1/25 The GraphCall Credit quality vs spread metric
Watching the consumer delinquencies rise is worrying but it is not per se at a very high record (although some adjustments in those calculations are coming and BNPL have data silo issues)....
Are the credit spreads reflecting that properly?
2/25
Those are the credit spreads
3/25
RATIONALE:
In other words if the consumer delinquencies are low but the credit spreads are low it sounds rather rational.
If the delinquencies are high but the credit spreads are ALSO high then there it also sounds rather rational
4/25
OVERSHOOTING HIGH:
If the delinquencies (a) are high but the credit spreads are tight (b), then it gives a high number.
It means irrationally bidding for garbage.
and that is a sell.
Because the (credit spreads are too tight vs credit quality)
5/25
OVERSHOOTING LOW:
If the delinquencies (a) are low but the credit spreads are very high (b);
It gives a low number and that’s a buy (spreads too wide vs credit quality)
6/25
RESULT EXPECTED?
7/25
ACTUAL RESULTS:
Alright so let’s see if this simple logical approach has any echo in past situations so we take the consumer delinquencies and we subtract the credit spread.
It worked 6 times out of 7.
8/25
The first instance (one red) fails miserably it indicates a high in Q3 1997, maybe that's why Druck got short too early?
9/25
The Bottom on Q4 2002 was quite good however (1 green)
10/25
The second peak (2 red) ?
11/25
Awesome Q2 2007. Works great.
12/25
Second Bottom? Q4 2008
13/25
Great
The bottom are in sync not delayed, it’s bottoming in Q4 2008
14/25
The intermediary bottom in 3 is Q4 2011
15/25
Works
16/25
The intermediary bottom 4 is in Q1 2016
17/25
Works
18/25
The next bottom 5 is Q2 2020
19/25
It is slightly late, by a few months
20/25
But where are we now?
We are in TOP 3 and reversion.
21/25
Interpretation:
The high points mean this: The credit quality is not great (relatively high deliquency) yet the markets overshoot in overbidding bad credit, mispricing bad credit.
22/25
If you pay too much for bad credit you will make losses. That’s the area in red
23/25
As the losses materialize people ask for more spread in relation to delinquencies which makes matter worse actually, they continue until they overshoot asking too much spread vs credit quality and then that’s your bottom . Green part
24/25
And we note that some bank like WFC reducing exposure on consumer lending, PNC reducing, USB selling and JPM freezing at telling you. They talking about spread compression at WFC to explain why they reduced the balances.
25/25
They simply say what is on the chart in red. We are not compensated for the quality. (what Gundlach also said). We have peaked in Q4 2024
Jamie Dimon sold his shares in Feb 2025. He knows one or two things about banking.
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1/25 ABOUT, COCOA, ORANGE JUICE, SILVER and HUME & THORNTON
What we saw recently with cocoa, Coffee and now Silver is a classic rotational spike&correct. As Thornton writes in 1804, citing Hume
2/25 But that is the second phase in fact the first phase is “exciting industry” aka TINA .
3/25 Thornton explains the first stimulative phase in several ways.
First the timing.
It is between the time of the issuance of money and the phase II when the money chases the commodities. HINT: we are post TINA and in the commo ramp phase.
1/19 In the last couple of days a striking observation was relayed by various Fintwit accounts.
A combination of productivity gains and stagnant real wages
2/ Coupled with some dissavings
4/ In principle productivity gains should translate into higher real income and potentially higher savings.
That’s the Solow neoclassical model.,
1 - Productivity ↑
2 - Marginal product of labor ↑
3 - Real wages ↑
4 - Disposable income ↑
5 - Consumption ↑ and savings ↑
1/ ABOUT THE USE OF SILVER vs COPPER IN SOLAR PANEL,
LONGi SWITCHING,
AND THE DIFFERENTIAL PROCESS OF SOLAR PANEL COSTS
(falling PV energy to produce PV in a feedback loop)
What would be the impact for Solar Panels manufacturers of switching from Silver to base metals?
2/ Most current research and industrial sources discuss that switching to copper would result in 0.8%-1% loss in conversion (e.g., copper-metallized cells can be within ~1% efficiency of silver-based ones).:
Copper-metallised cells are within ~1% efficiency of silver counterparts — TNO / international research: tno.nl/en/newsroom/20…tno.nl/nl
In that research, fully copper-metallised cells had slightly lower efficiency (e.g., ~23.08% vs 23.79% for silver), indicating about 0.7% — 0.8%+ efficiency difference in some test cases.
3/ LONGi announced that it is switching from silver to base metals
LONGi officially announced that it will begin replacing silver with base metals (like copper) in its solar cell production — beginning mass production in Q2 2026 to lower costs amid rising silver prices:
China’s Longi joins solar push to cut costs by using less silver (Mining.com)
1/16
STRUCTURED REASONING ON OIL DEMAND FOR 2026 AND BEYOND
a.
2023-2024 LOWEST GROWTH IN OIL DEMAND OUTSIDE OF A RECESSION
b.
DEMAND FOR ROAD TRANSPORTATION WAS THE DRIVER OF TOTAL GROWTH IN OIL DEMAND BUT IS NOW FLAT
c.
A STRUCTURAL SHIFT : OIL DEMAND GROWTH WAS BEFORE DOMINATED BY GROUND TRANSPORTATION
d.
TRUCKS WERE DRIVING OIL DEMAND WITHIN THE TOTAL GROUND TRANSPORATION, BUT THE SHARE OF TRUCK IN $OIL DEMAND IS UNDER ATTACK
e.
CHINA TRUCKS : TRANSPORTATION WENT FROM THE MAIN DRIVER OF OIL GROWTH TO NEUTRAL:
f.
EUROPEAN OEMs ON SHARE OF EV IN TRUCK SALES BY 2030: 50-60%
g.
TRUCKS IN INDIA
h.
VERY LARGE IMPACT FROM E-BIKES
i.
CONCLUSION: LOOKING INTO 2026 AND BEYOND
2/16 DEMAND FOR ROAD TRANSPORTATION WAS THE DRIVER OF TOTAL GROWTH IN OIL DEMAND BUT IS NOW FLAT
In 2024, chemical feedstocks & aviation each accounted for around half of oil demand growth in energy terms (in volumetric terms, the share of feedstocks was higher, at around 70%).
3/16
After rebounding strongly following the end of Covid-19 lockdowns in many countries, growth in oil demand from the road transport sector has slowed markedly in recent years.
1/8 Blackwell Party Crash:
Interconnects will "Poof" NVIDIA's Premium
Everyone excited about Blackwell? 🎉
PARTY CRASHING
inefficient
Like each chip guzzles up to 1kW but with horrendous scalability limits due to crappy interconnects.
PARTY CRASHER?
MicroLED interconnection
2/8 The Bottlenecks in AI Scaling: Interconnection (Copper vs. Laser)
Let's see...
COPPER
Result you cram a few very good architecture chips in a box connected with cooper wires(that’s the Blackwell situation today)
OR...
3/8 You do brute force scaling like the Huawei cluster with options?
It comes at a Huuuuuge interconnect energy cost (laser are very power hungry)
In classical economics the bust is often attributed by the British writers to “overtrade”, and this is often magnified by excessively loose monetary policy. But it can happen without excessive loose monetary or fiscal policy... archives 👇
3/10
You can spot that in the writings from Thomas Tooke in 1826 about the BoE buying some exchequer bills in 1823 repressing rates and creating an overtrade situation in the mining scheme in Central and South America culminating with the “poyais” fictitious country.