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0:00
So in 2022, we saw the rise,
0:02
I think, or the comeback, I should say of trend
0:04
strategies. So these are strategies that,
0:06
you know, basically make money when there is
0:08
a clear breakout in
0:10
prices. And when does that happen?
0:12
Well, when there is a lot of macro volatility, you
0:14
would expect that there are more convex
0:17
reactions in prices and therefore trend strategies
0:19
can actually benefit from this
0:22
a bit. And you can see that trend strategies tend to do pretty
0:24
well during inflationary bouts
0:26
exactly for this reason, because you need to restructure
0:28
the way you think about interest rates and equity sectors
0:31
and commodity prices. And so you have a lot
0:33
of trends developing and you can benefit
0:35
from an allocation to trend.
1:46
All right, welcome to another episode
1:48
of Resolve Riffs where we have today one of our most
1:50
popular guests that we have on a regular basis.
1:53
Alfonso Peccatiello is
1:55
joining us today, otherwise known as
1:57
at MacroAlf on Twitter and
2:00
is the publisher of the Macro Compass.
2:03
Alfonso, welcome back to Resolve Riffs
2:05
and it's great to have you joining us
2:07
today.
2:08
One of my favorite shows, regular listener.
2:10
So always a pleasure to be here.
2:12
Love it. You have been a busy beaver
2:14
as they say in Canada. I know you've
2:16
got a fund you're working on that looks
2:18
like it might be an idea that might be coming to fruition
2:21
in Q4 and you have
2:23
been continually writing, as
2:25
eloquently as you do and as, I think
2:27
you have such great explanatory power
2:29
in your narratives and things like that. So
2:32
let's jump in and talk
2:34
about You know, how did we get here?
2:36
The fiat system and the end
2:38
game, you released a video just today, actually,
2:40
which I thought was a wonderful
2:42
way to sort of set the table of
2:45
what we've been going through over the last 50 years,
2:48
you know, contextually, maybe in a broader sense of
2:50
how fiat currencies have come about, how they've
2:52
developed and you coined a phrase, the wealth
2:54
illusion paradigm. Which
2:56
I thought was a really, really
2:58
interesting concept. So why don't we start there,
3:01
talk through that recent piece you had, and then we'll
3:03
continue through the, through the rest of the show and we'll get
3:05
to, the fund you're working on and how it's going
3:07
to position itself within that
3:10
framework and how asset prices might respond
3:12
and all that stuff.
3:13
All right, let's do that. So the
3:15
piece was called the macro end game, because
3:18
I think, you know, macro investors
3:20
in general, investors, we're always
3:23
inundated with daily news and noise
3:25
and data, and now that
3:27
the market is pretty boring, we can maybe
3:29
take a step back, right? We take a step
3:31
back and we can look at. The
3:34
big picture, answering the million dollar question,
3:36
you know, what is the macro end game?
3:38
Because I think it feels a bit unsustainable
3:40
for many looking at the ways
3:42
we have structured our financial system. When
3:45
you look at wealth inequality, when you look at asset prices,
3:47
it often gives you that feeling that
3:50
it's not really a very sustainable
3:52
equilibrium. Right. It's a bit what
3:54
Minsky would say, artificial
3:56
stability breeds instability
3:58
in the system. That's how many people feel about
4:00
it. That's why maybe they want to have some gold
4:03
or for, you know, more, digital age
4:05
oriented people, maybe Bitcoin. that's
4:07
the feeling I think. Right. And I wanted to
4:09
try and explain how did we get here? Why do you
4:11
have this feeling and whether this system
4:13
can actually be resistant
4:16
or whether it actually breaks?
4:18
And if it breaks, what's the macro end game? That
4:20
was the idea behind the piece. And
4:23
so it all starts, in 1971,
4:26
when Nixon ends the,
4:28
gold pack, right? It basically, collapses
4:31
the gold standard. And what he does back
4:33
then is it basically ends the convertibility
4:35
of gold into dollar
4:37
at the fixed. exchange
4:39
rate. And what happens
4:42
back then is basically that all banks
4:44
and governments in the world that
4:46
were creating new money, and
4:48
I will explain in a second what I mean with that. They
4:52
were also creating new money before 1971,
4:54
but there was a clear limit, a hard
4:56
peg to this because you would create dollars
4:59
out of thin air like a government or a bank does.
5:01
But then there will be a fixed price at which you could
5:04
convert these dollars back into gold. And so you
5:06
had to be careful with the amount of fiat
5:08
money you would create, right? There was a balancing
5:10
mechanism in other words. And
5:12
after 1971, that's not the case anymore.
5:15
So in our system, it's not central banks that
5:17
create inflationary money. And that comes as a
5:19
news for many, but it's government via fiscal
5:21
deficits and banks via lending
5:24
that create the inflationary form of money. We can
5:26
actually spend and how it works. It's pretty
5:28
simple. The government is the issuer
5:31
of the currency. So the United States government
5:33
issues dollars, they control issuance
5:35
of the dollar and what
5:37
they do when they do fiscal deficits is
5:39
they decide to basically, let's
5:42
say, blow a hole in their balance
5:44
sheet. So reduce their net worth around
5:46
deficits and inject this
5:48
net worth into the private sector. So in
5:50
2020. You could open your mailbox
5:52
and find a 5, 000 check from the United
5:55
States that had become basically
5:57
the issuer of this 5, 000
5:59
for you. And you became richer
6:01
because you could cash in 5 thousand dollars at
6:03
J.P., Morgan and have this spendable
6:05
money now all of a sudden to spend without
6:08
having a liability attached to it. You didn't have any
6:10
debt, any mortgage, any loan. Nothing.
6:12
So your net worth went up because the United
6:14
States government decided that its net worth
6:17
had to go down. So it's a simple balancing
6:19
mechanism where the government decides
6:21
to blow a hole in their balance sheet, issue new spendable
6:24
dollars, and you as the private sector will be the beneficiary
6:27
of it. And the second way is bank
6:29
lending, where you want to buy a house of a
6:31
million dollars. You don't have a million dollar cash
6:33
in your bank account, but what you have is a
6:35
job. Or a business. So you will
6:37
produce cash flows over time. And therefore a
6:39
bank can look at your future purchasing
6:41
power and give you credit against
6:44
that now. So basically credit
6:46
your bank account by a million
6:48
dollar money you didn't have before. And
6:51
now you can go and buy a house with
6:53
the newly created million dollar from the bank,
6:56
right? And the seller of the house will now
6:58
have a new bank deposit of
7:00
a million dollar who he didn't have before.
7:02
So the creation of credit. Basically
7:05
allows the balance sheets to grow and
7:07
it injects money into the system,
7:09
although it comes with debt as well, because
7:12
you have a million dollar, but you also have a mortgage
7:14
of a million dollar now. So that's a bit
7:16
the difference, but it still allows you to spend
7:18
more all of a sudden to have more inflationary
7:21
spending power than before. And after
7:23
1971, both the banks
7:26
and the governments were more free
7:28
to actually create new fiat money
7:30
without having to convert. Or
7:32
check the convertibility of this new,
7:34
of the quantity of the fiat money versus a dollar
7:37
because the gold peg was basically. Gone.
7:40
And when you look at this, you say,
7:43
okay, cool. But the fact that they can,
7:45
doesn't mean they will create a bunch
7:47
of new fiat out of nowhere.
7:50
And this is true because if you think about
7:52
why would government run
7:54
a lot of deficits or the private sector
7:56
demand a lot of credit from banks,
7:59
you would do this if the organic
8:02
growth in the private sector, if the structural
8:05
growth of the private sector. So
8:07
if you see your structural ability to generate
8:09
growth going down, what
8:11
you will be doing is look for an offset. And
8:14
that offset is credit, deficits,
8:17
more money being created to offset
8:19
your inability to create
8:21
strong structural growth. And that
8:23
inability started to surface in
8:26
the 80s. Because the inability,
8:28
and I can share the screen here
8:30
to show what are the drivers of
8:32
long term economic growth, And
8:35
they're pretty intuitive. One
8:37
of the re the ways that
8:39
you can create organic growth in an economy is
8:41
through demographics. Pretty simple.
8:44
If you have more people working productively,
8:46
then your structural GDP growth
8:48
will be higher. So
8:51
one of the ways to create strong organic
8:54
GDP growth is through demographics.
8:56
So pretty simple. If the amount
8:59
of working age population as a percentage
9:01
of total increases, so you have
9:03
more people actually contributing to
9:05
your working, to your labor force, then
9:07
you can have more. Structural growth.
9:09
Vice versa, if your working age population
9:11
shrinks, then you will have less people contributing
9:14
to active economic growth, and your organic growth
9:16
will also shrink. And as you can see from this chart,
9:18
whether you take the United States or even Japan
9:20
or Germany or Italy, up until
9:22
the 80s, the amount of working
9:25
age population was increasing. So
9:27
you add basically a demographics boom
9:29
in the post second world war era that
9:32
led 20 years later, because to make
9:34
a new worker, you actually need 20 years,
9:36
right? They need to be eligible to work. in
9:38
the eighties, you had the peak of this working
9:40
age population growth as percentage of total. So you
9:42
had. happen. So All countries basically ranging
9:44
between 65 and 70 percent of working
9:46
age population as percentage of total.
9:49
But in the eighties, we peaked, basically
9:51
demographics peaked. They remained healthy
9:53
between the eighties and 2000, but the marginal
9:56
growth, the marginal benefit from better
9:58
demographics had exhausted. And if you
10:00
look at the next 10 to 20 years, of course,
10:02
this projection, these projections look blicker
10:04
and blicker. So in the eighties, you had demographics
10:07
peaking, and you also had. The
10:09
second factor that stands behind,
10:11
structural growth, you had productivity also
10:14
peaking because at the end
10:16
of the day, you can have better demographics,
10:18
but if those workers aren't productive
10:21
and if the use of capital isn't productive
10:23
in the economy, you're still going to struggle. Now,
10:26
the good news is, as you can see from this chart,
10:28
that if you look at the decades, like the fifties,
10:30
the sixties and the seventies, and all the ways until the
10:32
eighties, Productivity growth on
10:34
a 10 year rolling basis was increasing.
10:37
So you were becoming. more
10:39
productive year after year,
10:41
and the marginal rate of productivity was
10:43
also increasing. But once you reach
10:45
the eighties and the nineties, this productivity
10:47
growth was still there, but it started
10:49
to decline on a second derivative basis. So
10:52
you were still more productive, but the productivity
10:54
growth benefits were mostly exhausted.
10:57
And so what happened basically is that
10:59
by the eighties and the nineties, you were
11:01
in a situation where the
11:04
gold peg was gone. You could create new
11:06
money. without having a hard pack
11:08
to gold and your structural
11:11
growth forces. Driven by
11:13
demographics and productivity were declining.
11:15
And so politicians had to basically
11:18
find an offset, a way
11:20
to offset this dwindling
11:22
structural growth to make GDP
11:25
growth socially acceptable again.
11:27
And how would, how were they going to eat their
11:30
3 percent real GDP target
11:32
each year? Well, with the use of
11:34
leverage. And therefore they
11:36
said, you know what, we are going to start doing
11:38
it and we're going to lever up the system because we don't
11:40
have a hard peg anymore and
11:42
we can create as much fiat money as we want.
11:44
And so you go into a situation, as
11:47
you can see here, where whatever
11:49
country you actually put, you can use the
11:51
US or Europe or Japan
11:53
or China, as you can see in this chart, as
11:56
long as you look. At the total
11:58
leverage in the system. So you look at the private
12:01
sector, as we said, bank lending,
12:03
private credit, and
12:05
the public sector combined. If
12:07
you look at the use of leverage you can make throughout
12:09
the economy, all biggest economies
12:12
in the world went through the same process between
12:14
the eighties and 2020. They
12:17
all levered up their economies from about
12:19
a hundred, 150% of GDP,
12:21
all the way to 300, or in Japan
12:23
case, even 400% of GDP.
12:26
Yeah.
12:27
right. Wow.
12:29
So that's public and private data as a percentage
12:31
of GDP that you've got on this and you can just
12:33
see, in particular what's striking is that,
12:35
that run in China from, you know,
12:37
sort of post 2008, 100 and
12:41
whatever, 20 percent to 300, just sort
12:43
of catching up to the rest of the developed nations
12:45
in the world, truly, truly
12:47
staggering.
12:48
Yeah, it's quite impressive. I mean, China caught up to
12:50
the game. They had demographics,
12:53
tailwinds a bit later than the others.
12:56
so they, they lasted a little bit longer. They
12:58
had a big productivity boom by joining
13:00
the WTO so they could gain
13:02
share on the global manufacturing
13:04
market and the global trade market. They became
13:07
more productive. But all these exhausted
13:09
for them, let's say 10 to 15 years later
13:11
than it did for the others. So somewhere around
13:13
2005, 2010, they actually
13:15
had to lever up and they did. So very,
13:17
did they ever,
13:19
they, they went ballistic, you know, in basically
13:21
15 years, they covered the ground for three
13:23
decades when it comes to leverage. And
13:25
so basically you went to a situation
13:28
where. Politicians had found the fix.
13:30
The fix was, well, if demographics are coming down
13:32
and if productivity is coming down, we're going to do leverage
13:34
and everybody's going to be fine. Now, one
13:36
issue with leverage is that it makes
13:38
a system, of course, a bit more fragile and
13:41
also to be used as a recurring system, more
13:43
leverage and more leverage and more leverage, you
13:46
need to make sure that the next
13:48
guy who's levering, the next generation who's
13:50
levering is able to do so
13:52
at a marginally cheaper interest rate.
13:55
So if you lever up the system more, more
13:57
and more. And your salaries
13:59
aren't increasing in real terms and your
14:02
structural growth is not that strong. The
14:04
only way to sustain, to
14:06
basically have a servicing,
14:09
ability for this high level of leverage is
14:11
to make servicing costs pretty low, is to make
14:13
interest rates as low as possible. And
14:16
so you went into a situation where the
14:18
system got more leverage, often unproductive
14:20
to be frank. So this leverage went into real
14:22
estate and asset prices. It wasn't really
14:25
used to. generate innovation
14:27
and structural growth. So you had
14:29
this system, these lowered economic activity
14:31
as the entire economy was basically burdened
14:33
by that. And so central banks decided
14:35
to stimulate economic growth and make the system more
14:37
sustainable by lowering interest rates.
14:40
This was the trick to continue
14:42
levering up the system. Without having
14:45
effectively the leveraging episode like we
14:47
had, for example, in Japan, a system which
14:49
was highly leveraged to the real estate market in the eighties.
14:51
And when the bank of Japan, Japan raised rates,
14:53
you then had a deleveraging episode who lost it for
14:56
decades. So the West didn't want that.
14:58
And they said, well, you know what? We're going to cut rates
15:01
and accommodate this process as we speak.
15:04
And that's what we did.
15:05
Yeah. And so that
15:07
it obviously, well, it's
15:09
unlikely that that can go on forever.
15:12
but maybe also walk through the steps
15:14
of the wealth illusion effect
15:16
that you talk about and how that continues
15:19
to go through maybe the stepwise example
15:21
that you used in the house purchase and to
15:24
let people sort of get their minds wrapped around that.
15:26
Yeah, correct. So one chart
15:28
before we walk through the example to visualize
15:30
what I just said. If you look at the U.
15:32
S. and you look at government and private
15:34
sector debt as percentage of GDP, which is
15:37
in blue on this axis inverted. So
15:39
the lower you go, the more private
15:41
and public sector debt in the U. S. right. We
15:43
were at 180 percent in 1998
15:46
in the U. S. Real interest
15:49
rates in orange. On the right hand
15:51
side, were at about 4%.
15:53
So with the US running 180%
15:56
of private and public sector data, percentage
15:58
of GDP, we could run in the US
16:00
with about three and a half to 4% real
16:02
interest rates. Okay, let now, as
16:04
the US became more and more leveraged and
16:07
more and more leveraged, let's say all the way until
16:09
today with the US running 250%.
16:12
of private and public sector, that
16:15
as percentage of GDP, real yields have been
16:17
for the last decade, somewhere around 1%,
16:19
roughly 50 basis points to 1%. Now
16:22
the Federal Reserve has hiked interest rates much further
16:24
in this specific economic cycle, which
16:26
makes the system Arguably a bit
16:28
fragile, right? Because what you're having is
16:31
a decent level of leverage in the system
16:34
with real interest rates that are higher
16:36
than what the equilibrium of the last 30 years
16:38
between these two variables would suggest. But
16:41
real, really, the other effect of
16:43
doing this is boosting house
16:45
prices or asset prices in general. So
16:48
I'm now sharing part of the article I wrote
16:50
just to make people visualize as well
16:53
the figures that I'm using. If
16:55
you bought a house in the US, let's say in the early nineties,
16:58
right? let's assume for a second
17:00
that the bank would have lent you a hundred percent
17:02
of the purchase value. That's not standard, but please
17:04
bear with me just for the sake of the assumption.
17:06
Okay. So let's say, In
17:08
the nineties, you wanted to spend 1, 000
17:11
a month in mortgage installments. Okay.
17:13
And let's say that in the nineties, the actual
17:15
third year mortgage rate back then was about
17:18
10%. Okay. So you had to pay
17:20
a 10 percent nominal mortgage rate for 30
17:22
years. And with a 1, 000
17:25
mortgage installment budget per month,
17:27
that meant at these interest rates
17:29
that you could buy a house worth about 120,
17:32
000 a month. dollars back
17:34
in the nineties. Okay. Now let's
17:36
bring this back 30 years for, forward. Okay. And
17:38
let's go specifically to 2021.
17:40
I just want to show you the peak euphoria
17:43
of this, wealth illusion paradigm, as I
17:45
call it. Let's say that you are
17:47
in 2021 and you still want to spend a
17:49
thousand dollars a month in mortgage
17:51
installments. That's your budget. But your
17:53
30 year mortgage is now 3%. So
17:56
you do your cocks and all of a sudden you can afford
17:58
a house worth 240,
18:00
000. This is double
18:02
the price in the nineties. So effectively
18:05
by lowering nominal interest
18:07
rates over time, you have
18:10
allowed another generation to
18:12
lever up more and more and more.
18:14
Specifically to double the amount
18:17
of the 90s and be able to afford the
18:19
same price. And so what you have achieved is
18:21
a continuous use of leverage
18:23
and injection of leverage into the economy, which
18:25
makes not only the new buyer feel like he
18:27
can afford new credit simply because
18:30
interest rates have gone down, specifically the
18:32
old buyer, particularly happy because
18:34
his house price is now doubling
18:36
price. and still can
18:38
find a buyer because interest
18:40
rates are much lower than they were in the
18:43
90s. So the combination
18:45
of lower interest rates and injection of credit
18:47
into the economy makes this
18:50
offsetting effect basically,
18:52
or what I call the wealth illusion paradigm,
18:55
actually go further and further. And the reason why I
18:57
call it the wealth illusion paradigm is that where
18:59
you're forced to rapidly reverse this
19:01
interest rate story and move back
19:04
from 3 percent to 7 or 8
19:06
10 percent and stay there for a while. So
19:08
find a new equilibrium borrowing rates,
19:10
a bit like it happened in Japan in the nineties,
19:12
you're facing the risk. Yeah. That you have
19:14
to reverse this wealth effect and
19:17
basically deleverage the entire system.
19:21
So how do you see, what
19:23
are the potential paths forward
19:26
on this? I mean, we've got the tremendous amount of debt.
19:28
I'm sure the other thing that comes to mind for me too
19:31
is the initial conditions, right? So again,
19:33
you started with that many years
19:35
ago with very low interest rates. much lower debt
19:37
across both public and private
19:39
sectors. So you've got this space in front
19:41
of you to lever up. You've got high
19:44
interest rates going to low interest rates. So you
19:46
have this sort of perfect storm of
19:48
opportunity to create the wealth
19:50
illusion effect. What happens
19:52
going forward from here? When we're at 5
19:54
percent interest rates, do we need a massive
19:56
productivity growth? are we going to
19:58
see, you know, some sort of, the classic,
20:01
there's three ways out of it, you know, debt, you can
20:03
be austere. Nobody likes to do that. Nobody
20:05
gets elected. You can default, or you can sort
20:07
of debase the debt and
20:09
inflate it away. So those are kind of the three
20:11
paradigms that people talk a lot about. How
20:14
do you see us resolving this in the past
20:16
forward, given the current set of circumstances?
20:18
I mean, what, what politicians are doing right now
20:21
is while the central bank is trying
20:23
to act somehow responsible
20:25
by raising interest rates to fight inflation, that
20:27
puts a lot of burden on a highly leveraged
20:30
system. And so what's happening on the
20:32
other side is that governments are coming in with
20:34
fiscal injections, right? They're being much more
20:36
friendly on the fiscal side, hoping to basically
20:38
balance out this tightening from
20:41
The Federal Reserve and other central banks and come in
20:43
support in the private sector on the other hand of it.
20:45
Now, can this work? Again, yes,
20:48
it's a fragile equilibrium as long as
20:50
bond vigilantes and markets
20:52
don't start questioning this gigantic
20:55
use of fiscal stimulus in a pro cyclical way
20:57
and start wondering, you know, let's put a
20:59
premium on long bonds. Let's see what happens there,
21:01
for example. So this could be a release valve
21:04
for how the system becomes all of a sudden
21:06
very, very fragile. But
21:09
going forward, let's even assume. that
21:11
we go back to a situation where you
21:13
have a perfect soft landing, it's disinflationary,
21:16
so the Federal Reserve can cut rates all the way
21:18
to 2%, right? So we go
21:20
back on this treadmill basically of
21:22
let's try to put new leverage at cheaper
21:25
interest rates, okay? Even if
21:27
we go towards that, okay? There are limitations
21:29
because as you said, the private sector is much more
21:31
leveraged than before in general, not specifically
21:33
in the United States, but if you look around the world,
21:36
that is the case. you are in a situation
21:38
where you then slowly, but surely move back towards
21:40
low interest rates. So your ability to lower
21:42
interest rates further. Right.
21:45
So there are obvious limitations and
21:47
this is why I think people feel uncomfortable
21:49
with the system. Right. They feel it needs to crack.
21:52
So then my, my, the piece was there to
21:54
try and answer the question, what
21:56
is the macro end game? What are the solutions to this?
21:58
Right. So I see three. The first
22:01
one is. Politicians would show
22:03
up and say, sorry, guys, we're going to clean
22:05
up the mess. So we're going to go with a
22:07
gentle deleveraging. They would like to be
22:09
gentle, but with a deleveraging process,
22:12
I think that's pretty much politically unviable because.
22:15
You would have to deleverage
22:17
a wealth illusion effect system
22:19
and a levered up system
22:21
that has benefited two generations. That
22:24
will be a disaster. And even if it's true
22:26
that let's say after 2028
22:28
in the US, the majority of voters isn't going to
22:30
be The boomers or the people who benefited
22:33
most from this still, they would account
22:35
for like 40 percent of the voters. So I'm not
22:37
sure that any politician would volunteer
22:40
to actually deleverage the system. Would you agree with
22:42
me?
22:42
Yeah. And I think that the political system
22:44
in the U. S. is quite unique with all of these,
22:47
baby boomers and even older generations
22:50
holding positions of power politically.
22:52
And you have this massive voting group called
22:55
the millennials and why are they going
22:57
to endure austerity for
22:59
their grandparents? Like, what, what's the
23:01
motivation for them to eat this
23:03
particular shit sandwich so
23:06
that, that older generation, which is clinging
23:08
to power in a political
23:10
sense and driving the bus still,
23:12
and still votes predominantly much
23:15
more than the millennials vote. it's a very
23:17
unlikely scenario where we get the,
23:19
you know, austerity deleveraging without
23:21
some sort of, War,
23:24
some sort of call to action that, you
23:26
know, sort of solidifies the population across
23:28
the generations. So I agree.
23:31
I think you're right. And specifically China has
23:33
recently tried to deleverage a bit their system
23:36
and they're not doing particularly well as a result.
23:38
I mean, the Chinese real estate market was
23:40
valid at I think trillion
23:43
dollars at the end of 2021. That's
23:45
bigger, a bigger market cap than the U S
23:47
stock market. And then Xi Jinping said,
23:50
well, you know what, that's a bit too much, right? Should we try
23:52
to deleverage this sector? And China,
23:54
which is a centrally planned economy, still
23:56
got a lot of backlash from
23:58
this, you know, attempt at deleveraging.
24:01
So it's very hard in general
24:03
to deleverage a very leveraged system. And on top
24:05
of it, it wouldn't really benefit the status
24:07
quo, I would argue so. Politically unviable,
24:10
low, low likelihood. What's the second solution?
24:12
The one we were suggesting, hinting
24:14
at before, which is wealth redistribution.
24:17
So what you do there is you don't try to necessarily
24:19
deleverage the system, but you simply
24:22
try to shuffle around basically
24:24
the wealth distribution. So you do targeted
24:26
fiscal policies to make sure that some
24:28
of the wealth that has been allocated to a certain
24:30
cohort of the population gets moved
24:32
around basically to another cohort of
24:35
the population. So wealth redistribution.
24:37
That's it. In my opinion, this is more politically
24:39
viable simply because the majority of voters
24:41
will be very happy with wealth redistribution,
24:43
let's be frank, but it is also a very
24:46
volatile outcome because when you redistribute
24:48
wealth, you're also changing basically
24:50
the consumption patterns in the economy. So you're
24:53
moving money towards the right direction. the
24:55
higher core, the cohorts of the population
24:57
that are the more, they have the highest propensity
25:00
to consume basically. So what you're
25:02
doing there is you're really applying
25:04
tectonic shifts at our economic resources
25:06
are allocated. That's a very volatile outcome,
25:08
which I think is still politically viable and likely.
25:11
And what this does is it brings more vol,
25:13
more inflation risks, more stagflation risks
25:16
to the economy. So I think this is an outcome
25:18
where this could be. The macro endgame
25:20
or a step towards the macro endgame. And
25:23
I think that investors aren't necessarily
25:25
prepared in their portfolio for more
25:27
periods of inflation vol, more periods
25:29
of stagflation. I think this could be
25:32
one of the most likely solutions. What do you say?
25:34
Yeah. I think that, that was also talked
25:36
about a little bit in the, fire and ice
25:39
by HL man piece, if
25:41
anyone wants to look that up, where they looked at
25:43
inflation volatility previous
25:45
to sort of 1990 versus what we've had
25:47
from 1990 to today, and,
25:49
you know, correct me going from memory,
25:52
but inflation volatility has been post
25:54
1990 has been half
25:57
of what it was in the previous
25:59
period. So, you know, you had a couple
26:01
of world wars, you had a great depression, you
26:04
didn't have quite the coordinated central
26:06
bank efforts, and you didn't have this wonderful
26:08
starting place where you'd ratcheted rates up to 18
26:10
percent to purge the system of
26:12
debt, and then set the stage
26:15
for a wonderful, levering
26:17
of the economy. So, you know, yeah,
26:19
I think that's, that is, that's An interesting
26:22
scenario. What always triggers
26:24
my thoughts in this is the really
26:26
rich seem to figure out ways
26:28
in which to work around a lot of
26:31
these, these situations. So,
26:33
you know, as much as you have smart people in government trying
26:36
to think through ways in which to,
26:38
make the tax system more fair and redistribute
26:40
wealth, at the same time, you have very wealthy
26:42
individuals who have, you know, legions
26:45
of lawyers and tax structures set
26:47
up. To simply counter, counteract
26:49
those policies and programs, but it's
26:51
not to say that it's not possible. It's just, you
26:54
know, you kind of have to have buy in from everybody
26:56
that we're going to do this. and
26:58
then you've got, you know, the geopolitical
27:00
side of things where, nations are
27:02
competing with one another. You have the Japanese scenario
27:05
where you've got the yen falling through the floor,
27:07
making that particular economy pretty
27:09
competitive. And then what are the, What's the game
27:11
theoretic of all the economy economies
27:14
of the world trying
27:16
to redistribute wealth at the same time, but also trying
27:18
to compete with one another.
27:21
I think you're totally right. It's much easier said than
27:23
done. Nevertheless, a potentially
27:25
likely outcome or more likely than the first
27:28
one. The third
27:28
Well, there's going to be levers, right? I don't think
27:31
any one of these, is going to be the thing.
27:33
The other thing is it's probably going to be a combination
27:35
of, some of these three things together in some
27:37
way, shape or form, but definitely
27:40
more of this one.
27:41
the third one is simply kick the can
27:43
down the road, right? So pretend that nothing's going
27:45
on and have the system lever up a bit further,
27:47
maybe try to cut interest rates or try
27:50
to control the situation like today where interest
27:52
rates are high, but fiscal deficits are trying to
27:54
pick up the slack. And I think that's what
27:56
this is. politicians probably go the most for
27:58
because their objective number one is to preserve the status
28:00
quo. So as you said, there are like three, ways
28:03
to face this going forward. And I think
28:05
number three, preserving the status quo is what politicians
28:07
want. but it's going to be a bit more,
28:10
you know, interval by, step number
28:12
two, which is wealth redistribution policies to
28:14
try and gain more voters and try to make
28:16
the system a bit more balanced. So what
28:18
I'm looking at is situations where if
28:20
you think about how to. Positioning a portfolio
28:23
for something like that. There's a chart in
28:25
the article that shows the, LCTM,
28:27
NAV, the net asset value of a dollar
28:29
invested there. and, you know, if you would understand
28:32
straight in 1994 and what LTCM
28:34
was doing was basically,
28:37
levering up on, on
28:39
illiquidity and relative value, that really was
28:41
more illiquidity, illiquidity premium than anything
28:43
else. You would say, look, if these guys keep doing
28:45
this, At some point, they're going to blow up,
28:48
right? There's going to be a situation where they're going to blow
28:50
up and. You
28:52
had to wait four years until
28:54
that payoff came, right? There is a chart that says you
28:57
can basically mirror it if you're trying to bet
28:59
against them and you will lose money, lose money, lose
29:01
money, lose money, lose money for four years, and
29:04
then you would make a ton of money, right? And then
29:06
I say, look, if you want to Time
29:08
or trade the micro end game as
29:10
a binary outcome. Basically
29:13
what you're looking at is potentially
29:15
a few decades of under
29:17
performance on the performance on the performance. And
29:20
none of us are in the business
29:22
of underperforming for more than
29:24
actually a few quarters, unfortunately, how the financial
29:26
industry is set up nowadays. So,
29:29
so we have to find ways to incorporate,
29:31
I think, these probabilities into a
29:33
framework, into a portfolio so
29:35
that. You can build something that is relatively
29:38
well balanced that doesn't necessarily underperform
29:41
while you preserve some convexity
29:43
towards a scenario where
29:45
one of the, of this macro end game solution actually
29:48
pops up. Right. And I think that's the aim.
29:50
And it's important to pass it through as a message. Don't
29:52
binary trade something,
29:55
which is potentially decades to
29:57
go because it's going to cost you a fortune
29:59
to do that. And maybe the payoff comes
30:01
way too late for you to actually be able to benefit
30:04
from it.
30:05
Exactly. and there's a lot in
30:07
that. so LTCM, the
30:09
Thai bot, the Russian ruble,
30:12
and then the Fed's decision
30:14
by Greenspan to
30:16
loosen because the financial
30:19
global system was in jeopardy
30:22
was probably one of the causes
30:24
of the NASDAQ going from 2000 to 5000.
30:28
Right. We have the correction in 98. LTCM
30:31
gets worked out. There's a massive
30:33
injection of global liquidity. And
30:35
then you have a technology bubble that
30:38
is to some degree what
30:41
the U. S. may be facing yet again, in
30:43
that if we have something that causes
30:45
a global breaking of
30:48
something, and then the
30:50
U. S. has to decide whether
30:54
prioritizes the global stability
30:57
over. The U. S. inflationary
30:59
stability. So how much will the U.
31:01
S., if it had to loosen rates because
31:03
something breaks globally, what
31:06
are the implications for an inflationary
31:09
situation for the U. S. population?
31:11
And for those, that large swath of voters that
31:13
isn't rich, you know, if you're living
31:15
paycheck to paycheck, 25 percent increase
31:18
in the cost of living is, is extremely
31:20
difficult and is heartfelt.
31:22
And you have a vote in that. So
31:25
there's lots of, Unintended
31:27
consequences that come from the central
31:29
bank's interventions and these three levers
31:32
that they're trying to work through, kick the can,
31:34
slightly de lever, redistribute wealth
31:38
in a world where inflation volatility goes
31:40
up dramatically, which then of course,
31:42
I think as you're alluding to, and I
31:44
will, second is that now you
31:46
need a framework that considers all of those
31:48
issues, that considers the implications to
31:51
asset prices. How are you
31:53
going to balance those exposures? How are you going to? Add
31:55
a global macro framework to
31:58
your asset allocation system because
32:01
we are not today starting at
32:03
18 percent interest rates going to zero.
32:05
We're not sitting at a very lowly
32:08
levered economy. We're
32:10
sitting at, you know, high rates at a high
32:12
levered economy. Sure. We've got some ability
32:14
to cut, but that is what makes
32:17
global macro so popular or so potentially
32:19
profitable in thinking
32:21
through how you might balance your exposures.
32:24
And as you say, you don't want
32:26
to bet on these things in a binary fashion. You
32:28
want to think through the probabilities of them
32:30
and probability weights, some of your thinking,
32:34
and you probably need a base portfolio to think through,
32:36
to think about bets against a base portfolio
32:38
as well.
32:39
Yeah, so I would say the first step to
32:41
do here is to say, if
32:44
I get somewhere
32:46
along the road, a higher probability of one
32:48
of these macro end game outcomes to
32:51
become more likely, how is my
32:53
portfolio going to react to a mental
32:55
stress test basically of one of these, right?
32:58
So let's say that, for example,
33:00
let's not even talk about the macro end game, but the simple
33:03
situation where inflation picks up
33:05
and in 2022, it was the result
33:07
of 2020 and 2021, not
33:10
wealth redistribution, but simply fiscal interventions
33:12
to make sure that, you know, that
33:14
the system could continue to exist during
33:16
the pandemic. And so the result was inflation
33:19
because the U. S. ended up doing too much and there were
33:21
supply bottlenecks and so on and so forth.
33:23
So what happened back then? Well, as my
33:25
friend Dan Rasmussen from Verdat
33:27
Capital, he has a very good chart where
33:29
he goes back, I think, 150 years
33:32
and looks at the three year rolling correlation
33:34
between bonds and stocks. Right.
33:36
And then he looks at, that
33:38
level of correlation pending.
33:41
or conditional of the level of core inflation
33:43
that is prevailing, right? And then it's a very simple chart
33:46
where you see this negative correlation existing,
33:48
mostly in periods where inflation is between
33:51
one and two and a half percent. You know, when inflation
33:53
is between one and two and a half, bonds and
33:55
stocks are negatively correlated. It makes all the sense in
33:57
the world because if something goes Poor,
33:59
let's say in earnings or in the real economy, the
34:01
central bank will cut rates. You know, they have
34:03
inflation at their target level with
34:05
actually even maybe lower, so they can and will
34:07
cut the interest rates and this will benefit bonds.
34:09
And therefore this negative correlation exists very,
34:13
very well, very well documented through decades
34:15
when core inflation is between one and two and
34:17
a half percent. But the chart
34:19
also shows how, the
34:21
correlation turns positive. when core
34:23
inflation is above 3 percent and particularly
34:25
when it's very volatile, you know, and ranging between
34:27
two and four and three and five, and then
34:29
the correlation becomes positive. And that's exactly what
34:32
we saw in 2022, right? So stress
34:34
testing your portfolio mentally would
34:36
basically bring you to a situation where if you're running
34:39
only bonds and stocks, I'm sorry, but you have two
34:41
items. They're both going to go down at the same
34:43
time. And I'm
34:45
going to, I'm going to also say that the 60 40 portfolio
34:47
is 85 percent equity ball in the first
34:49
instance. And so, you know, your job is
34:51
also somehow correlated to the business cycle
34:53
and to equity and to earnings. And so if everything
34:55
is falling down and your job is more at risk
34:58
and your portfolio is facing a 20 percent drawdown,
35:01
I'm going to argue that is not necessarily
35:03
a robust framework to invest,
35:05
especially if you think these vol
35:07
events. So let's say wealth
35:09
redistribution, fiscal deficits, high inflation,
35:11
low inflation, more volatility is going
35:13
to pop up, right? You need something else.
35:16
You need to mental stress your portfolio before
35:18
we even talk about. Sources of uncorrelated
35:20
returns, so alphas like carry or
35:23
trend or global macro, we first need
35:25
to fix the beta. Like do you have
35:27
exposure to, different beta
35:29
elements that will contribute to
35:31
stabilize your returns if
35:34
the macro environment is not what you have
35:36
seen for the last, 10, 15 years. So
35:38
this inflationary growth driven by the U
35:40
S if you have any other outcome, which
35:42
is maybe inflationary growth or deflation
35:45
or growth outside the U S is
35:47
your portfolio from a beta perspective,
35:50
prepare to really benefit from
35:52
this environment, different lenses.
35:54
So, so, so right on the mark
35:56
there, Elf, the way you
35:58
get to the current situation we're in is
36:00
you have this positive reinforcement,
36:03
this recency bias where investors
36:05
have been treated so well by a disinflationary
36:08
growth environment, market cap
36:10
weighted strategies are
36:12
now way over in the disinflationary
36:15
growth camp. If we take the S& P
36:17
500 and say, well, okay. You
36:20
know, we use a lot of energy in
36:22
our global economy. And,
36:25
you know, it's said that an AI search
36:27
now takes 17 times more energy
36:29
than a Google search once did. So we
36:31
have a very energy intense economy.
36:35
Yet, if you look at the S& P
36:37
500 at the moment, 4 percent
36:39
of the S& P 500 is energy.
36:43
2 percent is materials. So
36:45
what is your hedge in the situation
36:48
where we get into a stagflationary environment
36:50
where the cost of inputs to production
36:52
energy and so on are rising
36:54
rapidly? That takes profits out
36:56
of the rest of the 96 percent
36:59
of the S& P 500. And
37:01
you've got nothing in your portfolio that is
37:04
adding positive returns if
37:06
you're in a stagflation environment where growth
37:08
is threatened by maybe the cost
37:10
of inputs or debt or other things. So
37:13
you have a totally imbalanced portfolio.
37:16
You're basically letting the maniacs run the asylum
37:18
here, right? But
37:21
it feels okay right now. 2022
37:23
was just like a little appetizer in
37:26
that scenario. So, I
37:29
mean, people have this recency bias. What
37:32
has been the, you know, sort of Pavlovian
37:35
or habit based response that they've had
37:37
over the last 20 years, they've been trained very well
37:39
to buy the dips. I think,
37:41
you know, you probably get a Pavlovian response
37:43
in a growth, threatened environment where bonds
37:45
do rally. In some way, but I
37:47
don't think that rally is going to be what it has been in
37:49
the past because if you're
37:52
injecting that stimulus, then
37:54
on the other side of the equation is, okay, well, who's going to pay
37:56
off the bonds? Like how do we pay off all this debt
37:58
that's accumulated? And what's the credit
38:00
rating on those bonds? So how do you
38:02
fill out the portfolio? Like we have
38:04
this, you know, largely sort of, maybe
38:07
we've reached peak passive, peak
38:09
market cap, which has been dominated by
38:11
a disinflationary growth environment, which means largely
38:13
US equities are the largest piece of any
38:15
sort of market cap portfolio. How
38:18
do we protect ourselves going forward? What do we need
38:20
to incorporate? And what do we do in a
38:22
global macro framework from your perspective
38:25
in order to round this out?
38:27
Look, I think on the betas, your most famous
38:29
betas are equities bonds. And I would say
38:31
there is commodities as well as a beta you can try to
38:33
achieve and potentially the dollar, which is an
38:35
interesting beta as well. And then you can,
38:37
you know, just look at, for example, on equities, you
38:39
can do a internationally diversified
38:41
to protect you against the outcome that growth comes from
38:44
outside the U S. you can do, equal weight
38:46
rather than market cap weighted to make sure that,
38:48
you know, you have a broader exposure to the
38:50
equity market. And on bonds,
38:52
you know, you can do. different points
38:54
of the curve. So especially through futures,
38:57
you can use very little cash to get your bond
38:59
exposure and get, a certain
39:01
amount of volatility out of the bonds because often,
39:03
you know, in the 60, 40, you will target intermediate
39:05
bonds. They have very low duration, very
39:07
low sensitivity to move to interest rates.
39:10
And therefore you will need a ton of them
39:12
to make sure that they contribute actively
39:14
as a defender in this inflationary environment. So
39:17
again, through futures, you can structure that in a more
39:19
interesting way than just targeting
39:21
your five or seven year bonds. And
39:23
then you have commodities. And then we go towards
39:26
the more defensive side of things. Okay.
39:28
What if there is inflation, for example, so how
39:30
do we work around that? If
39:32
there is inflation, you can think of
39:34
commodities, but you can even think of strategies
39:37
that actually benefit from inflationary
39:39
environments. So in 2022, we saw,
39:42
the rise, I think, or the comeback, I
39:44
should say of trend strategies. So
39:46
these are strategies that, you know, basically
39:48
make money when there is a clear
39:50
breakout in prices. And when does
39:52
that happen? Well, when there is a lot of macro volatility,
39:55
you would expect, right, that there are more
39:57
convex reactions in prices and therefore
39:59
trend strategies can actually benefit from
40:02
this a bit. And you can see that trend strategies tend to do
40:04
pretty well during Inflationary
40:06
bouts exactly for this reason, because you need to restructure
40:09
the way you think about interest rates and equity sectors
40:11
and commodity prices. And so you have a lot
40:13
of trends developing and you can benefit
40:16
from an allocation to trend. So we are now
40:18
moving from the structuring the beta in
40:20
a smart way, sizing it correctly
40:22
through futures, looking at international diversification
40:26
into more Let's say the
40:28
alpha side of things or the uncorrelated stream
40:30
of returns or the defenders. And
40:33
so when you look at defenders, I think trend does
40:35
a great job at being a potential defender.
40:38
And then there are strategies that are a mix of defenders
40:42
and, uncorrelated stream of returns. And I
40:44
think global macro is in that category
40:47
because a good global macro strategy,
40:49
what it does is it looks at.
40:52
idiosyncratic opportunities popping up
40:54
around the world because of macro volatility.
40:56
So it doesn't necessarily need a trend
40:58
to develop somewhere, but it needs
41:00
a set of idiosyncratic opportunities
41:02
available. These might be in the shape of
41:04
the yield curve. You know, interest rates are priced
41:06
between countries, maybe Europe versus
41:08
the US, maybe in equities
41:11
versus each other. So Chinese equities versus
41:13
US equities. It just needs a set
41:15
of idiosyncratic opportunities that are popping up.
41:17
because of more global macro volatility,
41:20
right? And so it's a strategy that can
41:22
do well, let's say in normal
41:24
times, but it's expected to do particularly
41:26
well when there are clusters of volatility,
41:29
right? And that's, it's a mix between
41:31
a relative value, neutral
41:33
type of strategy and a defensive
41:36
payoff, which tends to do well, particularly
41:39
when macro volatility is picking up. So you think
41:41
of all this potential stream of returns and
41:43
you guys with the return stacking concept
41:45
are popularizing. That worked very well, I think,
41:47
because you basically are very optimal
41:50
in how you spend your cash to obtain your
41:52
beta, your SMP, your bonds,
41:54
your standard beta, right? You
41:57
obtain that with little cash, and then you all
41:59
of a sudden freed up some of your notional
42:02
to invest in the strategies, which you, as you correctly
42:04
say, you can stack on top of your betas. And
42:06
then you have your standard balance
42:09
portfolios betas, plus your SMP. Your
42:11
new attackers, your new uncorrelated strategies,
42:13
your new defenders in an alpha format
42:16
because you have freed up the cash to allocate to
42:18
those.
42:19
Love that. And so for those who might be listening
42:21
that aren't sure or don't know what managed futures
42:23
are and that sort of thing, there
42:25
is on the Return Stack portfolio solutions,
42:28
webpage, we published a managed futures trend
42:30
following sort of a educational
42:32
piece to help, you know, elucidate
42:34
some of the things that, that, ALF's talking about
42:36
here as well. And the other thing in
42:38
trend is that you can be long or short.
42:41
And I think that's another thing that benefits as
42:43
well as the position sizing you
42:45
talked about, right? So it's, you know, it's not
42:47
a, capital allocation of 40%.
42:50
You do it on a risk allocation. So you can
42:52
size your bonds to have an impact on your portfolio.
42:55
That's beneficial during those dark times.
42:57
One other string I want to pull back into
43:00
this to make it very clear for people
43:02
out is we were talking about
43:04
inflation volatility previously.
43:07
When you have very low inflation volatility
43:09
and you have a stable environment from the late 80s
43:12
until 2022,
43:15
you don't have a lot of these dislocations.
43:18
They just occur less often, and
43:20
it makes those types of managed futures
43:22
and trend following strategies, they just have less opportunity.
43:25
But if you look outside of those periods,
43:27
pre 1990, and now post
43:30
2022, what you get are
43:32
these dislocations created
43:34
by fiscal policy,
43:36
central bank policy, the realities
43:38
of debt and leverage in the system,
43:41
where these types of strategies that Alf
43:43
was talking about Actually have
43:45
more of an opportunity to import
43:47
that important value to the portfolio.
43:50
So not only do you need to structure your beta
43:52
thoughtfully to think through all of the allocations
43:55
and the different regimes that may occur, but
43:57
then your hedge or your explore portion
43:59
of your portfolio that that attackers and
44:01
defenders actually has more
44:04
opportunity to provide greater value.
44:07
In this current paradigm.
44:08
Yeah. Also the reason why I am
44:11
launching my global macro hedge
44:13
fund as well in the fourth quarter of this year.
44:16
If you look at how politicians are using
44:18
fiscal, it used to be
44:21
actually a. anti cyclical,
44:23
lever, right? I mean, politicians would look at the economy.
44:26
If it would weaken, they would do more fiscal deficits.
44:28
It would, if it would strengthen, they would pull
44:30
a little bit back. Now it's not the case.
44:32
It seems to be more a feature than a bug
44:34
or an anti cyclical tool. It's just all
44:36
over the place. And this increases the
44:38
chance that there's going to be more macro ball down
44:40
the road. And if you look at changing demographics and
44:43
you look at, you know, the green transition,
44:45
there are so many moving parts out there
44:47
for which I think. Macro vol is going
44:49
to increase. And so you look, if
44:52
you have this view that macro vol is going to
44:54
increase, then as you said, you not only have
44:56
to look at your betas very carefully, but also
44:58
consider an allocation to other
45:00
strategies, more on the alpha side,
45:02
let's say that are able to diversify
45:05
your return. So global macro, for example, did
45:07
particularly well in 2022. a year, which
45:09
was very, very volatile for macro in general.
45:11
And then it saw your betas do particularly
45:14
poorly. So that's bonds and equities. They did particularly
45:16
poorly and global macro did very well. If
45:18
you expect more years ahead that are
45:20
as volatile potentially, then you
45:22
need stabilizers in your portfolio. I personally
45:25
expect a lot of macro vol, and that's the reason
45:27
why my macro hedge fund launches in Q4.
45:30
Yeah. And let's talk about how you've thought through
45:32
the structure there. We've got about 10 minutes
45:34
left to kind of sit and explain
45:37
to us how you've thought through your betas. And
45:39
well, first of all, are you stacking betas and
45:41
alphas together? How are you thinking through the beta
45:43
side? How are you thinking through the alpha side? And then how are
45:45
you combining the two? And I think if you can, you
45:48
know, enlighten everyone on that and then Obviously,
45:51
if you do see this and you are interested in,
45:53
in what MacroAlf is talking about
45:55
for later this year, make sure you get in
45:58
and send them a DM or, you know, get
46:00
on Substack and get on the
46:02
macro compass and let them know. and, yeah,
46:04
make sure you're in line for when, when the launch
46:06
occurs. But yeah, take us through the structure.
46:09
Yeah. So, so for me, the aim is the
46:11
following. If I launch a global macro strategy,
46:13
do you need me to run beta for you?
46:16
The answer is no, you don't. You don't
46:18
need me to run beta for you because I'm
46:20
not paid for that. You can achieve beta, for example,
46:23
to return stacking products in a very
46:25
cheap and efficient way or in any other way
46:27
you prefer, but it's generally pretty cheap to
46:29
get intelligent exposure to beta,
46:32
I would say. So, I
46:34
instead am running strategies that are market
46:36
neutral. They try to have a filter for
46:38
S& P 500, treasury beta, the standard
46:40
beta, to have as little beta exposure
46:42
as possible in the fund, and to instead
46:45
deliver a stream of return, which is positively
46:48
skewed as we would define it. And it
46:50
benefits the most during clusters of macro
46:52
volatility. So this is a strategy that
46:54
Basically looks at idiosyncratic opportunities.
46:57
It looks at interest rates, at equity markets,
46:59
at currency markets, at commodity markets
47:01
from a global perspective, and it tries to
47:03
identify this location. We
47:05
think in probabilities. So we always look
47:07
at different scenarios. We have various models that
47:09
look at. Scenarios and how markets
47:11
are pricing them in probability terms where
47:14
consensus is. And we try to look
47:16
at potential catalysts for these locations.
47:18
We say, look, if the market, for example,
47:20
from let's take a look at the Fed funds today,
47:22
right? And what the market is thinking about the distribution
47:24
of these returns of these outcomes for the Fed. I
47:26
think it's a good example for how we think
47:28
about it. So if you take a look at
47:30
this chart right here, it shows
47:33
the distribution of probabilities,
47:36
the top chart here for Fed funds future
47:38
in 12 months from today. So we're
47:40
looking at what the market thinks Fed funds will
47:42
be in 12 months from now. But
47:44
instead of looking at one number, we're looking
47:46
at the probability distribution. Okay.
47:49
So I derive this by looking at options
47:51
that are underlying the future contracts. And
47:53
what it's telling me now, if you look at the summary
47:55
table here, is that the recession in the
47:57
U S or cuts that are in line
48:00
historically with the recession in the U S are
48:02
priced by the market at a 5 percent
48:04
probability. 5%.
48:06
So what do I think about that probability?
48:09
Well, historically you have a recession
48:11
in any given year with about a 10 percent chance.
48:13
You have a recession every 10 years in the US.
48:15
Okay. So now you're getting this tail price
48:17
at the 5 percent probability. That's relatively
48:20
cheap, I would say. And also you, you start thinking like,
48:23
I don't think the U. S. will be in a recession necessarily
48:26
in one year, but if you think in probabilities,
48:28
you just need this distribution to shift
48:30
a bit over time your way and you can structure
48:33
option payoffs that will pay very handsomely
48:35
if that transition happens. And
48:38
then you look at this and you say, Hey, the modal
48:40
outcome of this distribution, the most observed
48:43
outcome is actually zero cuts.
48:46
So the market is fully gone in now
48:48
on the idea that the Federal Reserve will
48:50
not cut interest rates at
48:52
all over the next 12 months. Actually,
48:54
there is even a tail right here for hikes.
48:58
So now the market is starting to price in a relevant
49:00
probability that the Federal Reserve might hike
49:02
rate, a modal outcome
49:05
of no cuts at all, and an
49:07
only 5 percent probability of a recession
49:09
going forward. So now how do
49:11
you think about this? It's like, okay, if I need
49:13
to take a position here. Then
49:15
I can think of an, of a structure that might
49:17
bet on the idea. The economy may be weakens
49:19
a little bit going forward. It doesn't need to end
49:21
in a recession, but as long as this distribution
49:23
shifts to the left over time, shifts towards
49:26
more cuts, you can benefit from
49:28
it, even if ultimately you don't have a recession,
49:30
just by understanding our consensus
49:32
position, how the tail surprised and
49:35
thinking in probabilities. That's what we do
49:37
a lot in the macro fund and in the framework
49:39
we have created.
49:40
Right. And you're doing that across, I'm assuming,
49:43
the rates, some stocks, but not,
49:45
not in a correlated sort of beta buy
49:48
and hold type of thing. All
49:50
the commodity space,
49:51
Currencies. Correct. So, so we trade
49:54
mostly futures because it's the most liquid way
49:56
to do that. We will then do swaps and other
49:58
derivatives where it's the most optimal way to express
50:00
this, but we will do it correct across asset
50:02
classes and across geographies. And
50:04
the idea is to identify these dislocations and
50:07
see how the market is, the consensus
50:09
is pricing certain distribution finds this
50:12
dislocation and get in. So if there is
50:14
macro ball, if there are these classes of volatility,
50:17
you have positions on that might. Allow
50:19
you to benefit from it and actually
50:22
You serve the role in the client portfolio
50:24
and the role is, and when your betas are
50:26
not working because of that cluster of volatility,
50:28
you are there to offer them diversification
50:31
benefits and actually upside returns.
50:34
And then last question, I know because we're
50:36
running out of time here, but how do you think
50:38
about the assembly of that,
50:40
sort of, set of trades? So you're going to see
50:42
some stuff in the rates world. You might see some opportunities
50:45
in commodity space and then a currency trade or
50:47
two, something in, in equity
50:49
vol world or. You know, relative
50:51
value or whatever, whatever it comes up. How
50:54
are you thinking about positioning those trades
50:56
across the entire portfolio?
50:57
So what we do is we apply
51:00
a inverse volatility mechanism
51:02
to size the trade. So we are looking basically
51:04
at having a set of uncorrelated
51:07
trades in the portfolio, all contributing
51:09
the same amount of risk and volatility to the
51:12
fund. And the idea is very simple.
51:15
You never know when you're right and you'll never know
51:17
when you're wrong, right? You only set positions
51:19
on based on your initial idea
51:21
that your expected value is positive, but ex
51:24
ante, we're going to see what's positive or what's not. So
51:26
the idea is you size them all in a way
51:29
that they contribute equally to the risk of
51:31
the portfolio because As a
51:33
macro manager, you are right 50
51:35
to 55 percent of the times, unless
51:37
you're selling volatility, which is not what we do.
51:40
You are right. 50 to 55 percent of the
51:42
times. So what you want is that when
51:44
you are right, actually, the
51:46
specifically, sorry, when you're wrong, each
51:49
of these uncorrelated trades can contribute Only
51:51
to a maximum capped amount of
51:53
loss in your fund, right? But
51:55
when you are right, you have strategies in place, either
51:58
through an option payoff or a trailing, profit
52:00
strategy to be able to extend the
52:02
right side of your returns. And so by
52:04
doing this, even being right, only 50 percent
52:06
of the times, as long as the portfolio construction
52:08
and the risk sizing process is accurate, you
52:11
actually can get positive, positively
52:13
skewed returns at a fund level.
52:15
absolutely. And that's a bit of an ensemble
52:18
as well, where you're taking many, many sources
52:20
of information and sources of return, combining
52:22
them together. You get the noise canceling out, you
52:24
get some signal in there, you get some positive returns.
52:27
And, and you've got a very diversified
52:29
portfolio that is quite different
52:32
from traditional betas that make
52:34
it so complimentary in a portfolio.
52:37
Yes. And for me, it's really simple.
52:39
I'm a, an open book over to being on social
52:41
media through research. So also
52:43
for this, adventure, pretty simple.
52:45
If anyone is interested, they can shoot me an
52:47
email, fund at the macro
52:50
compass. com is the address. The
52:52
macro compass is the symbol that you see there on
52:54
my back. So you can't miss it. Fund at the macro
52:56
compass. com. You send me any message,
52:58
I will take a look at it. We can have a chat. I'm
53:00
very open. Part of the
53:02
diversification, I would say of this fund is that. I
53:05
will be the opposite of your standard macro manager
53:08
who you only hear during tax season, maybe,
53:10
and through some investment letters. I'm very open
53:12
to discuss the ways I can help potential
53:15
investors. So just send me a message
53:17
and I'll pick it up.
53:18
Amazing. Thanks so much, Alf, for your time
53:21
today. And, as he said, the Macro
53:23
Compass on Substack, as
53:25
well as, at MacroAlf on Twitter
53:27
is where you can find this, brainiac of
53:29
the macro world. And one of our favorite
53:31
guests, I'll thanks so much for joining us again today.
53:33
And, we look forward to chatting in the future.
53:35
It's been a pleasure. Thanks again.
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