Archive for category Systems

Date: January 3rd, 2015
Cate: Finance, Risk & Stability, Systems

Systemic risk presentation to NYSSA dec 3rd

I was recently on a NYSSA (New York Society of Security Analysts) panel to discuss systemic risk with the Vice-Chair of the world’s largest asset manager and specialists from the US treasury and the center for financial stability.  Here is my presentation putting the 2007-2009 credit crisis into a 400 yr historical perspective.

Date: February 5th, 2014
Cate: Finance, Systems

Ethereum & Bitcoin : Protocols for $9.3 trillion in value for dead capital?

E-8 Lie Group representation

Warning! this post is going to be technical and deep in nature. To ward off casual readers, I am inserting this image of E8 to the right which may or may not satisfy your need for supersymmetry and a TEO.

Firstly lets discuss value and representations of it. Money is a representation of perceived value. Representing societies perceived value of things correctly is integral to economic development. Value perception in the form of price or expected price is what allows for decision making and choice. It is the operand enabling economic operations by actors.

Representative value using a token allows for virtual ownership. Separating a thing from its representation allows you to sell a house, car or security without having to physically possess it at all times as a squatter. You transfer a title or property right and the thing is then recognized socially as owned by someone else based on that representation. Without titles and representative rights, every time you left your house or car, someone else could possess.

The social invention of value representation using tablets or paper is why capitalism work in the west according to Hernando de Soto.

So abstracting a things ownership attribute via representation using socially agreed to information structures such as titles using centralized public property registries was powerful and a key to economic development. Think about the Joint-stock company as an example of this. Patents do this for ideas, and bonds for future cash flow streams. Even claims to skills are vital for trust. A persons ability to be a doctor or engineer is predicated upon a social claim to expertise in the form of a license, which is an earned asset. Registered, recorded representation prevents or limits theft by occupation, falsification or physical coercion etc. It enables future claims to cash flows, lending and investment.

The mechanism of Socio-economic value representation and assignment enables the economic macro-process choices for spending and investment. The choice to swap representations of money, assets claims (property) etc. are maintained by code (legal code) with lawyers and judges acting as societies processors. Legislators and technocrats are cast in the role as developers of the code and regulations.  Due to corruption or ineptitude, a lot of the property assignment and representation can’t or doesn’t occur properly in poorer countries. This property is then outside the formal system leading to the inability to resolve super-ordinate problems like soft and hard utility infrastructure like waters, sewers, schools and fire departments.  Many squatters interviewed in the emerging world would gladly pay taxes in exchange for the security of ownership and infrastructure that property claims would represent a claim to support and receive.

According to economist de Soto, the value of property that is economically dead capital or lost value due to improper or unavailable rights registration is $9.3 trillion (yes that is trillion). Most of this $9.3 trillion property or dead capital lies among the poorest people in the world. This link shows a map of latin american dead capital by country. This dead capital to poverty relationship is likely causal and not just correlate; ask the World Bank or read de Soto’s book, they get this. Think about trying to sell your house or car without a title, the claim uncertainty would reduce its claimable value  to the buyer. Having only squatter’s rights significantly impacts its sale price.  Buyer’s don’t know who is going to show up and make a claim. That discount due to uncertain claim is dead capital. The property is there but trust in its ownership is missing. Bad actors and mafia become the informal mechanism for claims production, further sapping the wealth from poor, but unregistered property owners.

Bitcoin, like money is misunderstood by 99% of the people using it. Money is a social protocol with each us accepting its various forms or APIs, be they Dollars of Dhirams. People organized as cultures agree to pick various objects, bits etc. and ascribe representations of value to them. Value is perception. Most monies average a 27 year life before the dream dies, usually due to a captive central banks forced on an unhealthy diet of government debt which has become unserviceable.

An economy is an adaptive social process not a strictly linear physical phenomena like a machine. Organization and trust among groups winning over corruption and deceit allows for the rule of law, capital, knowledge and most importantly human development. Its all in my book which took 4 years to write. FYI author’s make about $2-3 a book and economics books sell 2-5,000 copies on a good run . I am shilling for the sake of your knowledge, more than my pocketbook. So how do bitcoin and ethereum etc. enter in to this? Aren’t they just digital cowrie shells or beads?

Bitcoin is a technical protocol that happens to be expressed as a blockchain ledger, wallets and services that are then expressed and mostly understood as the social protocol collectively known as money. So here is where Ethereum and Bitcoin become interesting as form of money. Money as a believed representation of value is valuable to an economy. Registered property minimizes corruption, allows property rights, mortgages, capital formation etc. The integrity and ease of access to the legally and publicly recognized representations of property are what can help free up the $9.3 trillion in global dead capital.

Costly bureaucracy, ignorance, illiteracy and politics limit many from receiving and being able to use the legally recognized representative claims to their property. This forces them to be squatters or operate in the informal economy which is actually costlier and less safe etc. again read de Soto to understand this.  If you are from a rich world country it is tough to understand that these choices are sub-optimal but rational for local economic actors who are dis-enfranchised often by design from the formal property system. Formalizing property and title, brings it in from the black market allowing for legal protections such as company formation, lease-holding, utility connections, political voice, capital accumulation, financing and legal standing and yes taxation. So where does the Ethereum and Bitcoin stuff coming in?

Bitcoin currently has a market cap of $10 billion. In global economic’s terms it doesn’t count for much. It may one day, but $10 billion doesn’t swing the needle in a forex market that trades $4 trillion a day (hint bitcoin trades $30-50million a day as of Feb 2014).  The protocol for bitcoin, alt-coins and Ethereum may one day be profoundly interesting.

Full disclosure, I volunteer as a spokesperson for www.solarcoin.org which uses a representation of energy based on this paper to stimulate solar energy production for the next 40 years. SolarCoin may  use Ethereum for grant representation if it makes technical sense to the SolarCoin community.

The Blockchain concept is where things get interesting.  The Bitcoin blockchain is by design a distributed (there is no center) data structure that maintains an almost inviolable record of each transaction that passes into it. When a message is added to that transaction its a record, like a public land registry etc. Anything can be recorded in the Blockchain by associating a transaction message to some trusted meta data.  Thats pretty cool computationally and philosophically. The blockchain is a bit like a platonic growing symbolic structure. Instead of representing $10 billion in bitcoins as it does today, the bitcoin blockchain could be the key to represent trillions in property, like home titles or securities transactions (look out Northern Trust $5 trillion and State Street $5 trillion in assets).   Who needs a custodian to track ownership when the blockchain may do it cheaper and safer?

Ethereum is  the next level.  The current blockchain is effectively a huge database structure with no center and very limited ability to falsify previous records. Computationally that is very cool but kind of like an unbreakable clay tablet.  What is now pejoratively called the cloud isn’t a cloud at all, its actually the clod. There is a clod of servers here and there owned by various people and groups (amazon, google, NSA (handling your personal back-ups), etc.). The blockchain is the first real cloud computing transaction structure. bit Torrent was static transfer, but a fleeting record.  The true cloud of data in a blockchain is a place where the additive database (think of it as having millions of tiny records) is everywhere. For the physicists and math geeks reading along bit-torrent structures could be considered to have lower symmetry over time than the clod. To the data consumer the data and its history of a blockchain looks the same from everywhere to everyone. It is persistent and identical from many directions and sources. The data has become the protocol. Use the bitcoin protocol and the data is maintained.

So here comes the next super cool step. Ethereum represents the first attempt at persistent omnipresent computation and state maintenance. Ethereum takes the blockchain data structure with its data user symmetry and integrity and pops a Turing complete language and process capability inside. Wow! Welcome to the machine.  Suddenly one has the ability to create a machine or computational functions that are at once inviolable (to a degree) and highly symmetric.

The protocol is the processor. Now that is pretty amazing, it won’t get you out of that nasty Goedel problem, but… The ability to complete and compute in trusted fashion with an omni-present 3rd party to act as escrow etc. agent.(pun intended) is deeply profound.  If you are a clod vendor like Amazon, IBM, Microsoft, database vendor or escrow agent dealing with symbolic representations or certificates of value look out. Ethereum and its ilk could eat your current lunch in the same way the TCP-IP protocol ate so many industries with layer of firms built on top of it.

Optional geek  paragraph ahead, on the physics of information and evolution of energy processing:

If you understand the data symmetry concept you will get the E8  reference earlier and appreciate the Wheeler reference about a digital universe resolving itself across energy and structural gradients as it from bit. Wolfram’s alpha may end up living in Ethereum resolving itself. Ethereum indeed! It may end up having the highest phi(m) in the known universe. Have to ask Eric j. Chaisson about that.

 

Date: August 30th, 2013
Cate: Finance, Systems

The Nature of Value out in 2014

My publisher has advised me that, The Nature of Value is to be released in July 2014.

The Natue of Value book cover

Synopsis and sign-up here:

Why do some investments and companies grow as others wither and die? Why did the internet bubble burst just like the railroad and radio bubbles before it? How does the money belief system work? Can a value investor really learn from nature? Why does traditional economic thinking get things so wrong?

The economy is an adaptive selective information process that works just like nature.  The story of this process can help investors and managers understand innovation, competitive advantage and the keys to value creation.

Economic behaviors and outcomes explained using simple examples to provide fresh insight into how things work. The Nature of Value, explains how value gets created, lives and dies by combining human behavior and nature’s processes.

Whether you are an experienced value investor, new to investing or just interested in the latest thinking in economics, The Nature of Value is likely a fascinating and potentially profitable read.

Date: October 19th, 2012
Cate: Finance, Systems
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U.S. Central Bank V 3.0 , the Federal Reserve system

I was just re-reading Paul Ormerod’s excellent book, Why Most Things Fail and came across a fun section on US monetary history.

The U.S. dollar bestrides the world. Acceptable in every country, fervently desired in most, it is a potent symbol of American economic strength and power. But it was not always so. Indeed, it was less than a hundred years ago that the U.S. Congress established the Federal Reserve Bank, the American equivalent of the Bank of England or European Central Bank.

For most of America’s history  from the English colonies established on the seaboard fringe of the continent over four hundred years ago to the early twentieth century, a wide and at times bizarre range of different types of money circulated within the United States itself. The monopoly of the dollar there is a comparatively recent event. The U.S. republic was established in 1783, but as late as the mid-nineteenth century, a tremendous array of different types of money circulated in America, with states and banks being free to issue their own notes. As late as 1860, there were some 9,000 different kinds of privately issued dollar bills circulating, around a third of which were counterfeit. On no less than six occasions in the first half of the nineteenth century, Congress passed acts allowing foreign coins-French, Spanish, British to circulate as legal tender.

Two attempts to establish a U.S. central bank, of the kind with which we are all now familiar, failed. Prosaically called the First and Second Banks of the United States, both had short lives, which ended by 1840. America then waited until 1907 (sic 1913) before the Federal Reserve Bank, with us today, was established.

Date: September 20th, 2012
Cate: Finance, Risk & Stability, Systems

Organizationally induced catastrophes by Charles Perrow

Charles Perrow is an excellent and original systems thinker.  Perrow’s book Normal Accidents should be required reading for engineers, designers and anyone responsible for the safety and risk management of a large system, physical, financial or social.

Perrow’s understanding of tight coupling, contingency, complexity and hidden paths in systems is top notch. He uses real world examples to bring these concepts to life.  One thesis posited by the paper is that as small systems integrate and become tightly coupled they form a larger discrete system which becomes prone to collapse and catastrophe than the original smaller isolated systems. Integration of this type in pursuit of economic efficiency, power and influence leads to the ultimate collapse of a large system.

The implicit argument is that decentralized (federated/discrete) systems are longer term stable and resilient than monolithic systems.  Historical and contemporary study of overly centralized homogenous governments, banking and social systems tightly coupled acting in unison provide numerous examples of this critical failure thesis.

My personal concern is the global unified banking risk system known as Basel 3.

Here is a paper Perrow posted many years ago. Some other of his papers can be found here.

Date: September 7th, 2012
Cate: Finance, Systems
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Lottery stocks, horse races and the human love of the long shot.

In my book, “The Nature of Value” (Columbia University Press Summer 2014), I show how “hot” sectors work like lotteries enticing people in with big promises.  Hot sectors are often in exciting product lead innovation spaces.  Unfortunately great products don’t mean great businesses. Competitive dynamics determine the eventual business margins, not “great products”. You loved Facebook, but must learn the product is not the business model. This is the same as understanding that price is not value. Confusing great products with great businesses gets lots of people in heaps of trouble.

So lets pull a Charlie munger and think about the 2nd order effects of the entrants attracted to a hot product space. In a Lottery hot sector many firms are competing for the big fast growing market prize. Often times, each firm is priced to take it all. The result can be disaster as the hot sector matures and competition erodes the margins of even the fully grown survivors.

PV solar cells are an example of this effect. Each potential winning company originally competed with a $/watt product edge. They then discovered their edge usurped, margins crushed and threat of encroaching technologies still present even at large scales after years of growth.  PV solar firms were a classic case of one-trick innovations in a mostly commodity market. Customers needed the cheapest $/watt and as long as the technology was robust didn’t differentiate between businesses.  The best manufacturer with a 10 year history was only as good as the ideas coming out of some garage or university yesterday.

Innovation is deeper than product alone, it is a profound process. Quantified research from The Doblin group, shows that innovation covers 10 separate categories and that sustained margins are held by dominating as many capability categories uniquely as possible. Today’s great new mouse trap isn’t necessarily a business, its just a product innovation capability for some guy to riff on tomorrow. I know. I used to manage 70 science PhDs in Europe’s answer to the MIT media lab innovating in every field of science you can name.

The human desire to make it big fast often leads to disaster. I know this as well through painful personal experience as a software entrepreneur/ founder.  This innate human pattern of betting for the big payoff can be seen in studying pari-mutual horse racing odds and outcomes.  Where long shot bets are placed mostly for emotional kicks more than actual gains.  The insightful blog CSinvesting posted this article on the issue (see middle of post).

I have redacted a few graphics to give a visual summary of the paper by Eric Snowberg and Justin Wolfers.  The data shows the long-shot betting bias over 6.5million horse races. Betting the long shot is just a way to lose faster.

And for the international set, here is 50 years of data. Human nature isn’t changing any time soon.