I am genuinely confused when someone(s) that write books on stoicism, meditation, kindness, etc … have really emotional, visceral reactions to politics. I have so many questions.
Complexity on the other side of complexity
$BX $APO $CG $KKR $OWL
Whilst these deals may make sense on paper they reflexively increase mkt perception of the Alts being financing mechanisms to the Ai capex buildout, and so expect the stocks to be a pain point in any AI capex bust / slowdown.
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One thing I was just thinking about was how I am a big fan of applying Kegans work on adult development to investing.
If you apply to AI
Stage I - socialized mind - there is now a wide and deep set of beliefs on AI. If you get your opinions from listening to others opinions you will contribute to volatility and probably do very badly at this stage.
Stage II - self authoring mind - you will have been early and right but the limitation to the self authoring mind is, rather than seeing AI as a chessboard you are playing, you see yourself as an integral piece in the game. This is particularly apparent in AI. You may not objectivity see some of the moves because you are so subjectively imbedded in the game. You will do well if you have staying power but you will endure a lot of volatility
Stage III - self transforming mind - you are truly playing the game not watching others play and not making yourself a part of the game. Self transforming minds will do better in this part of the cycle. Self authoring minds can really make the leap to self transforming in these kinds of cycles if they can step back and really look at the game and see if they are too close and need some distance and perspective.
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I think this recent volatility continues to reflect the misalignment in the product cycle and the capital cycle. The product cycle itself has gotten more complex not simpler due to the continued presence of multiple competing products and the shifting relevance of open and closed models. The capital cycle is adding complexity on the other side of complexity proving two things can be true. The market can be structurally under supplied compute/infra but the capital complexity to finance the build may be over extended and overly complicated. I observe a lot of frustration about this dynamic. If you are super bullish long term this should be great. I think the issue is people are more bullish about the economics caused by the under supply than perhaps their bullishness on the underlying unit economics of the products on the other side of the shortages. The frustration is driven by not getting/keeping a sustained multiple now on the current economics reflexively driven by the supply/demand imbalance. I wont pretend to know what’s going to happen to alleviate supply or not, or what the economics of the models will look like depending on the slope of supply. I just know this kind of uncertainty usually leads to volatility because the market hates uncertainty more than anything. That means being nimble. Just when you think there is a clear trend, something else will change and make you re-think everything you believe today.
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I think this recent volatility continues to reflect the misalignment in the product cycle and the capital cycle. The product cycle itself has gotten more complex not simpler due to the continued presence of multiple competing products and the shifting relevance of open and closed models. The capital cycle is adding complexity on the other side of complexity proving two things can be true. The market can be structurally under supplied compute/infra but the capital complexity to finance the build may be over extended and overly complicated. I observe a lot of frustration about this dynamic. If you are super bullish long term this should be great. I think the issue is people are more bullish about the economics caused by the under supply than perhaps their bullishness on the underlying unit economics of the products on the other side of the shortages. The frustration is driven by not getting/keeping a sustained multiple now on the current economics reflexively driven by the supply/demand imbalance. I wont pretend to know what’s going to happen to alleviate supply or not, or what the economics of the models will look like depending on the slope of supply. I just know this kind of uncertainty usually leads to volatility because the market hates uncertainty more than anything. That means being nimble. Just when you think there is a clear trend, something else will change and make you re-think everything you believe today.
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The equity market has had a fifteen year tailwind of declining capital intensity, lower cost of debt, and higher margins fueling a debt and fcf driven equity shrink support to eps and multiples.
There is a generation of investors now that have not had to think much about capital intensity, capital cycles, return on capital, tightening liquidity.
Everyone is in agreement that AI is the most important thing. And AI can dramatically dwarf the capital cycle but the point is that this isn’t just about AI it’s AI vs the capital cycle. And the capital cycle can lose and the market can be fine. But if the capital cycle wins the equity market resets. The right tail is limited and somewhat reflexive based on whether AI would be purely additive or substitutive. The belly of the distribution curve of outcomes seems normal and the left tail seems increasingly fatter.
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Management meetings/field research is more important than ever. Assume 75% of the work you do at your desk for 8-12 hours a day will be done better by agents running 24/7. Being on the road more should be part of the job description for analysts.
Model build tests as a screen to hire analysts will eventually go away and perhaps be replaced with mock management interviews or mock information synthesis.
Being a nob in shared meetings, sabotaging yourself and those you share with will become fatal.
Every possible input into the numbers inside one of the three financial statements – product, sales, distribution, input costs, discretionary opex, balance sheet utilization, capital allocation, etc , etc, etc . . . . seemingly always fall into one of two buckets.
1.) Things within management’s control.
and
2.) Things outside their control.
When given the opportunity to meet with company executives, it’s almost always more productive, when faced with limited time, to ask specifically about things they control. There are certain questions only management can answer. Ask those questions first. Too much time in management meetings is spent asking execs to speculate on short term things outside of their control.
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This is irrelevant in determining whether it’s a stock picking market.
This isn’t perfect either but it’s closer
This isn’t a stock picker’s market. If you just sat in the passive market index, you did fine/well. Stock pickers, who spent lots of time analyzing the stocks they picked, are understandably upset that all that analysis was for naught and doing nothing won. Isn’t that efficiency?
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The l/s hedge fund industry is at another strategic crossroads.
Jones model SMs had all the capital and all the talent for a long time. That density of talent drove spinoffs/startups. The industry was at equilibrium.
Then SMs had more capital than talent.
MMs created more GMV via leverage available for talent and opened more supply of seats for talent. But unlike SMs, the MMs prescribe more precisely the unit of production required to be successful.
Today SMs have an uneven distribution of talent and capital across SM funds, there is a generation of 40+ talented something’s wondering where or whether they can find a seat to express their knowledge/leverage their experience and MMs have more people than ever with more capital than ever trying to produce the same unit of production.
Inject AI as a variable into this equation and the complexity increases.
Hybrids have a huge competitive advantage currently but that’s also got cyclical and secular elements.
I think the market and LPs would benefit from a new type of fund or strategy that connects talent and capital differently. But does so efficiently. Either SMs and MMs can seize this opportunity, but requires both to disrupt their old models. LPs can also fund something new that does things differently.
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Weird dynamic right now. Simultaneously some people I know seem way too bearish and some seem way too bullish. Most likely scenario now feels like we land in the middle and nobody is happy.
I grew up observing generosity to be quiet and unspoken. If there was a big school or church event and not all families could afford to attend, a family or two would quietly pay for those families and the school would quietly let them know not to worry about the cost of the event please just attend.
Today if families can’t afford an event, a committee gets assembled, debates whether the event should even happen, then decides that if it is going to happen, all other families must submit an equal share of the cost to the committee who will present all collected money to the families so they can have the money to pay themselves.
What are we doing.
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Good Will Hunting GPU Edition
Ep. 2: My Boy's Wicked Smaht
You have to match the personality of the analyst with the industry they cover.
Let’s say you have a stock earning $1 in 2026 with consensus at $1.20 in 2027 and $1.35 in 2028.
Analyst A does work and says I think 2028 can be $2
Analyst B does work and says I think 2028 can be $1.50
As 2027 unfolds, analyst B gets more bullish and raises their 28 estimate to $1.60. Analyst A gets a little more realistic and tightens their number to $1.80. This happens after the stock was already up 50 and it was full size for analyst A and half size for analyst B.
Ultimately the stock is up 2.5x between mid 26 and early 28 and ends up printing $1.70. The stock traded at $20 or 20x $1 and now trades at 30x $1.70.
Analyst A went from $2 to 1.80 to 1.70. Analyst B went from 1.50 to 1.60 to 1.70.
Which one would you rather have covering the stock? In the beginning you want Analyst A and in the end you want Analyst B. It’s the PMs job to possess the skills of both even if only one of them is covering the stock for you.
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I think if an analyst “gets it” and can really see the thesis but just models too conservatively you have to teach them how to make them see that if their narrative is right their numbers will be wrong and to size it correctly the numbers have to match the narrative. If their numbers are right and they just don’t want to take risk tell them that’s fine you won’t pay them or penalize them on the money made or less. You will keep it all. If they are timid in another way it might be more of a red flag that they’re not gonna make it.
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I think if an analyst “gets it” and can really see the thesis but just models too conservatively you have to teach them how to make them see that if their narrative is right their numbers will be wrong and to size it correctly the numbers have to match the narrative. If their numbers are right and they just don’t want to take risk tell them that’s fine you won’t pay them or penalize them on the money made or less. You will keep it all. If they are timid in another way it might be more of a red flag that they’re not gonna make it.
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I think if an analyst “gets it” and can really see the thesis but just models too conservatively you have to teach them how to make them see that if their narrative is right their numbers will be wrong and to size it correctly the numbers have to match the narrative. If their numbers are right and they just don’t want to take risk tell them that’s fine you won’t pay them or penalize them on the money made or less. You will keep it all. If they are timid in another way it might be more of a red flag that they’re not gonna make it.
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This is actually a really important point. I think part of the apprenticeship that comes from mentoring a junior is to model for them clarity of thought and precision of word. Everyone will have their own way of teaching that but the goal is to chip away at the hubris to figure out if they dont know what they are talking about or if they just dont know how to communicate their ideas. Very few juniors are going to be able to synthesize their thoughts and communicate succinctly. Most arrogance in this realm is based on an insecure belief thats how you demonstrate conviction. A very candid dismantling of that superficial view is required for them to begin to learn to do it properly.
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Most juniors are either too confident or too timid. If someone is too confident and they express that confidence with adjectives, respond with questions that can only be answered with #
s#. If the problem is the overconfidence is in the magnitude of the # differentials then attack the assumptions behind the #
s#. I reject the premise that a junior can ever control a narrative. When someone is feeling too good about themselves, knock them down. When someone is feeling too badly about themselves, pick them up.
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Most juniors are either too confident or too timid. If someone is too confident and they express that confidence with adjectives, respond with questions that can only be answered with #
s#. If the problem is the overconfidence is in the magnitude of the # differentials then attack the assumptions behind the #
s#. I reject the premise that a junior can ever control a narrative. When someone is feeling too good about themselves, knock them down. When someone is feeling too badly about themselves, pick them up.
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Really enjoyed this pod.
@DavidGeorge83 has a way to be rationally and pragmatically bullish about growth without needing to be overly hyperbolic.
Start with the undeniable fact that the core unit of production of a l/s hedge fund is l/s spread.
Everything else is opinion but that is fact.
There are two types of spread you can capture - intra sector or inter sector.
If you care most about idio footprint you are dialed into intra sector spread. If you try to capture spread in a kelly green sector you will almost assuredly lose a lot of absolute dollars on your shorts and get squeezed most on yellow to green or darkening green shifts. If you try to capture spread in amber red, you get the point. Pretending every sector is always yellow and always prime for spread is a fallacy. The first step is to decide if the sector is yellow and if so then hunt for spread.
Accepting exposure to non fundamental risks is required to capture the most abundant spread - the inter sector spread. The best way to capture that spread is to identify the color of every sector and what the second derivative change in colors is, either absolute or just the changing intensity of color.
A portfolio should have a few longs and shorts perfectly balanced in yellow sectors and several longs along a continuum of lessening red to darkening green sectors, and the opposite for shorts.
At times you will also have great shorts in dark green sectors as an obvious loser emerges and sometimes a great long in an obvious darkening red sector. But that is less abundant.
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My most strongly held investing belief is the way to make the most money is to capture the best long idea in the best accelerating sectors/categories and the inverse for shorts. Sounds obvious but requires real structure and process.
My joke with LPs, sell side analysts, teammates, basically whoever will listen for almost three decades has been I wish I had a killer application that monitored, real time, all information collected by the best sector experts ingested into a shared brain, compiled and analyzed by what I think is most important and then visualized real time with a color coded labeling system flashing green, yellow or red delivered via a web based app like a Bloomberg screen. I’d call it the CIO Brain. There would be 3 columns. Consensus in print, Consensus in chatter and Inside view.
The cynical response to this is bruh that’s just a revisions visual. But it’s not. Some information moves numbers and some moves multiple. Muse is multiple moving for Meta waaaay before it can be quantified in numbers. Getting in front of the multiple move ahead of the number move is where more money lives nowadays than ever before.
If someone builds this no need to send me royalty checks, just send me sign in credentials.
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My most strongly held investing belief is the way to make the most money is to capture the best long idea in the best accelerating sectors/categories and the inverse for shorts. Sounds obvious but requires real structure and process.
My joke with LPs, sell side analysts, teammates, basically whoever will listen for almost three decades has been I wish I had a killer application that monitored, real time, all information collected by the best sector experts ingested into a shared brain, compiled and analyzed by what I think is most important and then visualized real time with a color coded labeling system flashing green, yellow or red delivered via a web based app like a Bloomberg screen. I’d call it the CIO Brain. There would be 3 columns. Consensus in print, Consensus in chatter and Inside view.
The cynical response to this is bruh that’s just a revisions visual. But it’s not. Some information moves numbers and some moves multiple. Muse is multiple moving for Meta waaaay before it can be quantified in numbers. Getting in front of the multiple move ahead of the number move is where more money lives nowadays than ever before.
If someone builds this no need to send me royalty checks, just send me sign in credentials.
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I would also highly recommend starting with a sector that changes slowly not quickly.
I strongly strongly recommend being a serial specialist which means become a generalist one sector at a time not one stock at a time and the way you determine the next sector to learn is by its adjacency to the last sector you learned
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I strongly strongly recommend being a serial specialist which means become a generalist one sector at a time not one stock at a time and the way you determine the next sector to learn is by its adjacency to the last sector you learned
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@pmje73 Would you apply this logic to developing expertise in one sector at a time or multiple sectors simultaneously ?
Would you reccomend getting started as a generalist or specialist ?