you cannot, if you are an
active manager, feel too bad about it. The monkey is cheating. He is
free-riding on your work. The reason his investments are good is that
he is buying stocks of companies that have already been vetted by
active investors, and at prices that represent the active investors’
consensus about their value. The monkey is not doing any deep
fundamental analysis of the cash flows and business prospects of the
companies whose stocks he buys, because you have already done it for
him, and you have told him what those stocks are worth. He just has to
throw darts. If his dart lands on a good company, he will invest in a
good company at a fair price. If his dart lands on a bad company, the
price of the stock will reflect the risks and badness of the company,
and will still, in expectation, give him a fair return. If you and
your active-management competitors have done a good job, the monkey
can’t lose.
Of course,
if you’ve done a really good job, you can’t lose either. But you also
can’t win: All the stocks will be fairly priced, and your business—of
buying stocks at prices below their intrinsic value—will be
impossible. You and the monkey and everyone else will just get the
overall market return; your fundamental research can’t add any more
value than the monkey’s darts. This is called
the Grossman-Stiglitz paradox.
(The paradox is that, if this is really true, then you won’t do the
good work of making the prices right, which means they will be wrong,
which means that the markets won’t be efficient, which means that you
can in fact outperform the monkey, which means that you will do the
good work of making the prices right, which means that you won’t
outperform the monkey, etc.)
The monkey will work cheaper than you
will: You probably want some analysts and a Bloomberg Terminal and a
research budget and a big salary, while the monkey needs only some
bananas and a box of darts. In fact in our modern age it is easy
to dispense with the darts, and the monkey: An index fund can just buy
all the stocks, or some large representative sample of them, without
doing any fundamental analysis or anything else, just relying on the
good hard work of the fundamental active managers to make sure that
the prices are right. The index fund will be cheap. The active
managers will be expensive. Their gross-of-fee returns, in
expectation, will be the same. The people who pay the active managers’
fees will effectively subsidize the people who only pay for index
funds: Everyone will benefit from the work of making prices right, but
only the active investors will pay for it.
Here’s a
paper from Robert Stambaugh of Wharton, titled “Skill
and Fees in Active Management”:
Greater
skill of active investment managers can mean less fee revenue in a
general equilibrium. Although more-skilled managers earn more
revenue than less-skilled managers, greater skill for active
managers overall can imply less revenue for their industry.
Greater skill allows managers to identify mispriced securities
more accurately and thereby make better portfolio choices. Greater
skill also means, however, that active management corrects prices
better and thus reduces managers’ return opportunities. The latter
effect can outweigh managers’ better portfolio choices in
equilibrium. Investors then rationally allocate less to active
funds and more to index funds if active management is more
skilled. |
Then there is some math, but the basic
idea is extremely intuitive. The better the active managers are as a
group, the fewer mispricing opportunities there will be, and so the
harder it will be for them to outperform indexes. The harder it is,
the better the active managers will have to be: The bad ones will
quit, and the good ones will invest in alternative data and
machine-learning strategies and whatever else they can find to get
better at their jobs. This will make it even harder to outperform
indexes, etc. Investors will observe all this, and as the active
managers make the indexes more efficient—as they make the monkeys’
jobs easier—the investors will allocate more to the indexes.
This all feels extremely straightforward
and almost obvious, but it is worth thinking about how this
fundamental math translates into the subjective experience of active
managers. That experience might look like:
1. You’re
good at finding mispriced stocks and are richly rewarded for it.
2. Through
your good work and the work of your peers, prices get more efficient
and it gets harder to find mispriced stocks.
3. At
the same time you are gaining in experience and cleverness and
technology and scale and so forth, so you get better at it, and
continue to be richly rewarded.
4. But
you grumble a bit because you have to work harder for the same
results.
5. Eventually
the curves cross: The benefits to you of increasing experience and
scale and so forth taper off, while the market keeps getting more
efficient, and you get left behind.
6. You
get mad at the market for not yielding its secrets to you anymore.
And in fact
you can find many examples of exactly this, long-time successful
active managers getting cranky because their techniques don’t work
anymore. We
talked in January
about
one such article:
“Financial markets have significantly evolved over the past
decade, driven by new technologies, and the market itself is
becoming more difficult to anticipate as traditional participants
are imperceptibly replaced by computerised models.” …
There
has been recently a flurry of finger-pointing by humbled one-time
masters of the universe, who argue that the swelling influence of
computer-powered “quantitative”, or quant, investors and
high-frequency traders is wreaking havoc on markets and rendering
obsolete old-fashioned analysis and common sense. ...
“These
‘algos’ have taken all the rhythm out of the market, and have
become extremely confusing to me,” Stanley Druckenmiller, a famed
investor and hedge fund manager, recently told an industry TV
station. |
I think that pretty much all of those
words mean “the markets have gotten more efficient so it’s harder for
me to make money by finding obvious mispricings,” but none of them say
that; they all sound like complaints about bad crazy algos rather than
good efficiency. The sad fact of life for active managers is that they
devote their careers to making markets more efficient, but if they
succeed too well then they put themselves out of work.
♦ ♦ ♦
This column does not
necessarily reflect the opinion of the editorial board or Bloomberg LP
and its owners.
To contact the author of
this story:
Matt Levine at
mlevine51@bloomberg.net
To contact the editor
responsible for this story:
James Greiff at
jgreiff@bloomberg.net
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