15/11/18: The 'New Normal' is a Road to another Tech Sector Bust

The VC land of wonders and waste is awash with cash, thanks to a decade-long loose liquidity pumping across the markets by the Central Banks. Just as in the prior iterations of the same (the Dot.Com Bubble and the pre-GFC assets binge), the outrun will be the same as it was before: a crash.

TechCrunch reports that (https://techcrunch.com/2018/11/11/age-of-the-unicorn/):

• Over the last 5 years, the number of 'unicorns' - startups with valuations in excess of USD1 billion - has grown from 39 to 376 - almost a ten-fold increase
• The rate of 'unicorns' emergence is accelerating: in 11 months through November 1, 2018, we've added 81 new 'unicorns' to the roster, which means there is now a new 'unicorn' company launched every four days
• Mega-deals for start ups - funding rounds in excess of USD100 million - are also on the rise, with their frequency up ten-fold on five years ago. "Back in 2013, there were only about four mega rounds a month, but now there are forty mega rounds a month based..." Thus, "starting from 2015, public market IPO has for the first time no longer been the major funding source for unicorn size companies."

As the chart above shows, there has been a power-law acceleration in the trend since mid-2017 and it is now clearly topping the asymptote.

Two countries dominate the 'unicorns' league: China (with 149 count) and the U.S. (with 146 count). Which implies two things: 

• Given the close links between the PBOC policies, Chinese Government investment strategies and supports, and China's counts of 'unicorns', majority of these start ups are heavily dependent on debt, and political good will. They are sitting ducks for ESG risks and are extremely exposed to political and policy uncertainty.
• The U.S. 'unicorns' are completely dependent on the markets ability to cycle cash from corporate and financial sectors debt and private equity into start ups funding, and M&As. There is zero rational valuation happening in this sub-sector.

A dramatic shift in risks from tangible tangible technologies (including strongly patentable innovation or defensible market shares) of the likes of Apple and Google toward less tangible, highly price and income elastic SaaS types of product offers is reflecting the massive buildup in valuations risks. This too is reflected in the article, albeit the authors fail to spot the implications. TechCrunch conclusion is perhaps even more alarming that the stats they present. "Mega rounds are the new normal; staying private longer is the new normal; and the global composition of the unicorn club is the new normal." We've heard exactly the same arguments at the tail end of the Dot.Com boom about the absurdly over-valued early internet age companies. We've heard exactly the same arguments about the real estate sector prior to 2008. We've heard exactly the same arguments about tulip bulbs in Amsterdam some centuries ago too. 

'The new normal' is the old road to a bust.

2/8/18: M&A Activity: More Concentration Risk Signals

In recent media analysis of the markets, less attention that the rise in shares buybacks has been given to the M&A markets. And there are some interesting observations to be made from the most recent data on these.

Top level (see https://insight.factset.com/mega-deals-dominate-even-as-the-u.s.-ma-market-remains-in-a-slump for details) analysis is that the overall M&A markets activity is remaining at cyclical lows:

As the chart above shows both values and volumes of M&A activities are shrinking. But the numbers of mega deals are rising:

Per chart above, overall transactions in excess of $1 billion are at an all-time historical high. Per FactSet: "the first half of 2018 has reported the second-highest level of deals valued over $1 billion with 200 deals; the highest level was attained in the first half of 2007 with 210 deals. It is also worth noting that the streak of billion-dollar deals started in 2013, and since then there have been over 100 billion-dollar deals in each half-year. Even in the run-up to the financial crisis the streak was only three years (2005 to 2007). And to help complete the pattern, the dot-com boom had a similar three-year streak of 100 billion-dollar deals in each half-year from 1998 to 2000."

In other words, markets reward concentration risk taking. Mega deals generally add value through increased valuation of the acquiring firm, and through synergies on costs side. But they do not generally add value in terms of future growth capacity. Smaller deals usually add the latter value. Divergence between overall M&A activity and the mega-deals activity is consistent with the secular stagnation theses.

2/8/18: Shares Buybacks: the Evil Symptoms of an Ever More Evil Disease

Yesterday, I have posted a quite unusual (for my normal arguments) defense of the shares buybacks. Normally, as the readers of this blog know, I see buybacks as a net negative to organic investment. However, that view needs to be anchored to the economic conditions prevailing on the ground. In other words, buybacks are net negative for investment and organic economic growth, unless buybacks are companies' rational responses to specific economic and policy conditions.

With this in mind, here are my thoughts on the subject of buybacks that have accelerated in recent years:

The proposition that shares buybacks are ‘starving’ (aka slowing) the economy is false. And it is false for a number of reasons, listed below:

Reason 1: Stock buybacks can ONLY slow down economic growth in the conditions when new investment by firms can generate higher economic value added than other uses of funds in the economy (e.g. investment by other agents, than the firm, or increasing aggregate demand by investors recycling gains from buybacks into general consumption, etc). Currently, this does not appear to be the case. In fact, firms are hesitant to invest in the economy even when we control for buybacks. Thus, buybacks are similar to dividends: payouts of dividends and higher buybacks rates may signal lack of profitable investment opportunities for the firms.

Reason 2: Stock buybacks can slow down economic growth if they increase cost of capital for the firms. With equity capital (shares) being made superficially more expensive than debt (QE, tax preferences, demographic shifts in clientele reasons, etc), this is not the case. equity capital is currently more expensive than debt as a funding source for new investment for listed companies. While this situation may reverse in time (which it did only on very rare occasions in the past), companies today can borrow cheaply to retire expensive equity. This might not make sense from the economy point of view (rising degree of financial leverage, increasing risk of destabilising increases in debt carry costs, etc), it might make sense from the company and management point of view.

Reason 3: Stock buybacks can harm economic growth if they reduce returns on productivity (theory of labour productivity being unrewarded via slow wages growth). This too is not the case, because labour productivity and TFP have been collapsing since prior to the increases in shares buybacks. I wrote enough about this on this blog before in the context of the twin secular stagnations theses.

So what does the story of skyrocketing shares buybacks really tell us? The reality, consistent with Reasons 1-3 above, is that stock buybacks are a SYMPTOM of the disease, not the disease itself. Shares buybacks are driven by secular stagnation: more specifically, primarily by supply-side secular stagnation (S-SSS), and are second-order related to demand-side secular stagnation (D-SSS). How?

S-SSS implies lack of profitable investment opportunities for short and medium-term investments by the firms. With falling TFP & labour productivity, and with demographically-induced slowdown in demand, this is patently so. S-SSS also implies the need for protracted QE and other distortions in capital funding costs that disincentivise equity capital relative to debt funding channels.

D-SSS implies that with demographic, structural shifts in economic activity across generations, etc, aggregate demand side of the economy is getting pressured. Which means, again, 2nd order effects, adverse pressure on supply side.

So shares buybacks are NOT a disaster, nor a disease. The disease is the structure of the economy, with
- Technological & human capital productivity and innovation stalling,
- Adverse demographics undermining future economic capacity,
- Infrastructure investments yielding lower potential growth uplifts,
- Policies (monetary & fiscal) stuck in the 20th century extremes,
- Increasing concentration, monopolisation & oligopolization of the economy and the markets resulting in reduced entrepreneurial activity.

Shares buybacks & resulting wealth inequality or concentration are not orthogonal sets to the political & policy mismanagement that marks the last 25 years of our (Western) history. They are DIRECT outcome of these.

So, go ahead, political punks. Make the markets day. Shut down shares buybacks, so you can keep gerrymandering the economy, manipulating the markets, & bend the society to your desired ends. The longer you do this, the more you do this, the tighter is the lid on the pressure cooker. The more spectacular the blowout to follow.

8/4/18: Tail Risk and Liquidity Risk: What about that Alpha?

An interesting data set that illustrates two key concepts relating to financial returns, covered extensively in my courses:

1. Liquidity risk factor - inducing added risk premium on lower liquidity assets; and
2. The importance of large scale corrections in long term data series (geometric vs arithmetic averaging for returns)

Indirectly, the above also indicates the ambiguous nature of returns alpha (also a subject of my class presentations, especially in the Applied Investment & Trading course in MSc Finance, TCD): micro- small- and to a lesser extent mid-cap stocks selections are often used to justify alpha-linked fees by investment advisers. Of course, in all, ranking in liquidity risks helps explain much of geometric returns rankings, while across all, geometric averaging discount over arithmetic averaging returns helps highlight the differentials in tail risks.

Sounds pretty much on the money.

8/4/18: Talent vs Luck: Differentiating Success from Failure

In their paper, "Talent vs Luck: the role of randomness in success and failure", A. Pluchino. A. E. Biondo, A. Rapisarda (25 Feb 2018: https://arxiv.org/pdf/1802.07068.pdf) tackle the mythology of the "dominant meritocratic paradigm of highly competitive Western cultures... rooted on the belief that success is due mainly, if not exclusively, to personal qualities such as talent, intelligence, skills, efforts or risk taking".

The authors note that, although "sometimes, we are willing to admit that a certain degree of luck could also play a role in achieving significant material success, ...it is rather common to underestimate the importance of external forces in individual successful stories".

Some priors first: "intelligence or talent exhibit a Gaussian distribution among the population, whereas the distribution of wealth - considered a proxy of success - follows typically a power law (Pareto law). Such a discrepancy between a Normal distribution of inputs, suggests that some hidden ingredient is at work behind the scenes."

The authors show evidence that suggests that "such an [missing] ingredient is just randomness". Or, put differently, a chance.

The authors "show that, if it is true that some degree of talent is necessary to be successful in life, almost never the most talented people reach the highest peaks of success, being overtaken by mediocre but sensibly luckier individuals."

Two pictures are worth a 1000 words, each:

Figure 5 taken from the paper shows:

• In panel (a): Total number of lucky events and
• In panel (b): Total number of unlucky events 

Both are shown as "function of the capital/success of the agents"

Overall, "the plot shows the existence of a strong correlation between success and luck: the most successful individuals are also the luckiest ones, while the less successful are also the unluckiest ones."

Figure 7 shows:
In panel (a): Distribution of the final capital/success for a population with different random initial conditions, that follows a power law.
In panel (b): The final capital of the most successful individuals is "reported as function of their talent".

Overall, "people with a medium-high talent result to be, on average, more successful than people with low or medium-low talent, but very often the most successful individual is a moderately gifted agent and only rarely the most talented one.


Main conclusions on the paper are:

• "The model shows the importance, very frequently underestimated, of lucky events in determining the final level of individual success." 
• "Since rewards and resources are usually given to those that have already reached a high level of success, mistakenly considered as a measure of competence/talent, this result is even a more harmful disincentive, causing a lack of opportunities for the most talented ones."

The results are "a warning against the risks of what we call the ”naive meritocracy” which, underestimating the role of randomness among the determinants of success, often fail to give honors and rewards to the most competent people."

2/8/17: Role of Clusters in empowering Human Capital: GCTV

My comment to GCTV on the importance of clusters in creating support base for human capital: https://www.youtube.com/watch?v=2_bAPXMqw_M.

28/7/17: Risk, Uncertainty and Markets

I have warned about the asymmetric relationship between markets volatility and leverage inherent in lower volatility targeting strategies, such as risk-parity, CTAs, etc for some years now, including in 2015 posting for GoldCore (here: http://www.goldcore.com/us/gold-blog/goldcore-quarterly-review-by-dr-constantin-gurdgiev/). And recently, JPMorgan research came out with a more dire warning:

This is apt and timely, especially because volatility (implied - VIX, realized - actual bi-directional or semi-var based) and uncertainty (implied metrics and tail events frequencies) have been traveling in the opposite direction  for some time.

Which means (1) increasing (trend) uncertainty is coinciding with decreasing implied risks perceptions in the markets.

Meanwhile, markets indices are co-trending with uncertainty:

Which means (2) increasing markets valuations are underpricing uncertainty, while focusing on decreasing risk perceptions.

In other words, both barrels of the proverbial gun are now loaded, when it comes to anyone exposed to leverage.

30/6/17: Manning Financial: The End of the Trump Boom?

My recent contribution to Manning Financial for Summer 2017 is available here: http://issuu.com/publicationire/docs/mf__summer_2017?e=16572344/49275504

7/6/17: European Policy Uncertainty: Still Above Pre-Crisis Averages

As noted in the previous post, covering the topic of continued mis-pricing by equity markets of policy uncertainties, much of the decline in the Global Economic Policy Uncertainty Index has been accounted for by a drop in European countries’ EPUIs. Here are some details:

In May 2017, EPU indices for France, Germany, Spain and the UK have dropped significantly, primarily on the news relating to French elections and the moderation in Brexit discussions (displaced, temporarily, by the domestic election). Further moderation was probably due to elevated level of news traffic relating to President Trump’s NATO visit. Italy’s index rose marginally.

Overall, European Index was down at 161.6 at the end of May, showing a significant drop from April 252.9 reading and down on cycle high of 393.0 recorded in November 2016. The index is now well below longer-term cycle trend line (chart below). 

However, latest drop is confirming overall extreme degree of uncertainty volatility over the last 18 months, and thus remains insufficient to reverse the upward trend in the ‘fourth’ regime period (chart below).

Despite post-election moderation, France continues to lead EPUI to the upside, while Germany and Italy remain two drivers of policy uncertainty moderation. This is confirmed by the period averages chart below:

Overall, levels of European policy uncertainty remain well-above pre-2009 averages, even following the latest index moderation.

7/6/17: Markets, Investors Exuberance and Fundamentals

Latest data from FactSet on S&P500 core metrics is an interesting read. Here are a couple of charts that caught my attention:

Look first at the last 6 months worth of EPS data through estimated 2Q 2017 (based on 99% of companies reporting). The trend continues: EPS is declining, while prices are rising. On a longer time scale, EPS have been virtually flat in 2014-2016, but are forecast to rise nicely in 2017 and 2018. Whatever the forecast might be for 2018, 2017 increase would do little to generate a meaningful reversion in EPS to price trend

However, the good news is, expectations on rising EPS are driven by rising sales for 2017, and to a lesser extent in 2018. This would be (if materialised) an improvement on the 2014-2016 core drivers, including shares repurchases (chart below).

Next, consider P/E ratios:

As the chart above indicates, P/E ratios are expected to continue rising in the next 12 months. In other words, the markets are going to get more expensive, relative to underlying earnings. Worse, on a 5-year average basis, all sectors, excluding Financials, are at above x14. Hardly a comfort zone for 'go long' investors. The overvalued nature of the market is clearly confirmed by both forward and trailing P/E ratios over the last 10 years:

Forward expectations are now literally a run-away train, relative to the past 10 years record (chart above), while trailing (lagged) P/Es are dangerously close to crisis-triggering levels of exuberance (chart below).

In summary, thus, latest data (through end-of-May) shows continued buildup of risks in the equity markets. At what point the dam will crack is not something I can attempt to answer, but the lake of investors' expectations is now breaching the top, and the spillways aren't doing the trick on abating them.

16/5/17: M&As and Investment Climate: 1Q data

As an illustration to the point made a few weeks ago (see http://trueeconomics.blogspot.com/2017/04/28417-vuca-markets.html)  here is the latest data on aggregate deals volumes and deal values for M&As

16/5/17: Navigating the Bubbling Up Investment Seas

Here are the slides from my presentation at the IPU Conference 2017 two weeks ago:

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).

28/4/17: Russian Economy Update, Part 4: Aggregate Investment

The following is a transcript of my recent briefing on the Russian economy. 

This part (Part 4) covers outlook  for aggregate investment over 2017-2019. Part 1 covered general growth outlook (link here), part 2 covered two sectors of interest (link here) and part 3 concerned with monetary policy and the ruble (link here).

From the point of Russian economic growth, investment has been the weakest part of the overall ex-oil price dynamics in recent years.

Rosstat most recent data suggests that the recovery in seasonally adjusted total fixed investment continued in 1Q 2017, with positive growth in the aggregate now likely for the 2Q 2017:

• 4Q16 investment was down about 1% from 2015
• Total investment rose from 22.12% of GDP in 2015 to 25.63% in 2016, and is expected to moderate to 22.23% in 2017, before stabilsing around 22.9% in 2018-2019
• The investment dynamics are, therefore, still weak going forward for a major recovery to take hold
• However, 2017-2019 investment projections imply greater rate of investment in the economy compared to 2010-2014 average
• However, last year fixed investment was down by 11% from 2014
• This is primarily down to Rosstat revision of figures that deepened the drop in investment in 2015
• About a quarter of total aggregate investment in Russia comes from small firms and the grey economy
• Rosstat data suggests that such investment was roughly unchanged in 2016 compared to 2015
• Other fixed investments, which are mostly investments of large and mid-sized companies, shrank by about 1% in 2016
• This compounds the steep drops recorded in the previous three years (down 10% in 2015 alone), so the level of investment last year remained below that of the 2009 recession
• Investments of large and mid-sized companies within oil & gas production sector rose robustly in 2016
• This marked the third consecutive year of growth in the sector
• Much of the increases was driven by LNG sub-sector investments which is associated (at current energy prices) with lower profit margins 
• On the positive side, investments in LNG facilities helps diversify customer base for Russian gas exporters - a much-needed move, given the tightening of the energy markets in Europe
• In contrast to LNG sub-sector, investment in oil refining continued to shrink, sharply, in 2016 for the second year in a row, 
• Other manufacturing investment also recorded continued sharp declines
• The same happened in the electricity sector
• In contrast, following two years of contraction, investment in machinery and equipment stabilised for the mid- and large-sized corporates
• Construction sector activity was down 4% y/y in 2016, marking third consecutive year of declines
• Exacerbating declines in 2015, commercial and industrial buildings completions fell again in 2016
• Apartments completions also fell y/y marking the first drop in housing completions since 2010

As the chart above illustrates:

• The forecast if for 2017-2019 improvements in investment contribution to growth, with trend forecast to be above 2010-2014 average
• However, historically over 2000-2016 period, investment has relatively weak/zero correlation (0.054) with overall real GDP growth, while investment relative contribution to growth (instrumented via investment/growth ratio) has negative correlation with growth even when we consider only periods of positive growth
• This implies the need for structural rebalancing of investment toward supporting longer-term growth objectives in the economy, away from extraction sectors and building & construction

Going forward:

• Russia's industrial / manufacturing production capacity is nearing full utilisation 
• The economy is running close to full employment
• Leading confidence indicators of business confidence are firming up
• Corporate deleveraging has been pronounced and continues
• Corporate profitability has improved 
• Nonetheless, demand for corporate credit remains weak, primarily due to high cost of credit 
• Most recent CBR signal is for loosening of monetary policy in 2017, with current rates expected to drop to 8.25-8.5 range by the end of 2017, down from 10% at the start of the year
• Irrespective of the levels of interest rates, however, investment demand will continue to be subdued on foot of remaining weaknesses in structural growth and lack of reforms to improve business environment and institutions

Taken together, these factors imply that the recovery in fixed investment over 2017-2019 period is likely to be very slow, with investment recovery to pre-2015 levels only toward the end of forecast period.

Thematically, there is a significant investment gap remaining across a range of sectors with strong returns potential, including:

• Food production, processing and associated SCM;
• Transportation and logistics
• Industrial machinery and equipment, especially in the areas of new technologies, including robotics
• Chemicals
• Pharmaceuticals and health technologies

12/4/17: Incoming Inflation Uptick: Gear Up

My contribution for Manning Financial on the topic of gearing investment portfolios against incoming uptick in inflation is now available here: https://issuu.com/publicationire/docs/mf__spring_2017?e=16572344/47063502.

14/1/17: Country Risks survey results for 2016

+Euromoney have published their @CountryRisks survey results for 2016: available here quoting, amongst other analysts, myself.