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Why Global Liquidity May Be Turning Against Markets | With Michael Howell

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Why Global Liquidity May Be Turning Against Markets | With Michael Howell

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489 segments

0:06

Welcome back to Real Vision. I'm your

0:07

host Ash Bennington. Today I'm joined by

0:09

Michael Howell, founder and managing

0:11

director of GL Indexes. Michael, great

0:14

to have you back with us on Real Vision.

0:17

>> Well, Ash, it's always a pleasure.

0:19

Plenty going on markets. You know, is it

0:20

going to be a summer panic? We We always

0:23

question that one.

0:25

>> Well, Michael, it's great to have you

0:26

with us. I know many of our viewers are

0:28

familiar with your work and I'm I'm sure

0:30

are eager to hear from you today. But

0:32

for those who are not familiar with your

0:33

work, who may be joining us for the

0:34

first time, tell us a little bit about

0:36

what you do and your view of the world

0:38

and markets.

0:40

>> Okay. Let Let me kick off by saying that

0:42

our lens is is liquidity.

0:45

That's been our focus for probably three

0:47

decades now.

0:49

Our view is that money moves markets.

0:52

Economics is downstream of markets and

0:54

geopolitics is downstream of economics.

0:57

So basically it all begins with with the

0:59

liquidity cycle and that's what we put

1:01

most emphasis on.

1:03

We track liquidity flows through

1:05

financial markets and I stress that

1:07

difference between liquidity in the

1:09

financial economy and liquidity in

1:11

generally in the real economy. They're

1:12

two very very different things. So we're

1:14

looking fundamentally at liquidity in

1:17

the financial markets. That flow that's

1:20

driving asset markets and we

1:23

basically collect data intensively from

1:26

about 90 financial systems worldwide.

1:29

Clearly some of those are less important

1:30

than others, but we we

1:33

pretty much cover the waterfront. And

1:35

we're looking at granular data. So we

1:37

collect about 30 data series per

1:38

country. And we've just basically

1:40

launched in the last 9 months a system

1:42

where we can do that on a much more

1:44

granular basis. In fact, high frequency

1:47

daily data. So

1:48

there's a there's a lot of numbers that

1:50

go into these calculations.

1:52

>> Michael, I've been following your work

1:53

for years since I've been at Real

1:54

Vision. You do a very granular job of

1:56

going through that data. You've got some

1:58

decks prepared for us today, some charts

2:00

for us to look at. Let's jump in and

2:01

take a look.

2:03

>> Yeah, sure. Um, I mean, the first slide

2:05

is probably the the sort of centerpiece

2:08

of of what we do, which is

2:10

uh, looking at the global liquidity

2:11

cycle. Uh, you can see what's going on

2:14

maybe visually here. Uh, the black line

2:16

is a measure of the momentum, and I

2:19

stress the momentum, not the level, but

2:21

the momentum of liquidity, which is

2:23

traveling through world financial

2:24

markets. Uh, again, this is not a money

2:26

supply measure like an M2. This is

2:28

basically liquidity in the financial

2:30

sector, which is very different. Uh,

2:32

this is showing the underlying rate of

2:34

change of that series. Uh, you can see

2:36

that the data series goes all the way

2:38

back to the 1960s. Um, the red line that

2:42

you can see on top of that is a sine

2:43

wave that we've put we've put on top.

2:46

Uh, that was estimated for those that

2:48

are

2:49

uh, familiar with mathematical

2:50

techniques by Fourier analysis uh, back

2:53

about 25 years ago. So, in year 2000, we

2:55

did the calculations. We haven't changed

2:57

those, and we've just basically just

2:58

rolled on the same uh, cycle. That is a

3:01

65-month cycle, and it seems to be more

3:03

or less uh, tracking uh, the liquidity

3:06

cycle as is. Uh, independently,

3:09

uh, a group called the Foundation for

3:11

the Study of Cycles in the US uh, asked

3:14

to look at our data. Uh, we gave it to

3:16

them. They're sort of uh, very uh,

3:18

they're they're very thorough uh,

3:20

analysts for cycles. Uh, they put it

3:22

through their algorithms and actually

3:23

came up with exactly the same frequency,

3:25

a 65-month cycle. So, that's reassuring.

3:29

Um, uh, they certainly know what they're

3:30

doing when it comes to cycle analysis.

3:32

And what you can see is the cycle

3:34

basically flipping and flopping.

3:36

Um, it uh, bottomed in late 2022 around

3:39

September, October of that year. It

3:42

peaked in Q4 of um, of last year. Uh,

3:46

momentum has been slowing ever since. I

3:48

mean, I stress the fact this is the rate

3:50

of change, it's not the level, but you

3:52

can see the inflection and it's that

3:53

inflection which really informs our

3:55

asset allocation. So,

3:57

what I can do is just give maybe a

3:59

glimpse of that

4:01

to look at what we really mean.

4:03

This is looking at the notional asset

4:05

allocation cycle. This is how we uh

4:08

basically define

4:10

um

4:11

investment our investment stance.

4:13

Uh we begin, if you look at the

4:15

left-hand side of that diagram,

4:17

with the equity markets. So, in other

4:19

words, equities do very well when you've

4:20

got liquidity conditions

4:22

uh

4:23

very very strong. In other words, when

4:25

you've got a lot of momentum in the

4:26

upswing of the cycle. Commodity markets

4:29

tend to do best around the peak of the

4:30

cycle. I mean, that's clearly where

4:32

we've been for much of the last 12 15

4:34

months. And then as the cycle starts to

4:36

affect inflect and lose momentum,

4:40

you start to find that cash instruments

4:42

tend to do better. And that's a call not

4:44

just on the return, that's also on the

4:46

on the volatility background. So, as you

4:48

start to see liquidity flipping over, uh

4:51

not only do returns on risk assets fall,

4:53

but actually the underlying volatility

4:55

of those instruments picks up. So, the

4:57

quality of return deteriorates. And then

4:59

by the time we get to the trough of that

5:00

cycle, you tend to find that bond

5:02

markets uh conventional government

5:04

bonds, longer duration government bonds

5:06

that is, tend to do uh very well.

5:08

They're the better performance. And you

5:09

can see as well we've sort of

5:10

embroidered the chart by looking at what

5:12

the yield curve, which is denoted YC, is

5:14

doing at different phases. Bear

5:16

steepening, bear flattening, uh bull

5:18

flattening, bull steepening, etc. And

5:20

what different uh industry groups uh are

5:23

doing as well in red. Uh one of the

5:25

things to note that if you look at the

5:27

cycle where we are right now, which is

5:29

what we would deem to be the speculation

5:32

phase of the cycle,

5:33

uh you would typically find strong

5:35

performance from commodities. You'd also

5:37

be seeing a bear flattening of the of

5:39

the yield curve. And both those two

5:41

factors are definitely coming out. The

5:43

other thing that's worth pointing out,

5:45

which is shown on this uh this other

5:47

slide which is sort of putting this in

5:49

context uh comparing the liquidity cycle

5:51

in red with the uh economic cycle in in

5:55

yellow there is that as I said right at

5:57

the beginning the liquidity cycle is a

5:59

sort of foundation. It leads uh most

6:02

things particularly the real economy.

6:04

The real economy tends to lag about 15

6:07

months maybe 18 months uh after the

6:10

liquidity cycle uh peaks and troughs and

6:14

you can see there that where we are now

6:16

which is around that area that is

6:18

denoted by that uh red blob. That red

6:21

blob signifies that that's a yield curve

6:24

prospective yield curve turning point.

6:26

It occurs as you sort of move over into

6:29

the downwards phase of the liquidity

6:31

cycle but that is the phase as you will

6:33

see there when economies are

6:35

accelerating. So the third factor to

6:38

watch is not just strong commodities,

6:40

not just yield curves inflecting but

6:42

also economic momentum beginning to pick

6:44

up. So we're trying to fingerprint the

6:46

markets by looking at a range of

6:48

indicators uh starting from liquidity

6:50

but also broadening out to understand

6:52

that transmission.

6:55

>> So this is just an excellent setup for

6:56

the way the framework you use how you

6:59

think about the world. Uh Mike whenever

7:01

you come on the show I do my homework

7:02

ahead of time. I was reading some

7:04

research that you guys put out last

7:06

night. I saw this headline uh which

7:08

obviously got my attention. GFC II is

7:12

likely by 2030.

7:14

Uh that is uh a um quite striking

7:18

headline when you see it in a chart

7:19

deck. Give us a little bit of a sense of

7:22

where we are right now in your view with

7:25

regard to the liquidity cycle, with

7:26

regard to the economic cycle uh and with

7:29

regard to where you see markets heading

7:31

next.

7:33

>> Okay that's uh um

7:35

uh a good segue into uh maybe trying to

7:37

understand what the the pressure points

7:39

in markets are. So let me just spin on

7:42

to uh that part of the presentation,

7:44

which is a little bit further on. Uh

7:46

maybe the best thing to do is to start

7:48

with this slide. This is looking at the

7:50

structure of global liquidity. So, you

7:53

can see there the the broad numbers. So,

7:55

global liquidity is a pool of

7:57

uh uh of funds,

7:59

190 trillion. Uh that means it's about 1

8:02

and 3/4 bigger than the world economy

8:05

itself. Uh and that sits on what we

8:07

think of as a shadow monetary base. Uh

8:10

and that monetary base is consisting of

8:13

not only central bank money, so in other

8:15

words, Fed liquidity, it's also sitting

8:17

on collateral, which you've got to

8:19

accept are probably

8:21

dominated increasingly, certainly in

8:22

financial trades, by US Treasuries. So,

8:25

it's that collateral and central bank

8:27

money pool, which is, if you like, the

8:29

base of the inverted pyramid, uh and

8:31

that's what constitutes the bulk of the

8:33

shadow monetary base. Now, one of the

8:36

things I think to differentiate

8:38

uh maybe the world of maybe what we

8:40

we're saying is if you go back pre-GFC,

8:44

um the sort of credit occurring markets

8:46

or the an analysis of what went wrong in

8:48

the GFC was that there was generally a

8:51

lack of safe assets. Now, you know, I

8:54

there's some truth in that. In other

8:56

words, there was there were insufficient

8:58

um

8:59

Treasuries or good quality

9:01

uh bonds in financial systems to act as

9:04

cushions. That may or may not have been

9:06

true, but what we're looking at now is a

9:08

situation where it's not so much the

9:10

pool of collateral that is important.

9:12

It's actually the collateral multiplier.

9:14

In other words, how effectively that

9:17

collateral can be used, and whether

9:19

there is the balance sheet capacity in

9:21

the system to basically move that

9:23

collateral uh into uh cr- if make it

9:26

into credit, and if you like, sort of

9:29

make it usable within within the

9:31

financial sector. So, it's really a

9:33

question of, you know, looking at the

9:34

efficiency uh or the efficacy with which

9:37

collateral is used is a really important

9:39

thing. And that's why I developed that

9:41

thing we discussed the ratio there,

9:43

which is the collateral multiple out

9:44

between that shadow monetary base and

9:46

global liquidity. That ratio tends to

9:48

change and I'll come on to explaining a

9:50

bit later why it changes and why we've

9:52

got to look in certain down maybe

9:54

different rabbit holes. Now, if you come

9:57

to this chart, which again is a

9:59

schematic, but it maybe helps the

10:00

education of what's going on, is this is

10:03

the modern financial system. And this is

10:05

how the system has evolved certainly

10:06

since the GFC. What you have at the

10:09

heart of the system is a debt liquidity

10:12

nexus. And that basically says that

10:15

liquidity requires debt and debt

10:17

requires liquidity. And that is really

10:21

the anchor of financial stability.

10:23

In other words, what you need is

10:25

stability between the amount of debt and

10:28

the amount of liquidity. So, let's call

10:30

it a stable debt liquidity ratio.

10:33

Now,

10:34

why does debt need liquidity? Debt needs

10:37

liquidity for refinancing. And the

10:39

reason for that is that the bulk of

10:41

transactions, something like three

10:43

quarters,

10:44

maybe more of all transactions, primary

10:46

transactions in global financial

10:48

markets, are debt refinancing

10:50

transactions. So, the key point here is

10:52

that the amount of new money raising,

10:55

or sensibly for capex or whatever

10:58

fund new funds are used for, this

11:00

doesn't really happen anymore.

11:02

Uh you know, financial markets in the

11:03

West are mature.

11:05

They're not They're not raising new

11:07

money for capex. What they're

11:08

principally doing is rolling over

11:10

existing debt. And there is a lot of

11:13

debt, as you will agree. And that debt

11:15

is issued by the finance finance term

11:17

finance term, and it needs to be rolled

11:20

over

11:21

or refinanced periodically, probably

11:23

with a maturity of average maturity of

11:25

about five or six years. So, you get

11:27

this continual debt roll. Now, the other

11:30

thing is that

11:31

liquidity needs debt because as we

11:34

argued in the previous slide

11:36

liquidity needs collateral. It's

11:38

collateralized lending. The repo markets

11:40

are re-central to funding. And you need

11:44

paradoxically um

11:46

liquidity needs paradoxically good

11:48

quality debt to sit upon. So you simply

11:52

can't default debt because that would

11:54

just wreck the whole credit system. So

11:56

what you've got to do is to basically

11:57

nurture debt and make sure the debt

11:59

markets the collateral markets are

12:00

stable. So this debt liquidity nexus is

12:03

key.

12:04

If you cannot um

12:06

essentially turn

12:08

debt into liquidity you get a problem in

12:11

the repo collateral markets on the left.

12:13

And you can see that in terms of the

12:15

move or the move index of bond

12:18

volatility or sofa spreads which are the

12:21

measure of market rates on repo versus

12:24

what the Fed is is signaling through

12:26

either Fed funds or interest rate on

12:29

overnight uh reserve balances. Something

12:31

like 77% or accurately 77% because the

12:35

World Bank figure of all global lending

12:38

that was collateral backed. That

12:39

includes real estate deals but it also

12:41

predominantly uh

12:43

also includes US Treasuries or German

12:45

bonds as collateral for lending. So if

12:48

you see that leg breaking down you'll

12:51

get the move index or the sofa's move

12:53

index spiking or sofa spreads breaking.

12:55

On the other side if you've got a

12:57

problem on refinancing you can't

12:59

essentially refinance debt where you're

13:01

going to get problems you're going to

13:02

get problems in term premia. Term premia

13:04

will start to collapse or you start to

13:06

see credit spreads uh beginning to blow

13:09

out. So those are the things to watch.

13:10

Now

13:12

this is the ratio and this is

13:14

um my long-winded answer to your uh your

13:16

question. Um this is basically saying

13:19

look here is the ratio of debt to

13:21

liquidity

13:22

um across the advanced economies.

13:25

And if you look use this particular

13:27

lens, I think it explains an awful lot

13:30

about what's going on in terms of

13:32

markets, and it also will explain, if we

13:35

have time to go on to this, what's going

13:36

on in China right now. And what this is

13:38

basically illustrating is that when the

13:41

debt liquidity ratio gets too high,

13:44

you'll start to see tensions,

13:46

refinancing tensions, and policy makers

13:48

will come in, and they'll start throwing

13:50

liquidity at the system, okay?

13:52

And they'll try and stave off a

13:55

financial crisis, but you'll notice that

13:57

financial crises tend to occur around

13:59

the peaks in that ratio. So, this is all

14:02

about the debt liquidity

14:04

ratio spinning out of control. On the

14:07

downside, if there is too much liquidity

14:10

relative to debt, what is the vent? The

14:13

vent is asset bubbles,

14:15

and you can see those examples that I've

14:16

illustrated.

14:18

We've just come through what, you know,

14:20

I loosely call the everything bubble.

14:23

Maybe that's the correct, you know,

14:25

label for it, but you'll see that after

14:28

that everything bubble,

14:29

the orange line, which is shown as

14:31

projection for the next

14:33

four, five years, basically goes from

14:36

from

14:37

the bottom of the chart towards the top,

14:39

and crosses the threshold of 200%, and

14:43

that is the danger area we're moving

14:45

into. It may not be hit in 2026, but

14:48

clearly on this extrapolation, we're

14:50

getting up there in the next four to

14:52

five years, and that's when you start to

14:54

get problems. In other words,

14:55

refinancing problems. Now, what are the

14:58

two issues that we're facing?

15:01

Number one is

15:03

something we've already touched on, but

15:05

liquidity tends to be cyclical, whereas

15:07

debt growth is exponential, and that is

15:10

not a happy marriage, because if you

15:12

start to see liquidity turning down, as

15:14

we're seeing now, you're only going to

15:16

get more and more pressure

15:18

for refinancing

15:20

in the markets, and that maybe is what

15:22

we see. But, the other problem that it

15:24

exists goes back to the COVID crisis,

15:27

and that is best illustrated here with

15:29

something called the debt maturity wall.

15:31

Now, one of the things that policy

15:32

makers came up with during the COVID

15:35

time was the brilliant, tongue-in-cheek

15:38

comment, or cynical comment, of zero

15:40

interest rates. Now, zero interest rates

15:43

may well have fulfilled a a short-term

15:45

policy imperative, but the problem is

15:48

that what it does is it incentivizes

15:50

debt. And, not only incentivizes the

15:53

take-up of debt, but it also encourages

15:55

existing borrowers to term out their

15:58

debt, refinance it, and basically put it

16:01

out maybe 5 years into the future. And,

16:04

that's what happened during the COVID

16:05

period. And, if you look at this chart,

16:07

the orange bars are the actual data

16:09

points

16:10

annually for showing the change in the

16:13

amounts of debt

16:15

that needs to be refinanced every year.

16:18

Now, what you'll see during those COVID

16:20

years is because the debt was termed

16:22

out, it wasn't refinanced. It was issued

16:25

as as new debt, and it basically is

16:27

coming back into the system in the later

16:30

part of the 2020s, shown by that red

16:33

area. So, what you see here is a debt

16:35

maturity wall which is facing us. In

16:38

other words, there are a lot there are

16:39

many, many more,

16:41

you know,

16:42

debts to roll over in coming years. And,

16:45

let me stress, this is coming on top of

16:48

all the new debt that may be issued for

16:50

government spending, you know, the big

16:52

deficit. It's coming on top of the AI

16:55

issuance, etc. These are big numbers.

16:58

So, the strain on financial markets is

17:00

beginning to tell. And, that means we've

17:02

got to start monitoring very closely

17:05

what is happening in the repo collateral

17:08

markets, which we can turn to next.

17:11

>> And, this is mechanistic. This is just a

17:13

consequence of the term of of debt. This

17:16

is not a a market-driven

17:18

uh spike that you see. This is literally

17:20

just the the internal debt dynamics and

17:22

the necessity of this maturity uh yield.

17:26

>> Correct. Absolutely correct. Yeah, I

17:28

mean, this is this is just an echo

17:30

effect, if you like, of the COVID crisis

17:32

coming back.

17:33

>> Before you go, that was just the

17:35

preview. The full conversation goes much

17:38

deeper, what's really driving markets,

17:40

where the risks are, and how the best

17:42

investors are positioning. That's what

17:45

we do at Real Vision. We connect the

17:46

dots before they become obvious. So,

17:48

don't stop here. Watch the full episode

17:50

now and more on Real Vision.

Interactive Summary

In this episode, Michael Howell of GL Indexes explains his firm's framework for analyzing market behavior, which is centered on the global liquidity cycle. Howell argues that liquidity flows drive financial markets, which in turn drive the real economy. He discusses the current state of this cycle, highlighting a 65-month pattern and emphasizing the growing risks posed by an impending 'debt maturity wall' and an increasing debt-to-liquidity ratio that could lead to financial instability in the coming years.

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