Decentralized Finance and Central Governments

Decentralized Finance and Central Governments

Decentralized finance (DeFi) can disrupt global finance – but only if Defi systems and central governments cooperate. Yes, sworn enemies cooperating for the greater good.

While each seems to be the sworn enemy of the other, ultimately, a cooperative relationship between decentralized and efficient (versus anachronistic and cumbersome) financial infrastructure and government central banks with stable currencies is absolutely necessary.
Defi transactions, to scale globally, require stable and predictable value. Government-issued currencies are the only reliable and foreseeable foundation. Cryptocurrencies, such as Bitcoin were never currencies. They are a sideshow that will remain a speculative asset, and increasingly unimportant.

Cryptocurrencies represent an architectural shift in how financial infrastructure and technology interact, and therefore, it is disrupting how the financial industry works globally. It is neither a new kind of money system nor a danger to economic stability. It is more important than that.

Life Sciences: The Real, the Hoped, and the Hyped

Life Sciences: The Real, the Hoped, and the Hyped

Investors have been swept up in the notion of “philanthropic capitalism” and have targeted life-sciences as an avenue that can fulfill this benefit to society. While laudable in concept, this is non-scientific surrealism. “Hoped-for” is not a reliable business model, and most of the unrealistic goals would not be sustainable even if achieved. Real science and innovation are more impactful and substantial and make life sciences even more.

Noise and Unpredictability

Noise and Unpredictability

Distinguishing what’s happening in the market and the direction of important market metrics – the signal – from garbled, inconsistent, and mostly useless data – the noise – is extremely challenging today. Information is contradictory and transient making data and critical events more confusing and indistinguishable. Unusual circumstances brought about by the pandemic, subsequent supply chain interruptions, inconsistent production and demand, and unclear economic forecasts combined for almost unprecedented uncertainty and unpredictability.

Typically, near-term predictions are reasonable and reliable because we have immediately available and fairly accurate data making short-term predictions reasonably accurate. In other words, we can estimate what will happen because we have a good idea what just happened. But this is not the case today. Predictions based on the near-term past are more muddled now than ever. While we used to be able to say we can see a trend, whether that’s inflation, economic growth, or some other important metric, too much volatility, irrelevance, and lack of applicability (after all, who is going to project from a base that includes a pandemic impacting global supply chains and production?), we really can’t reasonably rely on any of that data to try to find a trend or connect the dots generating a near-term forecast with any meaningful depth of data and understanding

More intense volatility occurring more often will be characteristic of this market from now on. An investment strategy must withstand and profit from this. The only clear signal from the market is that there is far too much noise and not enough of a clear signal. Without clarity, determining an investment strategy is flying blind with no instruments.

Core holdings combined with an ability to withstand and profit from volatility and unpredictability are essential for investors today.

Ptolemy, Galileo, and Financial Markets

Ptolemy, Galileo, and Financial Markets

Assume nothing, new models and analytical tools, coupled with constant revision, questioning everything, reassessing, and re-analyzing, are essential to success in today’s markets. Often, and we are seeing that in today’s market, relying on bad assumptions, dogma, or prior belief can be disastrous.

This story about medieval astronomy applies directly to investment strategies, market valuations, and portfolio construction today. It’s the same lesson –begin by questioning the very assumptions on which an entire system is built. There is also a very specific application of this model that is particularly current.

One of the most valuable lessons is to assume no knowledge and analyze closely every initial assumption. Nothing is so obvious that it can’t be questioned. Unexamined ideas and assumptions will eventually be useless. Any assumptions and any model used to explain and predict anything (whether it’s the movement of planets or financial markets) needs to go back to first principles and discard any assumptions, preconceived knowledge, or bias.

Tech Policy and Unintended Consequences

Tech Policy and Unintended Consequences

Technology is facing a substantial crossroads as policy changes with global resonance, such as China’s new crackdown on the country’s big tech companies (such as Ant Financial and Didi Global), the rising resistance to social media behemoths like Facebook, and the need for governments, whether in the United States, Western Europe, or China, to manage and control technological development. Regardless of any good intentions, this will add friction, inefficiency, and underperformance to the most dynamic global industry. The best intentions usually bring disastrous consequences. China cannot escape the law of unintended consequences. Trying to “manage” innovation and creativity takes away the often unplanned and serendipitous breakthroughs that make many significant advancements possible in the first place. From an economic perspective, capital is not going to invest in an uncertain environment where prosperity is managed and, despite great risk where most ventures will fail, the truly successful ones which make up for the losses and encourage capital to keep investing, will be mitigated. The vanguard of capital flight from China is beginning, and it will not ease if this policy and attitude are not revised. This attempt at “fairness and more equal distribution” will do nothing more than keep capital away and stifle any attempt at creativity, technical innovation, and economic advancement. The intention of this policy will yield the opposite outcome as a consequence. The signal means substance. Substance means innovation, creativity, and competitive dynamics that create the most effective innovations, the best solutions, and the most sustainable companies. Central planning, bureaucratic industrial policy, government-led economic management, and dictatorial focus have always failed, and always will. The US should not fall into this trap, regardless of how appealing it may be.

It is only noise.

Noise and Unpredictability

Noise and Unpredictability

Separating signal versus noise is challenging these days because today’s signal is more muddled than ever. One of the more unusual circumstances, which I covered in more detail in the article “Important and Unknowable” is that the immediate past is telling us extraordinarily little about the near future. That is unusual because we can typically estimate the near-term by connecting the dots with reasonable depth and data from the recent past.

One of the reasons why people have inflation fears, currency tremors, market jitters, and emotional vacillation between joy and terror is that all these outcomes seem equally likely that any sense to realistically gauge the directions of these key metrics. We can usually rely upon near-term data to predict the near-term future, and that usually gives us a reasonable sense of comfort about the markets, and how to plan, prepare, predict, and withstand anticipated market moves. But that does not seem to be the case now.

Important and Unknowable

Important and Unknowable

Economic predictions have always been highly variable and uncertain, and, for some reason, relied upon as if the future were a magical algorithm. Essentially, economists would make one fundamental mistake. They thought they were practicing a science. Data could be collected, inputted, and a predictive algorithm could be generated. Even Nobel Prize winners like Paul Samuelson believed that with enough data we could come to understand the economy and how it functioned.

This is nonsense. As Daniel Kahneman and Amos Tversky have shown us, human behavior and irrationality, combined with unpredictability and randomness (thank you Naseem Taleb) make this even a questionable social science. Using existing analysis and algorithms to reliably forecast is a fool’s errand, essential for someone’s tenure, and maybe even a Nobel Prize, but doesn’t add much that is useful. Some of the more laughable Nobel Prizes have been given to people who determined that markets were efficient. They are not. Economies can be predicted with useful data input. They cannot. A couple of inputs about inflation and the unemployment rate, and we know how to manage an economy. We can’t. That last one is the Philip’s Curve – true for a limited time and then it goes spectacularly wrong – a lot like most risk and market prediction models.
One thing we can add is that most predictions seem too good to be true, and almost always are. The economy is not a perpetual motion machine, nor is it a credit card with no limit and no requirement to pay the balance. The current notion that “deficits don’t matter” seems patently silly and naïve to think that we can simply print money without any economic discipline to generate sustainable profitable businesses with the efficient use of capital.

“Money goes where it’s needed, but it stays where it is treated well.”
Walter Wriston (former CEO of Citicorp)

That means it has to generate a return and not be co-opted by governments and public policy, nor be flooded by capital with no economic discipline.

Deficits may be a reasonable way to jumpstart a sluggish economy, but they are not sustainable. Current thinking is that fiscal discipline, debt repayment, and the idea of a balanced budget are anachronistic and useless. It is dangerous to stress test this idea because the downside is potentially cataclysmic. Capital likes a free market, but we hardly have a free market with money today. Constant stimulus does not create economic discipline.

It’s a Cryptoasset, not a Cryptocurrency

It’s a Cryptoasset, not a Cryptocurrency

Bitcoin is an innovative, rapidly expanding network for storing and exchanging value among investors.If it’s an asset, does it have an inherent value, like gold? Arguments about “inherent value” are, and always will be, meaningless. Is there really some kind of “inherent value” in gold? We just decided it was valuable to us. The same is happening with Bitcoin.

It’s a cryptoasset that has the safe haven characteristics of gold and will potentially compete with it for a place in portfolios. Bitcoin is not a currency and will not be adopted as a new medium of exchange. It is not a stable store of value, nor can it be easily transmitted and exchanged for any good or service at a consistently predictable value. But, that’s not important from an investor’s perspective. Bitcoin remains incredibly volatile, and its correlation with other major assets has been inconsistent, but allocations are seen as suitable among an increasing number of investment professionals, and, increasingly, it is seen as an alternative investment equivalent to a derivative or other call options, given the potential for spectacular returns. The downside is well-defined while the upside can be asymmetric and significant.

Digital Assets: Terror and Opportunity

Digital Assets: Terror and Opportunity

Cryptocurrencies Hit New Highs. Should we be terrified?

Probably.

Bitcoin, Ether and, the most recent joke, frenzy, and punch line, Dogecoin, have increased 10x to 20x over the last 12 months. A spectacular return, but can it last?

Probably not.

The forces driving the eye-watering returns are the same as those that drove the insanity behind GameStop: the equivalent of a trading floor in every pocket funded with excess cash looking for disruptive investment opportunities and charging forward like an out of control herd – or lemmings – however you want to envision it. Cryptocurrency became the overwhelming target of Reddit day traders and mobs. Social media influencers, led by various forms of PT Barnum imitators like Elon Musk and many less sophisticated contributors, combined with the public listing of Coinbase to create a massive rally
Despite making inroads, Bitcoin and other digital currencies are still only a tool for speculators. There is no prospect of stable value enabling the fair exchange of assets for goods and services. It is a store of value, but much like any speculative asset, it can be a store value that fluctuates wildly.

That is not to say that some speculative assets, whether they be works of art, sports cars, or digital currencies can’t ultimately have long-term value and generate excellent investment returns. But digital coins are only one part of the digital asset platform, and will most likely prove to be a sideshow. The real opportunity for value creation, sustainability, and appreciation is the right business model and digital platform for the creation of digital assets that are easily and securely exchanged

Inflation, Profits, and Bitcoin

Inflation, Profits, and Bitcoin

“I believe that the present, accurately seized, foretells the future.” V.S. Naipaul

There is a lot of uncertainty today in the markets, but there has always been uncertainty in the markets. We have never had certainty regarding the economy or the future. The most reasonable exercise, as V.S. Naipaul reminds us, is simply to understand the present. So what’s going on? The economy is accelerating. Inflation isn’t a problem. The Fed is going to keep interest rates as close to zero as possible for the foreseeable. These components are driving valuations higher, and in some cases, approaching stratospheric levels. Some concern is warranted in certain sectors, but overall, things seem to be relatively steady and not too overblown. Earnings appear likely to grow, and in many cases, quite rapidly, for the next couple of years – assuming something unforeseeable does not occur (but this probability is not zero). Bitcoin has a few interesting characteristics worth understanding. It is a decentralized, permissionless, peer-to-peer network of computers that’s permanent and unhackable . An investment in Bitcoin is, in reality, a part of the peer-to-peer computer network (essentially, a slot on the database), and almost all of those slots have been allocated. Only 21 million Bitcoins will be produced and 18.5 million have already been mined and circulated. Price is a function of supply and demand (see Economics 101). Arguments about “inherent value” are, and always will be, meaningless. Is there really some kind of “inherent value” in gold? We just decided it was valuable to us. The same is happening with Bitcoin. Bitcoin supply grew 2.5% in 2020; it will grow 2.0% in 2021.The question for Bitcoin valuation is simple: Is demand growing faster or slower than 2.0% annually?

Coinbase, Bitcoin, Ethereum, and Dogecoin

Coinbase, Bitcoin, Ethereum, and Dogecoin

Everything you don’t understand about money combined with everything you don’t understand about computers.

Bitcoin and other digital currencies are going mainstream, and along with that, increased volatility. Last week, cryptocurrencies jumped in value as Coinbase, a cryptocurrency exchange, became a publicly traded company worth approximately $100 billion. In other words, trading in digital currencies, with all the expected volatility and unpredictable nature such securities bring, is here to stay.

More volatility. Less predictability

S&P 500 stock market values are experiencing the same volatility as the first half of 2020, the start of the Covid-19 pandemic (based on the 50 largest value movements as a percentage of the index’s total market value).

Heightened volatility has grown more common across the stock market even as major indexes are approaching record highs. The volatility is not limited to specific circumstances of craziness, such as GameStop (rising more than 2,000% and then cratering), or Viacom (losing more than half its value as Achegos imploded). Apple gained $265 billion in market value during only five trading sessions in January – more than the total worth of Coca-Cola. In March, NVIDIA and PayPal each lost over $50 billion in market value in just a couple of days.

These dramatic movements show that market volatility leads to big price movements in stocks, both up and down. There are a couple of factors combining to enhance this turbulence:

The popularity of the momentum trade (buying stocks that are rising quickly and dump the relative losers quickly).
Decreasing liquidity (fewer buyers and sellers for the other side of trades).

Both factors magnify the market’s moves in either direction.