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jbcarioca thoughts on investment management

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jbcarioca

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A few people seem curious so I have made this threads to contain a summary of how I came to my investment process. I may share a handful of my past decisions along the way. My learning process has included a couple of spectacular timing errors, a few really idiotic choices and some that have worked out very well.

Many of the events and decisions that have been most relevant I cannot disclose due to client confidentiality. Depending on interest and time I may attempt to find out how to disclose more.

Please let me know if this is useful.
 
OK, I'll begin making a summary. It will be long with a bunch of references so I'll make a new thread. Anyway, interested people really should read G&D, B&S and the LTCM saga. Some of that is pretty technical.
Frankly my biggest problem in doing so is the way to describe my process in evaluating new technology adoption.
Given Tesla is only able to be evaluated when considering technology adoption processes, I should link some books that have driven my thought process:

https://www.amazon.com/Quark-Jaguar-Adventures-Simple-Complex/dp/0805072535
https://www.amazon.com/Diffusion-Innovations-5th-Everett-Rogers-ebook/dp/B000FC0NH8

Oxford Textbook of Infectious Disease Control: A Geographical Analysis from Medieval Quarantine to Global Eradication - Oxford Medicine
These two could not be more different, I suppose, but they together helped me understand new technology diffusion.
The definitive key for me came later, from epidemiology. (One more weirdness. My first professional job was as an epidemiologist for the US Public Health Service. Eventually I came to the realization that the spread of infectious disease and the spread of new technology are structurally similar.) Murray Gell-Mann brought the realization that the attraction, repulsion and form change are fundamental to the universe, whereupon the mundane Iowa Rogers revolution brought all that diverse theory down to earth in a simple, clear basic idea. Once I compared a precursor of the Oxford Textbook with Rogers I came to see how all these disparate pieces describe a logical investment notion.

Fundamentally, a completely new product category requires a number of common attributes. Thinking about initial adoption, carrying, propagating, supporting and further propagation...Suddenly it seemed to me that it is very possible to understand the differences between early adoption and other stages, as well as the possible impediments to growth or even extinction.

Frankly this stuff is sufficiently arcane and implausible that I have used parts of it with clients, but mostly have limited it to my own investment decisions, primarily for my own portfolio.
 
copied from my earlier post:
Very good questions. I use the P/S ONLY to set price goals and reset levels.

All the other factors are part of my initial evaluation and periodic review. For every investment I own and/or manage I do a review every quarter when financial reports or other material information becomes available. I do have a tiny handful of 'measures of merit' that I always evaluate. Whenever one of those measures departs from my expectations that triggers deeper analysis. If everything seems as expected I usually make only a cursory review.

Just now I am tempted to describe my entire investment analysis approach. That will go pretty far OT. If anybody thinks such would be helpful I can think about it.
Factually it goes back to basic commercial credit risk analysis I learned when taught factoring/forfait financing (usually with minimal financial statements), bonded warehousing, auto dealer financing in the Middle east and other such bizarre things. It then goes to Benjamin Graham.
Security Analysis (book) - Wikipedia
I admit that I learned almost everything I know about securities at Columbia Business School, so was deeply indoctrinated in Graham & Dodd and, later Black and Scholes. In my opinion anybody seriously interested in securities investment should study both. I strongly recommend learning the origins and structure fo the Black and Scholes work:
http://www.columbia.edu/~mh2078/FoundationsFE/BlackScholes.pdf

A quick glance at my link makes it clear that this approach is deeply analytical. Unless one understands this quite well one is doomed to mystical perspective about securities market volatility. Understanding this model brings an acute recognition of it's inherent risks. Anybody who wants to play with this subject needs to understand this also:
https://www.amazon.com/When-Genius-Failed-Long-Term-Management/dp/0375758259/ref=sr_1_1?keywords=when+genius+failed&qid=1580909871&sr=8-1

Why do I suggest the infamous LTCM affair? Partly because Myron Scholes was a principal player.
Bluntly no predictive model ever works outside the specified boundary conditions!

Sorry for this seeming digression. Right now, in the midst of market euphoria, people are rushing to find arcane explanations and analogous situations. These do not really exist. The political, economic and environmental conditions of today have never before existed. These 'boundary conditions' are so violently departing from any post-World War II norms that we can only guess what will happen next. Nobody knows.

In this environment I resort to fundamentals. Without describing my endless machinations I only state my conclusion:

TSLA is almost my least risky investment. I absolutely expect volatility to continue, and a huge drop will happen. I refuse to try to time anything. I am long, will stay long, will continue to analyze the options markets and will continue to not actually participate in those markets with my money.

I debated about posting my interminable analysis and decided to maintain my anonymity.

Note: I admit I was scarred by LTCM and the aftermath. I participated in the post-mortem and worked on the merger/acquisition integration of more than one of the corpses. I spent decades helping develop and deploy stochastic models for financial decisions. They are exceedingly useful.
Note 2: In my opinion retail investors who play with futures/options are almost always doomed to lose. There is much too much semi-proprietary information for any individual to consistently win. It is very much like a casino game that has skill components. The house always wins in the end.
Note 3: Some of my professional and personal friends seem to disagree with my Note 2. Not coincidently, such friends are on the sell side.
 
All the other factors are part of my initial evaluation and periodic review. For every investment I own and/or manage I do a review every quarter when financial reports or other material information becomes available. I do have a tiny handful of 'measures of merit' that I always evaluate. Whenever one of those measures departs from my expectations that triggers deeper analysis. If everything seems as expected I usually make only a cursory review.

I’m always interested to hear other investment perspectives. This segment has me curious - what courses of action might you consider after a deeper analysis? Presumably selling everything is on the table, but would be hard to have the strength of will to abandon your prior thesis I imagine.

Has Tesla’s results ever required a deeper analysis?
 
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Over the years I have sold totally my positions in former favorites that showed negative outlook after review. That included some serious favorites at the time. Examples include some wise choices and not-so-wise. There were three really influential choices I made:
Xerox- sold in 2000 as the PARC role waned and Richard Thoman came in and promptly alienated the sales force and Fuji. His successor, Anne Mulcahy, turned it around but I had sold. That was an excellent long run.
Vepco- perhaps my stupidest ever move, the relic of my 1960's teen age fascination with nuclear power (I actually got a rich scholarship to study nuclear engineering but luckily decided otherwise-for poor reasons, truthfully). Soon after I began to revise my techniques.
Honda- bought when I knew nothing except that the S600 I owned in Thailand was spectacular. I thought that if their first car was like that they'd do great things. I had zero understanding of anything at all. That one I sold to fund graduate school. While in graduate school I began to learn how much that had in common with other innovators.

The last two helped me understand that enthusiasm and even knowledge was no substitute for sound analytics, which made me sell the first one actually. Eventually I learned to combine technology, finance, marketing and social psychology, influenced by this:
https://www.amazon.com/Extraordinar...d+the+madness+of+crowds&qid=1580995034&sr=8-1

Published in 1841 it was included in a social psychology course I had during my first graduate school stint (bizarrely I did an MA in Social Psychology along the early years). That helped me to understand a bit better how the hula hoop worked, and how the seemingly impossible can capture popular support.

A few years later when Honda happened I remembered. I actually met Soichiro Honda in Thailand, which at the time was their first manufacturing outside Japan, I think:
Soichiro Honda Biography: A Great History of Japanese Car Manufacturer

It took decades to make me recognize that he understood how important a sound marketing posture could be. At the time zero ads. He just made his team introduce non-Japanese to his products. Although I ended out buying one of the first S600's and they even changed the color for me, I only realized that I was explicitly targeted as a logical influencer of other sales. That worked. Now, faced with the 2020 version of that genius, I begin to understand Elon Musk as a "kindred spirit" of Honda. Honda was a major influence in helping me form my later ideas. Thus...

In the selling decision for TSLA unless I see huge advances in management maturity, if Elon were to exit I would sell.
OTOH, I look also at context so really am not so doctrinaire. Gwynne Shotwell would continue Space X without Musk.
She is quite analogous to Tim Cook, as a less flashy successor to a flamboyant public face.

My personal method for dealing with management succession is crucial to my decision to stay, sell or double down. I wish I could better explain how that works in my own evaluation. Fundamentally, any key person departing or joining triggers a reevaluation for me. Procedurally I do all I can do to provide due diligence on each major change. That does not translate to memorizing everything about them. It does mean I look as closely as possible at the personal support systems that key innovators have. In the case of Elon, he has gigantic mitigants to what would otherwise be disqualifying flights of strange behavior. Specifically his mother, brother and sister are all three active in his life, with Maye and Kimbal always seeming to be around at key moments.

Most securities analysts ignore that perspective, but they are major issues.
Citicorp decline began when John Reed began an affair with a Citicorp flight attendant, whom he later married.
Chase Manhattan Bank decline began seriously when the CEO's spouse died and the chosen successor himself died.
I was involved with both of those institutions when those events happened.
In the numerous cases of failure and/or decline I have witnessed, there were preceding management changes that seemed inconsequential from an investment perspective.

So, what triggers my serious reviews? Management change that I cannot explain satisfactorily.

That does mean I am poring over everything I can find about TSLA pretty constantly. It also means I am looking very hard to see anything problematical. With the Tesla growth rate and constant change there are always questions. Through it all a core support system for Tesla has always been around, in the Board itself, as well as among crucial senior management. I came very close to bailing when JB Straubel left, until I realized that he had successfully helped put in place an overwhelmingly competent group of people who knew more than he did (e.g. Dahn, Maxwell, Hibar) and with raw materials deals with Guafeng, Kidman and others. Those were not JB alone by far. They did show how well Tesla would do without him, further shown by supply agreements with Samsung, LG and CATL as well as Panasonic. All of that showed me that the critical need for JB had diminished.

In a special category is utility and commercial storage products. Had there been even a tiny glitch in these after JB left I would have been unnerved enough to reduce my exposure, maybe sell all.

Without endlessly poring over details, the evidence I tend to look for as management change risk is any slowing in the rate of new talent acquisition and new supplier arrangements. Everything from seat manufacturing, glass suppliers to new factory development demands constant attention. So, when I hear of problems in any given area I tend to look at how deeply Elon seems to be personally involved. Thus I came close to selling in early 2018.

Tesla has become increasingly stable, finance functions are clearly better than they have ever been, manufacturing is making outstanding progress, legal progress is already evident, and management depth is provably improving as evidenced by improving supply chain and logistics in every category, even parts availability and service.

All of those are indicators that always will give early warning of problems needing review.

Bluntly, that is why I rarely hold more than four securities at a time. Finally, diversification is what one does when one has no idea what one is doing. Diversification does not reduce risk, it allows ignorant people to depend on other ignorant people to diversify risk. Bollocks!

My personal practice is to accept volatility and avoid risk as much as possible.
 
I’m always interested to hear other investment perspectives. This segment has me curious - what courses of action might you consider after a deeper analysis? Presumably selling everything is on the table, but would be hard to have the strength of will to abandon your prior thesis I imagine.

Has Tesla’s results ever required a deeper analysis?
I hope I have answered these questions above but...
1. When I get new information that conflicts with my position I change my position. I am very humble about my positions in the event firm information conflicts with my views. That said, I am not humble at all about my ability and willingness to constantly evaluate my opinions. So I abandon my views the instant I know my opinion was wrong. Make no mistake, I hate that. I hate being wrong much more than I do changing my views.
2. Yes, I have, I hope , explained my 2018 and 2019 review triggers just above.
 
Wow, exciting. For me anyways. Someone actually posting link to a Black-Scholes math. I know it well. I don't want hijack the thread, but here's my short anecdotal contribution ( well rant really).

I entered Wall Street after graduate school in Applied Physics back in the mid-90's. There weren't any jobs in physics, so got entry level at a small firm there analyzing mortgage related assets.

What immediately struck me was all the math and elaborate models people constructed in an attempt to model derivatives based off the 'The Market'. I found a lot of it, well, simply unbelievable.

My thesis was on coupled arrays of lasers, which was taking a nice simple laser model, a couple of partial differential equations, and then coupling them together to build arrays to produce some interesting behaviors. It added new time constants to allow modulation well past laser's usual capabilities. But more notably, the coupled systems of simple non-linear equations would go unstable extremely easily. That is, true chaos emerged (in the mathematical system sense) even in the simplest 2-laser array. And that was without any kind of stochastic components adding noise to the system.

Then I get to Wall Street and they use relatively similar math for interest rate modeling and therefore derivative valuations. I found it incomprehensible. To an Applied Physics guy where the models had to be tested against real world, people were trading vast sums of money based off houses of cards. Maybe I'm just the guy in the trenches and don't see the bigger picture...

Even the very simplest core assumption of all these models, the arb-free forward rate condition made no sense to me. That is, if you finance a 1-year obligation today and refinance 1-year from now, that total net rate paid over the two years should equal today's 2-year rate. That implies any time there's an upwardly sloping yield curve, that the 'forward rates' (the 1-year rate 1-year from now) are always higher than current rates. And then to make interest forecasts "consistent" with today's rates, stochastic models are biased/fitted to that assumption. That means that the models assumed rates could on average go up in the future. But there's absolutely no correlation or implcation that an upwardly sloping yield curve means rates are probably going to go higher in the future. Its just used because it makes the math work and seems to be the best approach from a theoretical ivory tower pespective (sorry, the Applied background showing up).

The LTCM debacle was an attempt to use math to model and beat the market. But really, how is the market anything but a huge collection of non-linear dynamical systems (that is, truly chaotic) with a whole lot of exogenous stochastic inputs pushing it around top of it? Good luck with modeling that with simplistic (even if highly technical and specialized) math.

So yeah, as people on this forum know all to well, most of the people on "The Street" don't know nearly as much as they think they do. And they live a relatively closed, even incestuous and short-sighted system. But they do have a lot of power unfortunately.

Anyways, your approach of looking at the people involved and mixing in other real world considerations (tech adoption behaviors? something to go read about for sure) is definitely the way to go about it.

I hope I didn't hijack this too much. Apologies.
 
Wow, exciting. For me anyways. Someone actually posting link to a Black-Scholes math. I know it well. I don't want hijack the thread, but here's my short anecdotal contribution ( well rant really).

I entered Wall Street after graduate school in Applied Physics back in the mid-90's. There weren't any jobs in physics, so got entry level at a small firm there analyzing mortgage related assets.

What immediately struck me was all the math and elaborate models people constructed in an attempt to model derivatives based off the 'The Market'. I found a lot of it, well, simply unbelievable.

My thesis was on coupled arrays of lasers, which was taking a nice simple laser model, a couple of partial differential equations, and then coupling them together to build arrays to produce some interesting behaviors. It added new time constants to allow modulation well past laser's usual capabilities. But more notably, the coupled systems of simple non-linear equations would go unstable extremely easily. That is, true chaos emerged (in the mathematical system sense) even in the simplest 2-laser array. And that was without any kind of stochastic components adding noise to the system.

Then I get to Wall Street and they use relatively similar math for interest rate modeling and therefore derivative valuations. I found it incomprehensible. To an Applied Physics guy where the models had to be tested against real world, people were trading vast sums of money based off houses of cards. Maybe I'm just the guy in the trenches and don't see the bigger picture...

Even the very simplest core assumption of all these models, the arb-free forward rate condition made no sense to me. That is, if you finance a 1-year obligation today and refinance 1-year from now, that total net rate paid over the two years should equal today's 2-year rate. That implies any time there's an upwardly sloping yield curve, that the 'forward rates' (the 1-year rate 1-year from now) are always higher than current rates. And then to make interest forecasts "consistent" with today's rates, stochastic models are biased/fitted to that assumption. That means that the models assumed rates could on average go up in the future. But there's absolutely no correlation or implcation that an upwardly sloping yield curve means rates are probably going to go higher in the future. Its just used because it makes the math work and seems to be the best approach from a theoretical ivory tower pespective (sorry, the Applied background showing up).

The LTCM debacle was an attempt to use math to model and beat the market. But really, how is the market anything but a huge collection of non-linear dynamical systems (that is, truly chaotic) with a whole lot of exogenous stochastic inputs pushing it around top of it? Good luck with modeling that with simplistic (even if highly technical and specialized) math.

So yeah, as people on this forum know all to well, most of the people on "The Street" don't know nearly as much as they think they do. And they live a relatively closed, even incestuous and short-sighted system. But they do have a lot of power unfortunately.

Anyways, your approach of looking at the people involved and mixing in other real world considerations (tech adoption behaviors? something to go read about for sure) is definitely the way to go about it.

I hope I didn't hijack this too much. Apologies.

This is the best TMC thread.
Thanks for this rant that puts in words a sensation I always had, and thanks @jbcarioca for his unvaluable insights.
 
Wow, exciting. For me anyways. Someone actually posting link to a Black-Scholes math. I know it well. I don't want hijack the thread, but here's my short anecdotal contribution ( well rant really).

...
I hope I didn't hijack this too much. Apologies.
Thanks very much for your comments. They are very much on point, but you have a much, much better background than do I. FWIW, a prior colleague had a Ph.D. in geophysics and was previously head of exploration analytics for a major oil company. That wasn't his title, but it was his function. He worked with me while consulting to financial institutions regarding decision analytics. His perspective sounded similar to yours.

In geophysics the 'noise' is always much more prominent than are the valid signals. In that respect market analytics and all financial modeling are analogous. In financial models the Nobel Prizes seem to be awarded to people who try to predict things by assuming linearity of inherently non-linear topics. It's is very different but similarly flawed when the same people deploy simple consumer decisioning models (FICO et al) which have the dominant character of multicollinearity (Multicollinearity - Statistics Solutions).

I have never understood why otherwise intelligent people who are exceedingly competent in mathematics and/or statistics seem so rarely to understand the limitations of their modeling techniques. Perhaps logically the two cosmologists I have known had none of that arrogance, I suspect because they know the limits of current human knowledge.

That is why I do my best to understand the root causes of business success and avoid ascribing precision when I am seeking accuracy. Every single securities model I have seen ascribed precision to things that are inherently imprecise. It is interesting that the very nature of AI can be described as 'fuzzy logic' although that word seems not to be in vogue.

From Tesla factory OS to EAP and FSD we see a dedication to what Elon Musk calls 'First Principles'. That means at the core that you need not model something you know to be factual. You must model the things you do not know. The largest problem is to actually know the difference between what you know vs what you believe vs what you want to make into facts. Clear understanding and acceptance of those three things permits.

What would happen were we to find out how to eliminate the Λ (cosmological constant)?

My belief is that Elon is humble because he actually understands his limitations. Knowing oneself well enough to know ones limitations is liberating and gives enormous self-confidence. That is seen by the masses as arrogance.
(now this devolves into a discussion of Buddhist philosophy) :oops:
 
MMT

Firstly, thanks for sharing your insights and experience. I truly find your posts informative and thought provoking.

In relation to the post quoted above, and this thread, this inquiring mind would like to know what else you see as holding worth, from an investment perspective as we march into new strange times? TSLA is one, and your simple comment on who Is realizing this gave me a depth of understanding of then how and why things are evolving the way they are.

Also on the flip side, if what you say starts to happen , with respect to the greenback somewhat imploding what should you not be investing in?

I am 80 per cent TSLA , but am asking as daily, I get an urge to find some land, buy a clothes wringer, some seeds, and make a go of things. I then have thoughts, like well how many solar systems do I need? What if a part breaks? How will my composting toilet work, and then as it seems so overwhelming I just say , well forget about it.

Figure though the road ahead looks rife with danger, and would appreciate some of your thoughts .
 
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US companies that tend to benefit from a defensive approach in today’s world are usually richly valued. A handful that fit this situation include Amazon, CVS, and a number of strong regional supermarket/pharmacy chains. None of those good ones are cheap right now.

Depending on your age and risk tolerance there are many choices that will thrive as renewable energy continues to grow. There I would look at companies that build or manufacture solar and/or wind power systems. Many of them including good ones, are undercapitalized.

Regardless of specific choices I personally avoid most companies that have stock buyback programs, pay out dividends above ~50%of core earnings, and avoid totally any weakly capitalized company.

Tesla has been, in the early years, too highly risky for me to have a significant position. Now it is totally different because they are financially very strong.

Those are generalizations, mostly. My own portfolio is >50% non-US, but it all follows the same fundamentals.
 
Well then, I should comment on my attitude about huge societal change.
I have, as an investor, been through three of those prior to the Coivd-19 events.
Those were the Iranian revolution, civil war in Lebanon and the end of dictatorship in Brasil with subsequent events.
In all three i had active investments at the time of the events, and in all three I had no practical way to extract myself. In all three I ended out in far better shape than I would have been had I chosen to remain.
Had I been an active trader I could have done well with shorts, had I known how to time them correctly.I did not.

In the current environment I have chosen to remain fully invested in those investment I think have long term superior outlook. I ride the ups and downs watchfully, but am doing nothing at all.

After 9/11 I was asked by a very large US public company based in NYC what posture they should take in what was considered to be cataclysmic times. My team and I disagreed somewhat, but my recommendations were to declare huge sympathy, provide aid, fund generously assistance to survivors and otherwise maintain an unchanged business plan. That worked out well.

This is vastly worse and is exacerbated by supremely incompetent and venal national policies coupled with global disarray. This time the aftermath will remain for a very long time. At best it will be exceedingly painful. Despite all that I am holding to my plan. If my plan ends out to have been in error, we are in far worse shape than an alternate plan could have mitigated.

Maybe smarter people than me have better ideas. I hope so.
 
At the moment I am not changing anything at all, although I am gradually accumulating cash that I perviously would have actively invested. That is not about investment strategy per se, it's about having sufficent ready cash to help family members cope with their various problems.

Frankly I pretty much ignore Elon outbursts. Whenever things become really unusual he seems to need to release some pent -up stress. However all the fundamentals are highly favorable as the present emergency yields to a more planned set fo responses in Europe and Asia, if possibly not the US. Despite unstable US leadership I suspect Tesla will continue to do well, probably assisted by Elon's libertarian-style outbursts. That will not hurt him in Texas, probably.

Other than TSLA all my other holdings have luckily been on the gaining side of COVID-19 issues.

I remain confident that I would be incapable of devising an active change posture for investments right now.

FWIW, the epidemiologist in me is confident that the next wave will probably be slightly milder but more widespread. If testing and case management are not robust on a national and international basis it WILL be worse.
The only mitigants would be both a highly effective vaccine and at least one effective treatment. Neither is assured, both are quite possible.

My investment choices will be more cash-oriented if both of those are not assured by late this year. Even that is a serious dilemma because I'll need to decide on a currency strategy. If the outcome of the US federal elections yields continuation of the current political situation I will dispose of all US investments and the US$ unless I am confident the companies in which I invest can successfully navigate the storm. I will decide about that whenever I become confident of probable election results. For that reason I am tracking political probabilities very closely.