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0:06
This is the memo by
0:08
Howard Marks. On Bubble
0:10
Watch. Exactly 25 years
0:12
ago today, I published
0:14
the first memo that
0:16
brought a response from
0:19
readers, after having written
0:21
for almost 10 years,
0:24
without receiving any. The
0:26
memo was called Bubble.com.
0:29
and the subject was the
0:31
irrational behavior I thought was
0:33
taking place with respect to
0:36
tech, internet, and e-commerce stocks.
0:38
The memo had two things going for
0:40
it. It was right, and it was right
0:42
fast. One of the first great investment
0:45
allergies I learned in the
0:47
early 1970s is that being
0:49
too far ahead of your
0:51
time is indistinguishable from being wrong.
0:53
In this case, however, I wasn't too
0:55
far ahead. This milestone anniversary
0:57
gives me an occasion to write
1:00
again about Bubbles, a subject that's
1:02
very much of interest today. Some
1:04
of what I write here will be
1:06
familiar to anyone who read my December
1:09
memo about the macro picture. But
1:11
that memo only went to Oak
1:13
Tree clients. So I'm going to
1:15
recycle here the part of its
1:17
content that relates to the subject
1:19
of Bubbles. Since I'm a credit
1:21
investor, having stopped analyzing stocks
1:23
nearly five decades ago, and
1:25
since I've never ventured far
1:27
into the world of technology,
1:30
I'm certainly not going to say
1:32
much about today's hot companies and
1:35
their stocks. All of my
1:37
observations will be generalities, but
1:39
I'm hopeful they'll be
1:41
relevant nonetheless. In this
1:43
century's first decade, investors had
1:45
the opportunity to participate
1:48
in and lose money due to
1:50
two spectacular bubbles. The first was
1:52
the Tech Media Telecom. TMT
1:54
bubble of the late 90s
1:57
which began to burst in
1:59
mid-2000s. and the second, was
2:01
the housing bubble of the
2:03
mid-oughts, which gave rise to
2:05
A, extending mortgages to subprime
2:07
borrowers who couldn't or wouldn't
2:10
document income or assets, B,
2:12
the structuring of those loans
2:14
into levered tranched mortgage-backed securities,
2:16
and consequently, C, massive losses
2:18
for investors in those securities,
2:20
especially the financial institutions that
2:22
had created them and retained
2:24
some. As a result of
2:26
those experiences, many people these
2:28
days are on heightened alert
2:31
for bubbles. And I'm often
2:33
asked whether there's a bubble
2:35
surrounding the Standard and Poor's
2:37
500 and the handful of
2:39
stocks that have been leading
2:41
it. The seven top stocks
2:43
in the S&P 500, the
2:45
so-called Magnificence 7, are Apple,
2:47
Microsoft, Alphabet, Google's parent, Amazon.com,
2:49
Envideo, Meta, Meta, Onra, Facebook,
2:52
WhatsApp, WhatsApp, WhatsApp, WhatsApp, Meta,
2:54
Onra, Facebook, WhatsApp, Whatzapp, Whatzapp,
2:56
Whatzapp, Whatzapp, and Tesla. I'm
2:58
sure I don't have to
3:00
go into detail regarding the
3:02
performance of these stocks. Everyone's
3:04
aware of the phenomenon. Suffice
3:06
it to say that a
3:08
small number of stocks have
3:10
dominated the S&P 500 in
3:13
recent years and have been
3:15
responsible for a highly disproportionate
3:17
share of its gains. A
3:19
chart from Michael Semblist, chief
3:21
strategist at JP Morgan Asset
3:23
Management, shows that the market
3:25
capitalization. of the seven largest
3:27
components of the S&P 500
3:29
represented 32 to 33% of
3:31
the index's total capitalization at
3:34
the end of October. That
3:36
percentage is roughly double the
3:38
leader's share five years ago,
3:40
and prior to the emergence
3:42
of the Magnificence 7, the
3:44
highest share for the top
3:46
seven stocks in the last
3:48
28 years was roughly 22%
3:50
in 2000. At the height
3:52
of the TMT bubble. It's
3:55
also important to note that
3:57
at the end of November
4:00
US stocks rep presented over
4:02
70% of the MSCI World
4:04
Index, the highest percentage since
4:06
1970, according to another assemblist
4:08
chart. Thus, it's clear that
4:10
A, U.S. companies are worth
4:12
a lot compared to the
4:15
companies in other regions, and
4:17
B, the top seven U.S.
4:19
stocks are worth a heightened
4:21
amount relative to the rest
4:23
of U.S. stocks. But is
4:25
it a bubble? What is
4:28
a bubble? Investment
4:31
lingo comes and goes. My young
4:34
oak tree colleagues use a lot
4:36
of terms these days for which
4:38
I have to request translation. But
4:41
bubble and crash have been in
4:43
the financial lexicon for as long
4:46
as I've been in the investment
4:48
business and I imagine they'll remain
4:50
there for generations to come. Today
4:53
the mainstream media uses them broadly
4:55
and people seem to consider them
4:57
to be subject to objective definition.
5:00
But for me, a bubble or
5:02
crash... is more a state of
5:04
mind than a quantitative calculation. In
5:07
my view, a bubble not only
5:09
reflects a rapid rise in stock
5:12
prices, but it is a temporary
5:14
mania characterized by, or perhaps better
5:16
resulting from, the following. Highly irrational
5:19
exuberance to borrow a term from
5:21
former Federal Reserve Chair Alan Greenspan.
5:23
Outright adoration of the subject companies
5:26
or assets and a belief that
5:28
they can't miss. Massive fear of
5:30
being left behind if one fails
5:33
to participate, FOMO, and resulting conviction
5:35
that for these stocks, there's no
5:38
price too high. No price too
5:40
high stands out to me in
5:42
particular. When you can't imagine any
5:45
flaws in the argument and are
5:47
terrified that your office mate, golf
5:49
partner, brother-in-law, competitor, will own the
5:52
asset in question and you won't,
5:54
it's hard to conclude there's a
5:57
price at which you shouldn't buy.
6:00
as Charles Kindleberger and Robert
6:02
Alber observed in the fifth
6:04
edition of manias, panics, and
6:06
crashes, a history of financial
6:08
crises, there is nothing so
6:10
disturbing to one's well-being and
6:13
judgment as to see a friend get rich.
6:15
So to discern a bubble, you
6:17
can look at valuation parameters, but
6:19
I've long believed a psychological
6:22
diagnosis is more effective. Whenever
6:24
I hear, there's no price too high,
6:26
or one of its variance. A more
6:28
disciplined investor might say, of course
6:31
there's a price that's too high,
6:33
but we're not there yet. I consider
6:35
it a sure sign that a bubble is
6:37
brewing. Roughly 50 years ago, an
6:40
elder gave me the gift of one
6:42
of my favorite maxims. I've written
6:44
about it several times in my
6:46
memos, but in my opinion, I
6:48
can't do so often enough. It's
6:50
the three stages of the bull
6:52
market. The first stage usually
6:54
comes on the heels of a
6:57
market decline or crash that has
6:59
left most investors licking their wounds
7:02
and highly dispirited. At this point,
7:04
only a few unusually insightful
7:06
people are capable of imagining
7:08
that there could be improvement
7:10
ahead. In the second stage, the
7:12
economy, companies and markets are
7:15
doing well, and most people
7:17
accept that improvement is actually
7:19
taking place. In the third
7:21
stage, After a period in which
7:24
the economic news has been great,
7:26
companies have reported soaring earnings, and
7:28
stocks have appreciated wildly, everyone
7:31
concludes that things can only
7:33
get better forever. The important
7:35
inferences aren't with regard to
7:37
economic or corporate events.
7:40
They involve investor psychology.
7:42
It's not a matter of what's happening
7:44
in the macro world. It's how
7:46
people view the developments. When
7:48
few people think there can
7:50
be improvement, Security prices
7:52
by definition don't incorporate
7:54
much optimism. But when everyone believes
7:57
things can only get better forever,
7:59
it can... be hard to find
8:01
anything that's reasonably priced. Bubbles
8:03
are marked by bubble thinking.
8:05
Perhaps for working purposes we
8:07
should say that bubbles and
8:10
crashes are times when extreme
8:12
events cause people to lose
8:14
their objectivity and view the
8:16
world through highly skewed psychology.
8:18
Either too positive or too
8:20
negative. Here's how Kindleberger put
8:23
it in the first edition
8:25
of Manias, Panics, and Crashes.
8:27
As firms or households see
8:29
others making profits from speculative
8:31
purchases and resales, they tend
8:33
to follow. When the number
8:36
of firms and households indulging
8:38
in these practices grows larger,
8:40
bringing in segments of the
8:42
population that are normally aloof
8:44
from such ventures, speculation for
8:46
profit leads away from normal
8:49
rational behavior to what have
8:51
been described as manias or
8:53
bubbles. The word mania emphasizes
8:55
emphasizes the irrationality. Bubble foreshadows
8:57
the bursting. For me, it's
8:59
psychological extremeness that marks a
9:02
bubble. Often, as Kindleberger indicates,
9:04
it can be inferred from
9:06
widespread participation in the investment
9:08
fad of the moment, especially
9:10
among non-financial types. Legend has
9:12
it that J.P. Morgan knew
9:15
there was a problem when
9:17
the person shining his shoes
9:19
started giving him stock tips.
9:21
My partner John Frank says
9:23
he saw it in 2000,
9:25
when he heard the dads
9:27
at his son's soccer game
9:30
bragging about the tech stocks
9:32
they owned, and again in
9:34
2006, when a Las Vegas
9:36
cab driver told him about
9:38
the three condos he'd purchased.
9:40
When Mark Twain purportedly said,
9:43
history doesn't repeat itself, but
9:45
it often rhymes, it's this
9:47
kind of thing he was
9:49
talking about. The new, new
9:51
thing. If
9:54
bubble thinking is irrational, what
9:56
is it that permits investors
9:58
to get away from rational
10:00
thinking? Like the thrust of
10:02
a rocket ship that breaks
10:04
free of the limits imposed
10:06
by gravity and attains escape
10:08
velocity. There's a simple answer.
10:10
Newness. This phenomenon relies on
10:13
another time-honored investment phrase. This
10:15
time is different. Bubbles are
10:17
invariably associated with new developments.
10:19
There were bubbles in the
10:21
Nifty-50 stocks in the 1960s
10:23
in the 1960s. More on
10:25
them later. Disc drive companies
10:27
in the 1980s. TMT slash
10:29
internet stocks in the late
10:32
1990s, and subprime mortgage-backed securities
10:34
in 2004-06. These relatively recent
10:36
manias followed in the tradition
10:38
of ones like A, 1630s
10:40
craze in Holland, over recently
10:42
introduced tulips, and B. the
10:44
South Sea bubble in 1720
10:46
England concerning the riches that
10:48
were sure to ensue from
10:51
a trading monopoly that the
10:53
crown had awarded to the
10:55
South Sea Company. In normal
10:57
circumstances if an industry's or
10:59
a country's securities are attracting
11:01
unusually high valuations. Investment historians
11:03
are able to point out
11:05
that in the past those
11:07
stocks had never sold at
11:10
more than an X percent
11:12
premium over the average or
11:14
some similar metric. In this
11:16
way, attention to history can
11:18
serve as a tether, keeping
11:20
a favored group grounded on
11:22
terra firma. But if something's
11:24
new, meaning there is no
11:27
history, then there's nothing to
11:29
temper enthusiasm. After all, it's
11:31
owned by the brightest people,
11:33
the ones who are showing
11:35
up in the headlines, and
11:37
on TV, and they've made
11:39
a fortune. Who's willing to
11:41
throw a wet blanket over
11:43
that party or sit out
11:46
that dance? The explanation often
11:48
lies in Hans Christian Anderson's
11:50
story, The Emperor's New Clothes.
11:52
Khan men sell the Emperor,
11:54
an allegedly gorgeous suit of
11:56
clothes, that only intelligent people
11:58
can see. But in actuality,
12:00
there is no suit. When the
12:03
Emperor parades around town naked, the
12:05
citizens are afraid to say they
12:07
don't see a suit, since that would
12:09
mark them as unintelligent. This
12:11
goes on unchecked until a young boy
12:14
steps out of the crowd and, in
12:16
his naive tay, points out that the
12:18
Emperor has no clothes. Most people would
12:20
rather go along with a shared
12:23
delusion that's making investors buckets of
12:25
money than, say something to the
12:27
contrary and appear to be dummies.
12:30
When a whole market or a
12:32
group of securities is blasting
12:34
off and a specious idea
12:36
is making its adherence rich,
12:39
few people will risk calling
12:41
it out. My baptism under fire.
12:43
They say experience is what
12:45
you got when you didn't get
12:47
what you wanted, and I got
12:49
my most formative experience at
12:52
the very beginning of
12:54
my career. As many of my
12:56
memo readers know, I joined
12:58
the Equity Research Department at
13:00
First National Citibank, now Citi,
13:03
in September 1969. As was
13:05
the case with most of the
13:07
so-called Money Center banks, Citi
13:09
invested mainly in the
13:11
Nifty-50, stocks of the best and
13:13
fastest growing companies in
13:16
America. These companies were considered to
13:18
be so good that, A, nothing
13:20
bad could ever happen, and B,
13:22
there was no price too high for
13:24
their stocks. Literally. Literally.
13:27
Three factors contributed to
13:29
investors' fascination with these
13:31
stocks. First, the US economy grew
13:34
strongly in the post-World War II
13:36
period. Second, these companies
13:38
benefited from their involvement
13:40
with areas of innovation,
13:42
such as computers, drugs,
13:44
and consumer products. And
13:46
third, they represented the first
13:48
wave of growth stocks. A
13:51
new investment style that separately
13:53
became a fad in itself.
13:55
The nifty 50 were the object of
13:57
the first big bubble in roughly 40
13:59
years. And since there hadn't been
14:01
one for so long, investors
14:03
had forgotten what a bubble
14:06
looks like. As a result
14:08
of the popularity that was
14:10
conferred on them, if you
14:12
bought these stocks on the
14:14
day I started work and
14:16
held them tenaciously for five
14:18
years, you lost well over
14:20
90% of your money in
14:22
the best companies in America.
14:24
What happened? The Nifty-50 had
14:26
been put on a pedestal.
14:28
and investors get hurt when
14:30
something falls from it. The
14:32
stock market as a whole
14:34
declined by about half in
14:36
1973 to 74, and it
14:38
turned out these stocks had
14:40
been selling at prices that
14:42
actually were too high. In
14:44
many cases, their price to
14:46
earnings ratios fell from the
14:48
range of 60 to 90
14:50
to the range of 6
14:52
to 9. That's the easy
14:54
way to lose 90 percent.
14:56
Further, the bad things actually
14:58
did happen to several of
15:00
the companies in fundamental terms.
15:02
My early brush with a
15:04
genuine bubble caused me to
15:06
formulate some guiding principles that
15:08
carried me through the next
15:10
50-odd years. It's not what
15:12
you buy, it's what you
15:14
pay that counts. Good investing
15:17
doesn't come from buying good
15:19
things, but from buying things
15:21
well. There's no asset so
15:23
good that it can't become
15:25
overpriced and thus dangerous, and
15:27
there are few assets so
15:29
bad that they can't get
15:31
cheap enough to be a
15:33
bargain. Things can only get
15:35
better. The bubbles I've lived
15:37
through have all involved innovations,
15:39
as I noted previously, and
15:41
many of those were either
15:43
overestimated or not fully understood.
15:45
The attractions of a new
15:47
product or way of doing
15:49
business are usually obvious, but
15:51
the potholes and pitfalls are
15:53
often hidden and only discovered
15:55
in trying times. A new
15:57
company may completely outclass its
15:59
predecessors, but investors who by
16:01
definition lack experience. in this
16:03
new field often fail to
16:05
grasp that even a bright
16:07
newcomer can be supplanted. The
16:09
disruptors can be disrupted, whether
16:11
by skillful competitors or even
16:13
newer technologies. In my early
16:15
decades in business, technology seemed
16:17
to evolve gradually. Computers, drugs
16:19
and other innovative products improved
16:21
a little at a time,
16:23
but in the 1990s innovation
16:26
came in a big rush.
16:28
When Oak Tree was founded,
16:30
In 1995, I insisted that
16:32
I could get by with
16:34
just Word Perfect for Word
16:36
Processing and Lotus 123 for
16:38
spreadsheets. But when we moved
16:40
to our current office in
16:42
1998, I threw in the
16:44
towel and let our IT
16:46
team install email and the
16:48
internet. And of course Word
16:50
Perfect gave way to Word
16:52
and Lotus 123 to Excel.
16:54
At the time, investors were
16:56
sure the internet will change
16:58
the world. It certainly looked
17:00
that way, and that assumption
17:02
prompted tremendous demand for everything
17:04
internet related. E-commerce stocks went
17:06
public at seemingly high prices,
17:08
and then tripled the first
17:10
day. There was a real
17:12
gold rush. There's usually a
17:14
grain of truth that underlies
17:16
every mania and bubble. It
17:18
just gets taken too far.
17:20
It's clear that the internet
17:22
absolutely did change the world.
17:24
In fact, we can't imagine
17:26
a world without it. But
17:28
the vast majority of internet
17:30
and e-commerce companies that soared
17:32
in the late 90s bubble
17:34
ended up worthless. When a
17:37
bubble burst in my early
17:39
investing days, the Wall Street
17:41
Journal would run a box
17:43
on the front page listing
17:45
stocks that were down by
17:47
90%. In the aftermath of
17:49
the TMT bubble, they'd lost
17:51
99%. When something is on
17:53
the pedestal of popularity, the
17:55
risk of a decline is
17:57
high. When people assume and
17:59
price in and expectation that
18:01
things can only get better, the
18:03
damage done by negative surprises
18:06
is profound. When something
18:08
is new, the competitors
18:10
and disruptive technologies have yet
18:12
to arrive. The merits may be
18:14
there, but if it's overestimated, it
18:16
can be overpriced, only to
18:19
evaporate when reality sets in.
18:21
In the real world, trees don't grow
18:23
to the sky. The
18:25
foregoing discussion centered on
18:27
the risk of overestimating
18:29
fundamental strength, but optimism surrounding
18:32
the power and potential of the
18:34
new thing often causes the error to
18:36
be compounded through the assignment of too
18:38
high a stock price. As mentioned
18:41
previously, for something new
18:43
thereby definition is no
18:45
historical indicator of what
18:47
an appropriate valuation might be.
18:49
Further, the company's potential hasn't yet
18:51
been turned into steady state
18:53
profits. Meaning the thing that's
18:56
being valued is conjectural. In
18:58
the TMT bubble, the companies didn't
19:00
have earnings, so PE ratios were out.
19:02
And as startups, they often
19:04
didn't have revenues to value. As
19:07
a result, new metrics were
19:09
invented, and trusting investors ended
19:11
up paying a multiple of
19:13
clicks or eyeballs, regardless of
19:16
whether these measurables could be
19:18
turned into revenues and profits.
19:20
Since bubble participants can't
19:23
imagine there being any
19:25
downside, they tend to
19:27
award valuations that assume success.
19:29
In fact, it's not infrequent
19:32
for investors to treat all
19:34
contenders in a new field as likely
19:36
to succeed, whereas in reality,
19:39
only a few may thrive, or perhaps
19:41
even survive. Ultimately, with
19:43
a really hot new thing, investors
19:45
can adopt what I call
19:48
a lottery ticket mentality. If
19:50
a successful startup in a
19:52
hot field can return 200x,
19:54
it's mathematically worth investing in,
19:57
even if it's only 1% likely to
19:59
succeed. And what doesn't have a
20:01
1% likelihood of success? When investors
20:04
think this way, there are few
20:06
limits on what they'll support or
20:09
the prices they'll pay. Obviously investors
20:11
can get caught up in the
20:13
race to buy the new new
20:16
thing. That's where the bubble comes
20:18
in. What's the appropriate price to
20:21
pay for a bright future? If
20:23
there's a company for sale that
20:25
will make $1 million next year
20:28
and then shut down... How much
20:30
would you pay for it? The
20:32
right answer is a little less
20:35
than $1 million, so that you'll
20:37
have a positive return on your
20:40
money. But stocks are priced at
20:42
PE multiples, that is multiples of
20:44
next year's earnings. Why? Because presumably
20:47
they won't earn profits for just
20:49
one year, they'll go on making
20:52
money from any more. When you
20:54
buy a stock, you buy a
20:56
share of the company's earnings every
20:59
year into the future. The price
21:01
of the S&P 500 has averaged
21:04
roughly 16 times earnings in the
21:06
post-World War II period. This is
21:08
typically described as meaning you're paying
21:11
for 16 years of earnings. It's
21:13
actually more than that though because
21:16
the process of discounting makes $1
21:18
of profit in the future worth
21:20
less than $1 today. The current
21:23
value of a company is the
21:25
discounted present value of its future
21:27
earnings. A PE ratio of 16
21:30
means you're paying for more than
21:32
20 years of earnings, depending on
21:35
the interest rate at which future
21:37
earnings are discounted. In Bubbles, hot
21:39
stocks sell for considerably more than
21:42
16 times earnings. Remember the 60
21:44
to 90 times for the Nifty-50?
21:47
Investors in 1969 were paying for
21:49
companies earnings, even after giving them
21:51
credit for significant earnings, many decades
21:54
into the future. Did
21:56
they do so consciously and
21:58
analytically? Not that I... recall,
22:00
investors thought of a PE
22:03
ratio as just a number,
22:05
if they thought about it
22:07
at all. Today's S&P leading
22:09
companies are in many ways
22:12
much better than the best
22:14
companies of the past. They
22:16
enjoy massive technological advantages. They
22:18
have vast scale, dominant market
22:21
shares and thus above average
22:23
profit margins. And since their
22:25
products are based on ideas,
22:27
more than metal, the marginal
22:30
cost of producing an additional
22:32
unit is low, meaning their
22:34
marginal profitability is unusually high.
22:36
The further good news is
22:39
that today's leaders don't trade
22:41
at the PE ratio's investors
22:43
applied to the Nifty-50. Perhaps
22:45
the sexiest of the seven
22:48
is invidia, the leading designer
22:50
of chips for artificial intelligence.
22:52
Its current multiple of future
22:54
earnings is in the low
22:57
30s. depending on which earnings
22:59
estimate you believe, while double
23:01
the average post-war PE on
23:03
the S&P 500, that's cheap
23:06
compared to the nifty 50.
23:08
But what does a multiple
23:10
in the 30s imply? First,
23:12
that investors think invidia will
23:15
be in business for decades
23:17
to come. Second, that its
23:19
profits will grow throughout those
23:21
decades. And third, that it
23:24
won't be supplanted by competitors.
23:26
In other words, Investors are
23:28
assuming invidia will demonstrate persistence.
23:30
But, persistence isn't easily achieved,
23:32
especially in high-tech fields where
23:35
new technologies can arise and
23:37
new competitors can leapfrog incumbents.
23:39
It's worth noting, for example,
23:41
that only about half the
23:44
nifty-50, as enumerated by a
23:46
Wikipedia, there is no agreed-on
23:48
list, are in the S&P
23:50
500 today. That figure undoubtedly
23:53
looks worse than the reality,
23:55
since mergers and acquisitions caused
23:57
some of the old names
23:59
to... disappear, not failures. Leading
24:02
lights of 1969 that are
24:04
missing from the S&P 500
24:06
today include Xerox, Kodak,
24:09
Polaroid, Avon, Burrows,
24:11
digital equipment, and my
24:13
favorite, simplicity pattern. How
24:15
many people make their
24:17
own clothing these days? Another
24:19
indication of how hard
24:21
it is to persist can be
24:24
seen in the names of the
24:26
top 20 S&P 500 companies. At
24:28
the beginning of 2000, according to Finn Hacker.cZ, these
24:30
20 companies were the most heavily represented in the
24:32
index. Microsoft, General Electric, Cisco Systems,
24:34
Walmart, Exxon Mobil, Intel, Citigroup, Citigroup,
24:37
IBM, Oracle, Home Depot, Merck, Coca-Cola, Proctor and
24:39
Gamble, AIG, Johnson and Johnson, Qualcomm, Qualcomm,
24:41
Qualcomm, Johnson and Johnson and Qualcomm, Qualcomm,
24:43
Qualcomm, Qualcomm, Qualcomm and Qualcomm, Qualcomm,
24:45
Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm and
24:47
Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm,
24:50
Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm,
24:52
Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm,
24:54
Qualcomm, Qualcomm, Qualcomm, Qualcomm, Qualcomm,
24:57
Qualcomm, Qualcomm, Pfizer, AT&T,
24:59
Verizon. At the beginning
25:01
of 2024, however, only six of
25:03
them were still in the
25:05
top 20. Microsoft, Walmart,
25:08
Exxon Mobil, Johnson, Proctor
25:10
and Gamble, Home Depot.
25:13
Importantly, of today's
25:15
magnificent seven, only Microsoft
25:17
was in the top 20,
25:19
24 years ago. In Bubbles,
25:21
investors treat the leading
25:24
companies for their stocks.
25:26
as though the firms are sure
25:28
to remain leaders for decades. Some
25:30
do and some don't. A change seems
25:32
to be more the rule than
25:35
persistence. Whole Markets The greatest
25:37
bubbles usually originate
25:39
in connection with innovations,
25:42
mostly technological or financial,
25:44
and they initially affect
25:47
a small group of stocks.
25:49
But sometimes they extend to whole
25:51
markets as the fervor for
25:53
a bubble group spreads to
25:55
everything. In the 1990s, the S&P
25:58
500 was born. off by
26:00
A, the continuing decline of
26:02
interest rates from their inflation
26:04
fighting peak in the early
26:06
1980s, and B, the return
26:08
of investor enthusiasm for stocks
26:10
that had been lost in
26:12
the traumatic 70s. Technological innovation
26:14
and the rapid earnings growth
26:16
of the high-tech companies added
26:18
to the excitement. And an
26:20
upswing in the popularity of
26:22
stocks was reinforced by new
26:24
academic research. showing there had
26:27
never been a long period
26:29
in which the S&P 500
26:31
failed to outperform bonds, cash,
26:33
and inflation. The combination of
26:35
these positive factors caused the
26:37
annual return on the index
26:39
to average more than 20%
26:41
for the decade. I've never
26:43
seen another period like it.
26:45
I always say the riskiest
26:47
thing in the world is
26:49
the belief that there's no
26:51
risk. In a similar vein,
26:53
heated buying spurred by the
26:55
observation that stocks had never
26:57
performed poorly for a long
26:59
period caused stock prices to
27:01
rise to a point from
27:03
which they were destined to
27:05
do just that. In my
27:07
view, that's George Soros' investment
27:09
reflexivity at work. Stocks were
27:11
tarred in the bursting of
27:13
the TMT bubble. and the
27:15
S&P 500 declined in 2000,
27:17
2001, and 2002 for the
27:19
first three-year decline since 1939
27:21
during the Great Depression. As
27:23
a consequence of this poor
27:25
performance, investors deserted stocks en
27:27
masse, causing the S&P 500
27:29
to have a cumulative return
27:31
of zero for the more
27:33
than 11 years from the
27:35
bubble peak in mid-2000 until
27:37
December 2011. Lately, I've been
27:39
repeating a quote I attribute
27:41
to Warren Buffett. When investors
27:43
forget that corporate profits grow
27:45
about 7% per year, they
27:47
tend to get into trouble.
27:49
What this means is that
27:51
if corporate profits grow at
27:53
7% a year and stocks,
27:55
which represent a share, and
27:57
corporate profits appreciate at 20%
27:59
a year for a while,
28:01
eventually stocks will be so
28:03
highly priced relative to their
28:05
earnings that they'll be risky.
28:07
I recently asked Warren for
28:09
a source on the quote
28:11
and he told me he
28:13
never said it. But I
28:15
think it's great, so I
28:17
keep using it. The point
28:19
is that when stocks rise
28:21
too fast, out of proportion
28:23
to the growth in the
28:25
underlying company's earnings, they're unlikely
28:27
to keep on appreciating. Michael
28:29
Semblist has another chart that
28:31
makes this point. It shows
28:33
that prior to two years
28:35
ago, there were only four
28:37
times in the history of
28:40
the S&P 500 when it
28:42
returned 20% or more for
28:44
two years in a row.
28:46
In three of those four
28:48
instances, a small sample, mind
28:50
you, the index declined in
28:52
the subsequent two-year period. The
28:54
exception was 1995 to 98.
28:56
when the powerful TMT bubble
28:58
caused the decline to be
29:00
delayed until 2000. But then
29:02
the index lost almost 40%
29:04
in three years. In the
29:06
last two years it's happened
29:08
for the fifth time. The
29:10
S&P 500 was up 26%
29:12
in 2023 and 25% in
29:14
2024 for the best two-year
29:16
stretch since 1997 to 1998.
29:18
That brings us to 2025.
29:20
What lies ahead? The cautionary
29:22
signs today include these, the
29:24
optimism that has prevailed in
29:26
the markets since late 2022,
29:28
the above average valuation on
29:30
the S&P 500, and the
29:32
fact that its stocks in
29:34
most industrial groups sell at
29:36
higher multiples than stocks in
29:38
those industries in the rest
29:40
of the world. The enthusiasm
29:42
that is being applied to
29:44
the new thing of AI,
29:46
and perhaps the extension of
29:48
that positive psychology to other
29:50
high-tech areas. the implicit presumption
29:52
that the top seven companies
29:54
will continue to be successful
29:56
and the possibility that some
29:58
of the appreciation of the
30:00
S&P has stemmed from automated
30:02
buying of these stocks by
30:04
index investors without regard for
30:06
their intrinsic value. Finally,
30:08
while I'm at it, although it's
30:11
not directly related to stocks,
30:13
I have to mention Bitcoin.
30:15
Regardless of its merit, the
30:17
fact that its price rose 465%
30:19
in the last two years doesn't
30:21
suggest an overabundance of
30:24
caution. I often find that just
30:26
as I'm about to release a
30:28
memo for publication, Something
30:30
comes along that demands
30:32
inclusion, and it has happened
30:35
again. On the last day
30:37
of 2024, I received something
30:39
from two sources that fits
30:41
that description. The graph
30:43
from JP Morgan Asset
30:46
Management has a square for
30:48
each month from 1988 through
30:50
late 2024, meaning there are
30:52
just short of 324 monthly
30:55
observations, 27 years
30:57
times 12. Each square shows
30:59
the forward PE ratio on the
31:01
S&P 500 at the time and
31:03
the annualized return over the
31:05
subsequent 10 years. The graph
31:08
gives rise to some
31:10
important observations. There's a strong
31:12
relationship between starting
31:14
valuations and subsequent
31:17
annualized tenure returns.
31:19
Higher starting valuations consistently
31:21
lead to lower returns
31:24
and vice versa. There are
31:26
minor variations in the
31:28
observations, but no serious
31:31
exceptions. Today's PE ratio
31:33
is clearly well into the
31:35
top decile of observations. In
31:38
that 27-year period, when
31:40
people bought the S&P
31:42
at price-to-earnings ratios in
31:44
line with today's multiple
31:47
of 22, they always earned
31:49
10-year returns between plus 2%
31:52
and minus 2%. In November a
31:54
couple of leading banks came out with
31:56
projected 10-year returns for the S&P 500
31:58
in the low to mid-single digits.
32:00
The just-mentioned relationship is the
32:03
reason. It shouldn't come as
32:05
a surprise that the return
32:07
on an investment is significantly
32:09
a function of the price
32:11
paid for it. For that
32:13
reason, investors clearly shouldn't be
32:15
indifferent to today's market valuation.
32:17
You might say making plus
32:19
or minus 2% wouldn't be
32:21
the worst thing in the
32:23
world, and that's certainly true
32:25
if stocks were to sit
32:27
still for the next 10
32:29
years as the company's earnings
32:31
rose. bringing the multiples back
32:33
to earth. But another possibility
32:35
is that the multiple correction
32:37
is compressed into a year
32:39
or two, implying a big
32:41
decline in stock prices such
32:43
as we saw in 1973
32:45
to 74 and 2002. The
32:47
result in that case wouldn't
32:49
be benign. These are the
32:51
things to worry about. Here
32:53
are the counter arguments. A
32:56
PE ratio on the S&P
32:58
500 is high, but not
33:00
insane. The magnificent seven are
33:02
incredible companies, so their high
33:04
PE ratios could be warranted.
33:07
I don't hear people saying
33:09
there's no price too high,
33:11
and the markets, while high
33:13
priced and perhaps frothy, don't
33:16
seem nutty to me. As
33:18
I said at the start
33:20
of this memo, I'm not
33:22
an equity investor, and I'm
33:24
certainly no expert on technology.
33:27
Thus, I can't speak authoritatively
33:29
about whether we're in a
33:31
bubble. I just want to
33:33
lay out the facts as
33:35
I see them and suggest
33:38
how you might think about
33:40
them. Just as I did
33:42
25 years ago. I hope
33:44
you'll keep listening for the
33:47
next 25. January 7th 2025.
33:49
Thank you for listening to
33:51
the memo by Howard Marks.
33:53
To hear more episodes be
33:55
sure to subscribe wherever you
33:58
listen to podcasts. This
34:04
podcast expresses the views of the author
34:06
as of the date indicated and such
34:08
views are subject to change without notice.
34:11
Oak Tree has no duty or obligation
34:13
to update the information contained herein. Further,
34:15
Oak Tree makes no representation and
34:17
it should not be assumed that
34:19
past investment performance is an indication
34:21
of future results. Moreover, wherever there
34:23
is a potential for profit, there is
34:25
also the possibility of loss. This podcast
34:27
is being made available for educational purposes
34:30
only and should not be used for
34:32
any other purpose. The information contained
34:34
here in does not constitute and should
34:36
not be construed as an offering of
34:39
advisory services, or an offer to sell
34:41
or solicitation to buy any securities or
34:43
related financial instruments in any jurisdiction. Certain
34:46
information contained herein concerning economic
34:48
trends and performances based on
34:50
or derived from information provided
34:53
by independent third-party sources. Oak
34:55
Tree Capital Management LP, Oak Tree, believes
34:57
that the sources from which such information
34:59
has been obtained are reliable. However,
35:01
it cannot guarantee the accuracy
35:04
of such information and has
35:06
not independently verified the accuracy
35:08
or completeness of such information
35:10
or the assumptions on which such
35:13
information is based. This podcast,
35:15
including the information contained herein,
35:17
may not be copied, reproduced,
35:19
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35:21
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35:23
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35:25
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