Showing posts with label Concentration risk. Show all posts
Showing posts with label Concentration risk. Show all posts
Friday, June 14, 2019
Tuesday, March 12, 2019
12/3/19: S&P500 Concentration Risk over 10 years
More on increasing concentration risks in the U.S. equity markets: Goldman Sachs estimates that almost 1/4 of total return to S&P500 over the last 10 years came from just 10 stocks:
Of these, Apple alone accounted for almost 1/5th of total return to S&P500. 22% of total return was accounted for by ICT sector.
Thursday, October 4, 2018
3/10/18: Dumping Ice bags into Overheating Reactor: Bonds & Stocks Bubbles
Wading through the ever-excellent Yardeni Research notes of recent, I have stumbled on a handful of charts worth highlighting and a related blog post from my friends at the Global Macro Monitor that I want to share with you all.
Let's start with the stark warning regarding the U.S. Treasuries market from the Global Macro Monitor, accessible here: https://macromon.wordpress.com/2018/10/03/alea-iacta-est/. To give you my sense from reading this, two quotes with my quick takes:
"Supply shortages, induced mainly by central bank quantitative easing have been a major factor driving asset markets, in our opinion. Not all, but a big part." So forget the 'not all' and think about risks pairings in a complex financial system of today: equities and bonds are linked through demand for yield (gains) and demand for safety. If both are underpricing true risks (and bond markets are underpricing risks, as the quote implies), it takes one to scratch for the other to blow. Systems couplings get more fragile the tighter they become.
"The float of total U.S. equities has shrunk dramatically, in part, due to cheap financing to fund share buybacks. The technical shortage of stocks have helped boost U.S. equity markets and killed off most bears and short sellers." In other words, as I have warned repeatedly for years now, U.S. equity markets are now dangerously concentrated (see this blog for posts involving concentration risks). This concentration is driven by three factors: M&As and shares buy-backs, plus declined IPOs activity. The former two are additional links to monetary policies and, thus to the bond markets (coupling is getting even tighter), the latter is structural decline in enterprise formation and acceleration rates (secular stagnation). This adds complexity to tight coupling of risk systems. Bad, very bad combination if you are running a nuclear power plant or a major dam, or any other system prone to catastrophic risk exposures.
How bad the things are?
Since 1Q 2009, total cumulative shares buy-backs for S&P500 amounted (through 2Q 2018) to USD 4.2769 trillion.
Now, those charts.
Chart 1, via Yardeni Research's "Stock Market Indicators: S&P 500 Buybacks & Dividends" book from October 3rd (https://www.yardeni.com/pub/buybackdiv.pdf)
What am I looking at here? The signals revealing flow of corporate earnings toward investment, or, the signs of the build up in the future economic capacity of the private sector. The red line in the lower panel puts this into proportional terms, the gap between the yellow line and the green line in the top panel puts it into absolute terms. And both are frightening. Corporate earnings are on a healthy trend and at healthy levels. But corporate investment is not and has not been since 1Q 2014. This chart under-reports the extent of corporate under-investment through two things not included in the red line: (1) M&As - high risk 'investment' strategies by corporates that, if adjusted for that risk, would have pushed the actual investment growth even lower than it is implied by the red line; and (2) Risk-adjustments to the organic investments by companies. In simple terms, there is no meaningful translation from higher earnings into new investment in the U.S. economy so far in 2018 and there has not been one since 2014. Put differently, U.S. economy has been starved of organic investment for a good part of the 'boom' years.
Chart 2, via the same note:
Spot something new in the charts? That's right: buybacks are accelerating in 1H 2018, with 2Q 2018 marking an absolute historical high at USD 1.0803 trillion (annualized rate) of buybacks. Guess what does this mean for the markets? Well, this:
And what causes the latest spike in buybacks? No, not growing earnings (which are appreciating, but moderately). The fiscal policy under the Tax Cuts and Jobs Act 2017, or Trump Tax Cuts.
Let's circle back: monetary policy madness of the past has been holding court in bond markets and stock markets, pushing mispricing of risks to absolutely astronomical highs. We have just added to that already risky equation fiscal policy push for more mispricing of risks in equity markets.
This is like dumping picnic-sized bags of ice into the cooling system to run the reactor hotter. And no one seems to care that the bags of ice are running low in the delivery truck... You can light a smoke and watch ice melt. Or you can run for the parking lot to drive away. As an investor, you always have a right choice to make. Until you no longer have any choices left.
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Tuesday, September 18, 2018
18/9/18: Extreme Concentration Risk: Bitcoin's VUCA Bomb
I wrote before both, about the general problem of concentration risk and the specific problem of this risk (more accurately, the concentration-implied VUCA environment) in the specific asset classes and the economy. Here is another reminder of how the build up of concentration risks in the financial markets is contaminating all asset classes, including the off-the-wall crypto currencies: https://thenextweb.com/hardfork/2018/09/18/cryptocurrency-bitcoin-blockchain-wallet/.
The added feature of this concentration risk is extreme (87%) illiquidity of major Bitcoin holdings. This means that under the common 'Mine and Hold' strategy, already monopolized, highly concentrated mining pools literally create a massive risk buildup in the Bitcoin trading systems: with 87% of wallets not trading for months, we have a system of asset pricing and transactions that effectively provides zero price discovery and will not be able to handle any spike in supply, should these accounts start selling. Worse, the system is tightly coupled, as Bitcoin holdings are frequently used to capitalize other leveraged crypto currencies undertakings, such as investment funds and ICOs.
The extent of latent instability in the crypto markets is currently equivalent to a Chernobyl reactor on the cusp of the human error.
Thursday, September 13, 2018
13/9/18: Concentration Risk: IPOs, New Firms Arrivals & Super Stars
One of my favourite long-run tail risks to watch in the financial markets (and indeed, due to ongoing monopolisation trends, in the entire economy) is concentration risk. Here is an absolutely epic post from @michaelbatnick on the subject of increasing concentration in equity markets driven by the growing trend toward keeping new tech mega starts private: http://theirrelevantinvestor.com/2018/09/10/making-private-public/.
Aside from compiling a treasure trove of data, the post brings to light some interesting observations, not necessarily central to the author's core arguments.
Take, for example, this chart:
The post correctly views this as evidence that both volumes and numbers of IPOs have been relatively steady over the recent years. Albeit, both are running woefully below the pre-dot.com bust era averages. And, as other evidence presented shows, this is not the feature of the dot.com bubble build up phase: in fact, numbers of IPOs have been running well below the 1980-2000 average since the dot.com bust.
Maturity to IPO duration is also longer:
Which, of course, supports higher median IPO size in the chart above. Controlling for this, the collapse in IPOs activity in 2001-2018 period is probably much more dramatic, than the first chart above indicates. Or, put differently, IPOs are now more concentrated in the space of older, and hence more able to raise funds, companies. That is a phenomenon consistent with concentration risk rising.
It is also a phenomenon consistent with the hypothesis that entrepreneurialism is declining in the U.S. as younger, more entrepreneurial ventures are clearly less capable of accessing public equity markets today than in pre-2001 period.
There is a lot, really a lot, more worth reading in the post. But here are two more charts, speaking directly to the issue of concentration risk:
and
Yes, the markets are dominated by a handful of stocks when it comes to providing returns. Namely, Facebook and Alibaba account for a whooping 85% of the total market cap gains since 2012. $85 of each $100 in market cap increases went to just these two companies.
This is concentration risk at work. Even tightly thematic investment strategies, e.g. ESG risk hedging investments, cannot avoid crowding into a handful of shares. Any tech sector blowout is going to be systemic, folks.
Monday, July 16, 2018
16/7/18: Wither Free Market America
Prior to the 1990's, “U.S. markets were more competitive than European markets”, with the U.S. having a lead-start on the EU of some decades, if not centuries, when it comes to the anti-trust laws and anti-true enforcement. In fact, as noted by Germán Gutiérrez and Thomas Philippon in their new paper “HOW EU MARKETS BECAME MORE COMPETITIVE THAN US MARKETS: A STUDY OF INSTITUTIONAL DRIFT” (NBER Working Paper 24700 http://www.nber.org/papers/w24700 June 2018), it was Europe that largely copied the U.S. legal and regulatory frameworks for dealing with excessive concentration of the market power. Thus, given the “initial conditions, one would have predicted that U.S. markets would remain more competitive than European (EU) markets.” Except they did not. As Gutiérrez and Philippon show, the U.S. “experienced a continuous rise in concentration and profit margins starting in the late 1990s. And, perhaps more surprisingly, EU markets did not experience these trends so that, today, they appear more competitive than their American counter-parts.”
“Figure 1 illustrates these facts by showing that profit rates and concentration measures have increased in the US yet remained stable in Europe. In addition, note that the U.S the increased integration among EU economies essentially shifts the appropriate measure of concentration from the red dotted line towards the blue line with triangles – which further strengthens the trend."
Figure 1: Profit Rates and Concentration Ratios: US vs. EU
Source: Gutiérrez and Philippon (2018)
Source: Gutiérrez and Philippon (2018)
Of course, the point of reduced degree of competition in the U.S. markets is hardly new. I wrote about this on numerous occasions, including covering evidence on the U.S. markets monopolization, oligopolization and markets concentration risks (see links here: http://trueeconomics.blogspot.com/2018/05/24518-america-medici-cycle-and.html) and I wrote about these phenomena in the context of the growing trend toward de-democratization of the U.S. politics (see: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3033949). Hence, the main issue with this evidence is: “what explains the U.S. trend in contrast to the EU?”
Gutiérrez and Philippon (2018) argue that politicians care about consumer welfare but also enjoy retaining control over industrial policy. We show that politicians from different countries who set up a common regulator will make it more independent and more pro-competition than the national ones it replaces.” In other words, once politicians surrender control to a multinational institution (e.g. the EU or ‘Brussels’ or, in the case of Switzerland, to the umbrella-type Federal Government), they tend to favour such new institutional arrangement to be more independent from national politics.
Hence, as Gutiérrez and Philippon (2018) more, “European institutions are more independent than their American counterparts, and they enforce pro-competition policies more strongly than any individual country ever did. Countries with ex-ante weak institutions benefit more from the delegation of antitrust enforcement to the EU level. “ These dynamics are reflected in the switch from the ’average of the nation states’ red dotted line in the chart above, toward a unified EU-wide measure reflected by the blue line.
This theoretical view produces three treatable hypotheses: if Gutiérrez and Philippon (2018) are correct, then:
1. EU countries agree to set up an anti-trust regulator that is tougher and more independent than their old national regulators (and the US)
2. US firms spend more on lobbying US politicians and regulators than EU firms.
3. Countries with weaker ex-ante institutions benefit more from supra-national regulation.
For Hypothesis 1, the authors look at merger and non-merger reviews and remedies that form “an EU-level competency”. Gutiérrez and Philippon (2018) “show that DG Comp is more independent and more pro-competition than any of the national regulators, including the U.S.” Furthermore, “enforcement has remained stable (or even tightened) in Europe while it has become laxer in the U.S.” More ominously (for the consumption-based economy like the U.S.), product market regulations, usually a shared competency between the member state and the EU, the authors “find that the EU has become relatively more pro-competition than the U.S. over the past 15 years. Product market regulations have decreased in Europe, while they have remained stable or increased in the U.S.”
For Hypothesis 2: Gutiérrez and Philippon (2018) look at political expenditures, and show that “U.S. firms spend substantially more on lobbying and campaign contributions, and are far more likely to succeed than European firms/lobbyists.”
For Hypothesis 3: Gutiérrez and Philippon (2018) show that “EU countries with initially weak institutions have experienced large improvements in antitrust and product market regulation. Moreover, we find that the relative improvement is larger for EU countries than for non-EU countries with similar initial institutions.”
There is, of course, a remaining issue left unaddressed by the three hypotheses above: does more enforcement by more independent regulators inhibit innovation and competition? In other words, is European advantage over the U.S. a de facto Trojan Horse by which inhibiting regulation enters the markets? Gutiérrez and Philippon (2018) “find no evidence of excessive enforcement in Europe: enforcement leads to lower concentration and profits but we find no evidence of a negative impact on innovation. If anything, (relative) enforcement is associated with faster future (relative) productivity growth, although the effects are small.”
So, put simply, part of the increasing market concentration and power in the U.S. can be explained by the tangible politicization of the American regulatory environment. Of course, as noted in my own posts on the subject (see link above), this political channel for monopolization reinforces industry structure channel (ICT ‘disruption’ channel) and other channels that support increased market power for dominant firms. All of this, taken together, means one thing: the U.S. is falling dangerously behind in terms of the degree of its economy openness to challengers to the dominant firms, resulting in barriers to entrepreneurs, innovators and smaller enterprises. The costs of this ‘Google Syndrome’ are mounting, ranging from depressed wages, to jobs insecurity, to lack of investment and productivity growth, to growing voters unease with the status quo.
The premise of the Free Markets America no longer holds. Worse, Social(list) Europe is now beating the U.S. in its own game.
Thursday, May 24, 2018
24/5/18: America, the Medici Cycle and the Corporate Powers in Politics
A recent paper by Luigi Zingales of the University of Chicago, titled "Towards a Political Theory of the Firm" (NBER Working Paper No. 23593, July 2017: http://www.nber.org/papers/w23593) deals with the issue of rent-seeking behavior by monopolistic firms through political influence. "Neoclassical theory assumes that firms have no power of fiat any different from ordinary market contracting, thus a fortiori no power to influence the rules of the game," writes Zingales. "In the real world, firms have such power. I argue that the more firms have market power, the more they have both the ability and the need to gain political power. Thus, market concentration can easily lead to a “Medici vicious circle,” where money is used to get political power and political power is used to make money."
In his opening to the paper, Zingales notes 2016 report by Global Justice Now showing that 69 of the world’s largest 100 economic entities are now corporations, not governments. Using "both corporation and government revenues for 2015, ten companies appear in the largest 30 entities in the world: Walmart (#9), State Grid Corporation of China (#15), China National Petroleum (#15), Sinopec Group (#16), Royal Dutch Shell (#18), Exxon Mobil (#21), Volkswagen (#22), Toyota Motor (#23), Apple (#25), and BP (#27). All ten of these companies had annual revenue in higher than the governments of Switzerland, Norway, and Russia in 2015. ...In some cases, these large corporations had private security forces that rivaled the best secret services, public relations offices that dwarfed a US presidential campaign headquarters, more lawyers than the US Justice Department, and enough money to capture (through campaign donations, lobbying, and even explicit bribes) a majority of the elected representatives. The only powers these large corporations missed were the power to wage war and the legal power of detaining people, although their political influence was sufficiently large that many would argue that, at least in certain settings, large corporations can exercise those powers by proxy."
Despite this reality, economic theory largely ignores the issue of political power of the firms despite the fact that throughout modern history, "the largest modern corporations facilitated a massive concentration of economic (and political) power in the hands of a few people, who are hardly accountable to anyone." And despite the well-established fact (including through the precedent of the U.S. sanctions), that "...many of those giants (like State Grid, China National Petroleum, and Sinopec) are overseen by a member of the Chinese Communist party." Worse, as Zinglaes notes, "In the United States, hostile takeovers of large corporations have (unfortunately) all but disappeared, and corporate board members are accountable to none. Rarely are they not reelected, and even when they do not get a plurality of votes, they are coopted back to the very same board (Committee on Capital Market Regulation, 2014). The primary way for board members to lose their jobs is to criticize the incumbent CEO (see the Bob Monks experience in Tyco described in Zingales, 2012). The only pressure on large US corporations from the marketplace is exercised by activist investors, who operate under strong political opposition and not always with the interest all shareholders in mind."
So Zingales argues "that the interaction of concentrated corporate power and politics it a threat to the functioning of the free market economy and to economic prosperity it can generate, and a threat to democracy as well." Which, of course, is simply consistent with existence of the set of market-linked trilemmas, such as The International Relations (Order) Trilemma that implies that in the presence of perfect capital mobility, the nation states can either pursue a democratic sovereign political set up or an objective of international stability/order, as well as. (see more on these here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2786660).
Logically, thus, economics need to be asking the following questions, largely ignored in the neo-classical theory of the firm: "To what extent can the power firms have in the marketplace be transformed into political power? To what extent can the political power achieved by
firms be used to protect but also enhance the market power firms have?"
As Zingales notes correctly, "US economic patterns in the last few decades have seen a rise in the relative size of large companies," as also documented in a number of posts on this blog:
for example, the rise of monopolistic competition here:
- http://trueeconomics.blogspot.com/2018/03/20318-market-power-and-5-macroeconomic.html
- http://trueeconomics.blogspot.com/2018/03/28218-san-francisco-fed-research.html
- http://trueeconomics.blogspot.com/2018/02/7218-american-wages-corporotocracy-why.html
- http://trueeconomics.blogspot.com/2018/02/9218-angus-deaton-on-monopolization-and.html;
monopsonistic power here:
- http://trueeconomics.blogspot.com/2018/02/7218-american-wages-corporotocracy-why.html
- http://trueeconomics.blogspot.com/2018/05/23518-contingent-workforce-online.html
effects on regulatory enforcement efficiency here:
effects on democratic institutions here:
As the result, Zinglaes calls "attention to the risk of a “Medici Vicious Circle.” The “signorias” of the Middle Ages—the city-states that were a common form of government in Italy from the 13th through the 16th centuries--were a takeover of a democratic institution (“communes)” by rich and powerful families who ran the city-states with their own commercial interests as main objective. The possibility and extent of this Medici Vicious Circle depend upon several non-market factors. I identify six of them: the main source of political power, the conditions of the media market, the independence of the prosecutorial and judiciary power, the campaign financing laws, and the dominant ideology. I describe when and how these factors play a role and how they should be incorporated in a broader “Political Theory” of the firm."
The driver for this 'Medici Circle' dynamic is market concentration or monopolistic competition. Product differentiation and market regulation can bestow onto a firm a degree of market power that translates into market concentration (rising and significant share of market activity captured by the firm). While in the environment of continued innovation, such competitive advantage generates only temporary abnormal profits, the degree of market power can be significant enough to provide the firm with substantial resources (profits) to engage in lobbying activities, corruption and other rent-seeking activities. There are also symmetric incentives for the firms to engage in rent seeking. As Zinglaes notes: "If the ability to influence the political power increases with economic power, so does the need to do so, because the greater the market power a firm has, the greater the fear of expropriation by the political power". This sounds strange, but it is quite intuitive: as a firm gains market power, it's prices rise above the marginal cost, yielding abnormal economic profits to the firm at the expense of consumers. The Governments can (and do) claim political mandate to limit these profits by taxing the market dominant firms' profits (either through regulation or direct taxation), thus expropriating part of the abnormal profits.
In simple terms, "Most firms are actively engaged in protecting their source of competitive advantage: through a mixture of innovation, lobbying, or both. As long as most of the effort is along the first dimension, there is little to be worried about. ...What is more problematic is when a lot of effort is put into lobbying. In other words, the problem here is not temporary market power. ...The fear is of what I call a “Medici vicious circle,” in which money is used to gain political power and political power is then used to make more money. ...In the case of medieval Italy, it turned Florence from one of the most industrialized and powerful cities in Europe to a marginal province of a foreign empire. At least the Medici period left some examples of great artistic beauty in Florence. I am not sure that market capitalism of the 21st century will be able to do the same."
Zingales relates the Medici circle concept to the modern day U.S. economy. "In the last two decades more than 75 percent of US industries experienced an increase in concentration levels, with the Herfindahl index increasing by more than 50 percent on average. During this time, the size of the average publicly listed company in the United States tripled in market capitalization: from $1.2 billion to $3.7 billion in 2016 dollars... This phenomenon is the result of two trends. On the one hand, the reduction in the rate of birth of new firms, which went from 14 percent in the late 1980s to less than 10 percent in 2014. On the other hand, a very high level of merger activity, which for many years in the last two decades exceeded $2 trillion in value per year... The market power enjoyed by larger firms is also reflected in the increasing difficulty that smaller firms have in competing in the marketplace: in 1980, only 20 percent of small publicly traded firms had negative earnings per share, in 2010, 60 percent did... Barkai (2016) ...finds that the decrease in labor share of value added is not due to an increase in the capital share (that is, the cost of capital times amount of capital divided by value added), but by an increase in the profits share (the residuals), which goes from 2 percent of GDP in 1984 to 16 percent in 2014. ...By separating the return to capital and profits, we can appreciate when profits come from (non-replicable) barriers to entry and competition, not from capital accumulation. Distinguishing between capital and share allows Barkai (2016) also to gain some insights on the cause of the decline in the labor share. If markups (the difference between the cost of a good and its selling price) are fixed, any change in relative prices or in technology that causes a decline in labor share must cause an equal increase in the capital share. If both labor and capital share dropped, then there must be a change in markups—that is, the pricing power firms to charge more than their cost."
And fresh from the presses today: "US IG Chart of the Day: Global M&A deal flow has doubled YTD for a total of $1.5 trillion of announced deals. US-only deals account for about 37% of the global total, for $555 billion of transactions."
While firms require market power to acquire political power, access to political power is required to protect abnormal profits arising from market power. Which, in a highly polarised society (aka, the U.S. system of politics dominated by two mainstream parties) can result in political representation concentrated in the hands of minorities (e.g. Trump Presidency, gained absent major corporate support), and in ineffectiveness of lobbying monitoring (As Zinglaes notes: "Even when it comes to lobbying, the actual amount spent by large U.S corporations is very small, at least as a fraction of their sales. For example, in 2014 Google (now Alphabet) had $80 billion in revenues and spent $16 million in lobbying".) Which is, of course, quite ironic, given that the ongoing Robert Mueller probe of the Trump campaign is focusing almost exclusively on the violations in the legal or declared channels of lobbying, instead of the indirect forms of political influencing.
I will quote Zingales' conclusion almost in full here, for it is a powerful reminder to us all that we live in a world where corporatism (integration of State and corporate powers) and monopolisation / concentration of the markets are two key features of our environment, not only in the economic sense, but in the political / democratic domains as well.
"In a famous speech in 1911, Nicholas Murray Butler, President of Columbia University, considered the practical advances made by large corporations in the late 19th and early 20th century and stated: 'I weigh my words, when I say that in my judgment the limited liability corporation is the greatest single discovery of modern times, whether you judge it by its social, by its ethical, by its industrial or, in the long run, ...by its political, effects.' Butler was right, but this discovery of the modern corporate form – like all discoveries – can be used to both to foster progress or to oppress. The size of many corporations exceeds the modern state. As such, they run the risk of transforming small- and even medium-sized states into modern versions of banana republics, while posing economic and political risks even for the large high-income economies. To fight these risks, several political tools might be put into use: increases in transparency of corporate activities; improvements in corporate democracy; better rules against revolving doors and more attention to the risk of capture of scientists and economists by corporate interests; more aggressive use of the antitrust authority; and attention to the functioning and the independence of the media market. Yet the single most important remedy may be broader public awareness."
The latter bit is still woefully lacking in the Fourth Rome of Washington DC, where the usual, tired, unrealistic narrative of American Exceptionalism reigns supreme, and where the U.S. flags at the 4th of July picnics are still confused for meaningful symbols of the U.S. meritocracy and the American Dream, the native entrepreneurialism and the social mobility. Wake up, folks, and smell the roses.
Tuesday, January 16, 2018
15/1/18: Of Fraud and Whales: Bitcoin Price Manipulation
Recently, I wrote about the potential risks that concentration of Bitcoin in the hands of few holders ('whales') presents and the promising avenue for trading and investment fraud that this phenomena holds (see post here: http://trueeconomics.blogspot.com/2017/12/211217-of-taxes-and-whales-bitcoins-new.html).
Now, some serious evidence that these risks have played out in the past to superficially inflate the price of bitcoins: a popular version here https://techcrunch.com/2018/01/15/researchers-finds-that-one-person-likely-drove-bitcoin-from-150-to-1000/, and technical paper on which this is based here (ungated version) http://weis2017.econinfosec.org/wp-content/uploads/sites/3/2017/05/WEIS_2017_paper_21.pdf.
Key conclusion: "The suspicious trading activity of a single actor caused the massive spike in the USD-BTC exchange rate to rise from around $150 to over $1 000 in late 2013. The fall was even more dramatic and rapid, and it has taken more than three years for Bitcoin to match the rise prompted by fraudulent transactions."
Oops... so much for 'security' of Bitcoin...
Thursday, December 21, 2017
21/12/17: Of Taxes and Whales: Bitcoin's New Headaches
I have recently mused about the tax exposures implications of Bitcoin 'investments', and in particular, my suspicion that many today's BTC enthusiasts (retail investors speculating on BTC and other cryptos) are likely to be caught out with unexpected and un-covered tax liabilities arising from trading in currencies pairs that involve cryptos and regular currencies (e.g. BTCUSD pair). Normally, every trade in BTC that involves sale of BTC for USD is subject to capital gains tax. This is a nasty side effect of the BTC trading.
And here comes a new and a worse one: the GOP tax plan will make even trades between cryptos (e.g. BTCETH pair) subject to capital gains (https://www.bloomberg.com/news/articles/2017-12-21/tax-free-bitcoin-to-ether-trading-in-u-s-to-end-under-gop-plan). The GOP plan removal of the like-kind swap tax deferral provision for everything other than real property sweeps cryptos put of the deferral cover because back in 2014, the IRS designated cryptos as non-currency property-type assets, like gold.
In addition to catching many investors off-guard and leaving them facing potentially explosive tax bills, the new change induces more liquidity risk into the system: removal of the deferral imposes a de facto transaction tax on BTC and other cryptos. This is likely to reduce frequency of trading conducted by investors. Which, in turn, reduces liquidity of the BTC and other cryptos.
This tax change, in part, likely explain why the BTC and other cryptos concentration is falling: the whales, who used to control up to 40% of the entire BTC issuance to-date, are selling, and selling at speed (https://www.bloomberg.com/gadfly/articles/2017-12-21/bitcoin-whales-are-cutting-back). Ordinarily, this would be a good thing (lower concentration risk, increased liquidity), but cryptos are not your ordinary assets. The problem with whales selling is that one of the key arguments in favor of cryptos is that crypto-enthusiasts and pioneers are market-makers who prefer mine-and-hold strategy. In other words, to-date, the argument has been that the whales simply will never sell their holdings before BTC issuance reaches its bound of 21 million units.
That reasoning is now going, like the proverbial hot air out of a punctured balloon:
Friday, December 1, 2017
1/12/17: Eonia's strange vaulting
What concentration risk and liquidity risk can do to you when both combine?
Eonia (Euro OverNight Index Average) is the 1-day interbank interest rate for the Euro zone. In other words, it is the rate at which banks provide loans to each other with a duration of 1 day (so Eonia can be considered as the 1 day Euribor rate). In other words, it is a measure of short-term liquidity. Eonia is an average of actual rates charged, so it is, in theory, a reflection of the market demand for short term liquidity. But Eonia is a tiny market, trading normally daily at around EUR7 billion or less. And in a tiny market, there can be a sudden shift in trading volumes. This is what happened on Wednesday and Thursday. Eonia rose from -0.36 basis points on Tuesday to -0.30 bps on Wednesday to -0.24 bps on Thursday.
Eoinia's volumes are 90% direct borrowing by prime banks (and the balance is brokered), so a handful of large institutions use the market to any significant extent. Which induces concentration risk. Worse, Eonia is a secondary/supplementary market, because the ECB currently provides extremely cheap liquidity in unlimited volumes on a weekly basis. Which is another risk to Eonia, as it is thus set to absorb any short term variation in liquidity demand (below 1 week).
Bloomberg speculated that "The most likely explanation is a technical hitch, rather than some sudden crisis warning. The cause of the spike could be a U.S. financial institution that has switched its year-end accounting period from Dec. 31 to Nov. 30. This may have driven a sudden need for short-term liquidity, thereby causing a squeeze. It was month-end for many financial institutions on Thursday, on top of which we are approaching year-end periods, when cash and collateral rates often get squeezed. A bit of indigestion shouldn’t be a surprise. But a move this big is."
If Friday close gets us back toward Tuesday opening levels, the glitch might just be a glitch. If not, something might be happening beyond 'technical' hitches.
The strangest bit is that the move signals a potential liquidity squeeze in a market that has, if anything. too much liquidity. And the matters are not helped by the shallow trading volumes, that imply a concentrated move.
Something to watch, folks, if anything - for just another illustration of the concept of correlated risks.
Sunday, November 26, 2017
26/11/17: FAANGS+ Brewing up another markets storm
One of the key signals of a systemic mispricing of financial assets is concentration risk. I wrote about this in a number of posts on the blog, so no need repeating the obvious. Here is the latest fragment of evidence suggesting that we - the global financial markets and their investors - are at or near the top of froth when it comes to 'irrational exuberance': http://www.zerohedge.com/news/2017-11-26/david-stockman-derides-delirious-dozen-2017.
So what should investors do? Some lessons from the GFC that can help are summarized here: http://trueeconomics.blogspot.com/2017/11/241117-learning-from-gfc-lessons-for.html. And some additional warning signs of the bubble are summarized here: http://trueeconomics.blogspot.com/2017/11/191117-next-global-financial-crisis.html.
Quote: "...our new Delirious Dozen consists of the FAANGs (Facebook, Apple, Amazon, Netflix and Google) plus seven additional high flyers (Tesla, NVIDIA, Salesforce, Alibaba, UnitedHealth, Home Depot and Broadcom)."
What the above valuations imply?
- "Amazon is now valued at $550 billion and thereby trades at 293X its $1.9 billion of LTM net income" - EV/EBITDA ratio of x46.5
- "Broadcom trades at 246X net income"
- "Netflix is valued at 194X" or x107.8 EV/EBITDA ratio
- "Salesforce (CRM) ... is currently valued at $77 billion, and Tesla, which sports a market cap of $54 billion. Yet both had large net losses during the latest 12 months. In fact, during the last five years, CRM has posted cumulative net losses of $650 million and Tesla has lost $3.3 billion." Enterprise Value/EBITDA for CRM is now x154; for Tesla: x80.7 after the recent price drops.
- NVIDIA sports EV/EBITDA ratio of x44.9 and Alibaba of x43.5
- UnitedHealth is absolutely cheap at x13.3 EV/EBITDA as is Home Depot at x13.9 although the latter does sport a P/BV ratio of x57.3 and that is before it takes a full writedown on the 'value' of its stores, in lines with forward expectations of the changes in the retail environment in the near future
- Facebook EV/EBITDA is x26.6 with expectations forward on earnings bringing trailing P/E ratio from x41 to x27.6 which is really equivalent to saying that there is no business cycle that can impact adversely Facebook's business any time soon.
- Apple's EV/EBITDA is x13.3 - cheap by all 'FAANGS' measures, but forward relative to trailing P/Es imply earnings growth of at least 35-40 percent in 24 months horizon. Which is, again, suggesting no one should ever expect any clouds on Apple's horizon.
- Google's EV/EBITDA is x19, while forward vs trailing P/E ratios imply earnings growth of at least 33-40 percent, similar to Apple's.
There is, quite clearly and transparently, an eyes wide shut moment for the markets. Greenspan might have called this the 'irrational exuberance', while your friendly sell-side broker will undoubtedly call it 'time to buy into the market' moment. But you have to have guts of steel and brain the size of a pea to not spot the trouble ahead with the current markets valuations.
Sunday, October 15, 2017
15/10/17: Concentration Risk & Beyond: Markets & Winners
An excellent summary of several key concepts in investment worth reading: "So Few Market Winners, So Much Dead Weight" by Barry Ritholtz of Bloomberg View. Based on an earlier NY Times article that itself profiles new research by Hendrik Bessembinder from Arizona State University, Ritholtz notes that:
- "Only 4 percent of all publicly traded stocks account for all of the net wealth earned by investors in the stock market since 1926, he has found. A mere 30 stocks account for 30 percent of the net wealth generated by stocks in that long period, and 50 stocks account for 40 percent of the net wealth. Let that sink in a moment: Only one in 25 companies are responsible for all stock market gains. The other 24 of 25 stocks -- that’s 96 percent -- are essentially worthless ballast."
Which brings us to the key concepts related to this observation:
- Concentration risk: This an obvious one. In today's markets, returns are exceptionally concentrated within just a handful of stocks. Which puts the argument in favour of diversification through a test. Traditionally, we think of diversification as a long-term protection against risks of markets decline. But it can also be seen as coming at a cost of foregone returns. Think of holding 96 stocks that have zero returns against four stocks that yield high returns, and at the same time weighing these holdings in return-neutral fashion, e.g. by their market capitalization.
- Strategic approaches to capturing growth drivers in your portfolio: There are, as Ritholtz notes, two: exclusivity (active winners picking) and exclusivity (passive market indexing). Which also rounds off to diversification.
- Behavioral drivers matter: Behavioral biases can wreck havoc with both selecting and holding 'winners-geared' portfolios (as noted by Rithholtz's discussion of exclusivity approach). But inclusivity or indexing is also biases -prone, although Ritholtz does not dig deeper into that. In reality, the two approaches are almost symmetric in behavioral biases impacts. Worse, as proliferation of index-based ETFs marches on, the two approaches to investment are becoming practically indistinguishable. In pursuit of alpha, investors are increasingly being caught in chasing more specialist ETFs (index-based funds), just as they were before caught in a pursuit of more concentrated holdings of individual 'winners' shares.
- Statistically, markets are neither homoscedastic nor Gaussian: In most cases, there are deeper layers of statistical meaning to returns than simple "Book Profit" or "Stop-loss" heuristics can support. Which is not just a behavioral constraint, but a more fundamental point about visibility of investment returns. As Ritholtz correctly notes, long-term absolute winners do change. But that change is not gradual, even if time horizons for it can be glacial.
All of these points is something we cover in our Investment Theory class and Applied Investment and Trading course, and some parts we also touch upon in the Risk and Resilience course. Point 4 relates to what we do, briefly, discuss in Business Statistics class. So it is quite nice to have all of these important issues touched upon in a single article.
Tuesday, May 16, 2017
16/5/17: Insiders Trading: Concentration and Liquidity Risk Alpha, Anyone?
Disclosed insiders trading has long been used by both passive and active managers as a common screen for value. With varying efficacy and time-unstable returns, the strategy is hardly a convincing factor in terms of identifying specific investment targets, but can be seen as a signal for validation or negation of a previously established and tested strategy.
Much of this corresponds to my personal experience over the years, and is hardly that controversial. However, despite sufficient evidence to the contrary, insiders’ disclosures are still being routinely used for simultaneous asset selection and strategy validation. Which, of course, sets an investor for absorbing the risks inherent in any and all biases present in the insiders’ activities.
In their March 2016 paper, titled “Trading Skill: Evidence from Trades of Corporate Insiders in Their Personal Portfolios”, Ben-David, Itzhak and Birru, Justin and Rossi, Andrea, (NBER Working Paper No. w22115: http://ssrn.com/abstract=2755387) looked at “trading patterns of corporate insiders in their own personal portfolios” across a large dataset from a retail discount broker. The authors “…show that insiders overweight firms from their own industry. Furthermore, insiders earn substantial abnormal returns only on stocks from their industry, especially obscure stocks (small, low analyst coverage, high volatility).” In other words, insiders returns are not distinguishable from liquidity risk premium, which makes insiders-strategy alpha potentially as dumb as blind ‘long lowest percentile returns’ strategy (which induces extreme bias toward bankruptcy-prone names).
The authors also “… find no evidence that corporate insiders use private information and conclude that insiders have an informational advantage in trading stocks from their own industry over outsiders to the industry.”
Which means that using insiders’ disclosures requires (1) correcting for proximity of insider’s own firm to the specific sub-sector and firm the insider is trading in; (2) using a diversified base of insiders to be tracked; and (3) systemically rebalance the portfolio to avoid concentration bias in the stocks with low liquidity and smaller cap (keep in mind that this applies to both portfolio strategy, and portfolio trading risks).
Tuesday, April 18, 2017
18/4/17: S&P500 Concentration Risk Impact
Recently I posted on FactSet data relating earnings within S&P500 across U.S. vs global markets, commenting on the inherent risk of low degree sales/revenues base diversification present across a range of S&P500 companies and industries. The original post is provided here.
Now, FactSet have provided another illustration of the 'concentration risk' within the S&P500 by mapping earnings and revenues growth across two sets of S&P500 companies: those with more than 50% of earnings coming from outside the U.S. and those with less than 50% of earnings coming from the global markets.
The chart is pretty striking. More globally diversified S&P constituents (green bars) are posting vastly faster rates of growth in earnings and a notably faster growth in revenues than S&P500 constituents with less than 50% share of revenues from outside the U.S (light blue bars).
Impact of the concentration risk illustrated. Now, can we have an ETF for that?..
Tuesday, April 11, 2017
11/4/17: S&P 500 Concentration Risk
Concentration risk is a concept that comes from banking. In simple terms, concentration risk reflects the extent to which bank's assets (loans) are distributed across the borrowers. Take an example of a bank which has 10 large borrowers with equivalent size loans extended to them. In this case, each borrower accounts for 10 percent of the bank total assets and bank's concentration ratio is 10% or 0.1. Now, suppose that another bank has 5 borrowers with equivalent loans. For the second bank, the concentration ratio is 0.2 or 20%. Concentration risk (exposure to a limited number of borrowers) is obviously higher in the latter bank than in the former.
Despite coming from banking, the concept of concentration risk applies to other organisations and sectors. For example, take suppliers of components to large companies, like Apple. For many of these suppliers, Apple represents the source of much of their revenues and, thus, they are exposed to the concentration risk. See this recent article for examples.
For sectors, as opposed to individual organisations, concentration risk relates to the distribution of sector earnings. And the latest FactSet report from April 7, 2017 shows just how concentrated the geographical distributions of earnings for S&P 500 are:
In summary:
- With exception of Information Technology, not a single sector in the S&P 500 has aggregate revenues exposure to the U.S. market that is below 50%;
- Seven out of 11 sectors covered within S&P 500 have exposure concentration to the U.S. market in excess of 70%; and
- On the aggregate, 70% of revenues for the entire S&P 500 arise from within the U.S. markets.
In simple terms, S&P 500 is extremely vulnerable to the fortunes of the U.S. economy. Or put differently, there is a woeful lack of economic / revenue sources diversification in the S&P 500 companies.
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