Showing posts with label Secular stagnation. Show all posts
Showing posts with label Secular stagnation. Show all posts

Saturday, October 28, 2017

28/10/17: Trade vs Growth or Trade & Growth?


Much has been written down recently about the dramatic slowdown in growth in global trade flows. For example, after rebounding post-Global Financial Crisis (global trade volumes fell 10.46% in 2009) in 2010-2011 (rising 12.52% and 7.1% respectively), trade volumes growth slowed to below 4% per annum in 2012-2016, with 2017 now projected to be the first year of above 4% growth in trade (4.16%).

This has prompted many analysts and academics to define the current recovery as being, effectively, trade-less growth (see, for example https://www.bis.org/review/r161125c.pdf).

This is plainly false. In fact, growth in global trade volumes has outpaced growth in real GDP (based on market exchange rates) in every year since 2010, except for 2016. As the chart below clearly shows, the difference between the rate of trade volumes growth and the rate of real GDP growth remained positive in average terms:


Instead, what really happened to the two series that both real GDP growth and trade volumes growth have fallen significantly since 2011. Average growth in trade over 1980-2017 period stood 2.31 percentage points above growth in real GDP. The 2010-2017 period average gap between the two is 1.78 percentage points, the second lowest decade average after 1.48 percentage points gap recorded in the 1980s. However, these comparatives are somewhat distorted by influential outliers - years when post-recessions recoveries triggered significantly higher spikes in growth in both series, and years when trade recessions were substantially sharper than GDP growth slowdowns. Omitting these periods from decades averages, as the chart above illustrates, makes the current recovery (2010-2017 period) look much much worse than any previous decade on the record (green dashed lines).

Still, the above presents no evidence that trade weaknesses contrasted GDP growth trends. And there is no such evidence when we look at decades-based correlations between trade growth rates and GDP growth rates:

In fact, correlation between trade growth and GDP growth is currently (2010-2017 period) running at an extremely high levels of 96%, compared to historical correlation (1980-2017) of 87% and compared to pre-2010 average (1980-2009) of 88%.

So what has been happening, thus?

As the chart above clearly shows, there are significant differences in trends between the two series. Using indexing approach, setting 1979 = 100, we can compute index of real GDP activity and trade volumes activity based on annual rates of growth. The two series exhibit a diverging pattern, with divergence starting around the end of the 1980s, accelerating rapidly during 1993-2008 period and then de-accelerating since the onset of the post-GFC recovery. Notably, however, this de-acceleration simply slowed the expansion of the gap between the two series, and it did not reverse it or close it.

Currently, global GDP growth is just above the long-term trend. But global trade growth has been running below its historical trade since 2014. Back in 2004-2008 period, rate of growth in global trade vastly exceeded its trend. Why? Because 2004-2008 period was the period of rapidly inflating real assets bubbles around the globe - the period of ample credit and ample demand for investment goods and raw materials. Similar logic applies to 1994-2000 period of  In other words, the glorious days of global trade expansion, the period of accelerated growth in trade.

In other words, past periods of exploding trade volumes growth are unlikely to reflect sustainable trends in the real economy. These were the periods of substantial misalignment between trade and growth much more than the current period of slower trade growth suggests. In other words, something is happening to both trade and growth, and that, most likely, is what we call a structural slowdown or a secular stagnation.

Monday, October 2, 2017

1/10/17: The Old, The Young and Resources Leveraging


In our Economics class at MIIS, we have discussed last week - briefly - the dynamics of demographic change (ageing population and cohorts dominance) around the world, with a side-road to the twin secular stagnations theses. We mostly talked about the supply side of the secular stagnation and mentioned the context of long-term technological cycles. Here is an intelligent take on one of the multiple aspects of the issue, the different angle to technological cycles: https://www.bloomberg.com/view/articles/2017-06-13/the-old-are-eating-the-young. The connection between financial debt and environmental/resource capacity leveraging is a rich vein to explore.


Saturday, September 30, 2017

30/9/17: Technological Revolution is Fizzling Out, as Ideas Get Harder to Find


Nicholas Bloom, Charles Jones, John Van Reenen, and Michael Webb’s latest paper has just landed in my mailbox and it is an interesting one. Titled “Are Ideas Getting Harder to Find?” (September 2017, NBER Working Paper No. w23782. http://www.nber.org/papers/w23782.pdf) the paper asks a hugely important question related to the supply side of the secular stagnation thesis that I have been writing about for some years now (see explainer here: http://trueeconomics.blogspot.com/2015/07/7615-secular-stagnation-double-threat.html and you can search my blog for key words “secular stagnation” to see a large number of papers and data points on the matter). Specifically, the new paper addresses the question of whether technological innovations are becoming more efficient - or put differently, if there is any evidence of productivity growth in innovation.

The reason this topic is important is two-fold. Firstly, as authors note: “In many growth models, economic growth arises from people creating ideas, and the long-run growth rate is the product of two terms: the effective number of researchers and their research productivity.” But, secondly, the issue is important because we have been talking in recent years about self-perpetuating virtuous cycles of innovation:

  • Clusters of innovation engendering more innovation;
  • Growth in ‘knowledge capital’ or ‘knowledge economies’ becoming self-sustaining; and
  • Expansion of AI and other ‘learning’ fields leading to exponential growth in knowledge (remember, even the Big Data was supposed to trigger this).

So what do the authors find?

“We present a wide range of evidence from various industries, products, and firms showing that research effort is rising substantially while research productivity is declining sharply.” In other words, there is no evidence of self-sustained improvements in research productivity or in the knowledge economies.

Worse, there is a diminishing marginal returns in technology, just as there is the same for every industry or sector of the economy: “A good example is Moore's Law. The number of researchers required today to achieve the famous doubling every two years of the density of computer chips is more than 18 times larger than the number required in the early 1970s. Across a broad range of case studies at various levels of (dis)aggregation, we find that ideas — and in particular the exponential growth they imply — are getting harder and harder to find. Exponential growth results from the large increases in research effort that offset its declining productivity.”

We are on the extensive margin when it comes to knowledge creation and innovation, which - to put it differently - makes ‘innovation-based economies’ equivalent to ‘coal mining’ ones: to achieve the next unit of growth these economies require an ever increasing input of resources.

Computers are not the only sector where the authors find this bleak reality. “We consider detailed microeconomic evidence on idea production functions, focusing on places where we can get the best measures of both the output of ideas and the inputs used to produce them. In addition to Moore’s Law, our case studies include agricultural productivity (corn, soybeans, cotton, and wheat) and medical innovations. Research productivity for seed yields declines at about 5% per year. We find a similar rate of decline when studying the mortality improvements associated with cancer and heart disease.” And more: “We find substantial heterogeneity across firms, but research productivity is declining in more than 85% of our sample. Averaging across firms, research productivity declines at a rate of around 10% per year.”

This is really bad news. In recent years, we have seen declines in labor productivity and capital productivity, and TFP (the residual measuring technological productivity). Now, knowledge productivity is falling too. There is literally no input into production function one can think of that can be measured and is not showing a decline in productivity.

The ugly facts presented in the paper reach across the entire U.S. economy: “Perhaps research productivity is declining sharply within every particular case that we look at and yet not declining for the economy as a whole. While existing varieties run into diminishing returns, perhaps new varieties are always being invented to stave this off. We consider this possibility by taking it to the extreme. Suppose each variety has a productivity that cannot be improved at all, and instead aggregate growth proceeds entirely by inventing new varieties. To examine this case, we consider research productivity for the economy as a whole. We once again find that it is declining sharply: aggregate growth rates are relatively stable over time, while the number of researchers has risen enormously. In fact, this is simply another way of looking at the original point of Jones (1995), and for this reason, we present this application first to illustrate our methodology. We find that research productivity for the aggregate U.S. economy has declined by a factor of 41 since the 1930s, an average decrease of more than 5% per year.”

This evidence further confirms the supply side of the secular stagnation thesis. Technological revolution has been slowing down over recent decades (not recent years) and we are clearly past the peak of the TFP growth of the 1940s, and the local peak of the 1990s (the ‘fourth wave’ of technological revolution).



Tuesday, August 15, 2017

15/8/17: A Great Recovery or a Great Stagnation?


Value-added is one measure of economic activity that links the production side to consumption/ demand side (using inputs of say $X value to produce a good that sells for $Y generates $Y-$X in Gross Value Added). Adjusted for inflation, this returns Real Gross Value Added (RGVA) in the economy. Taken across two key sectors that comprise the private sector economy: households & institutions serving the households, and private businesses (including or excluding farming sector), these provide a measure of the economic activity in the private economy (i.e. excluding Government).

Since the end of WW2, negative q/q growth rates in the private sectors RGVA have pretty accurately tracked evolution of economic growth (as measured, usually, by growth rates in GDP). Only in the mid-1950s did the private sector RGVA growth turn negative without triggering associated official recession on two occasions, and even then the negative growth rates signalled upcoming late-1950s recession.

Which brings us to the current period of Great Recovery.

Consider the chart below, computed based on the data from the Fred database:


The first thing that jumps out in the above data is that since the end of the Great Recession, the period of the Great Recovery has been associated with two episodes of sub-zero growth in the private sector RGVA. This is unprecedented for any period of recovery post-recession, except for the period between two closely-spaced 1950s recessions: July 1953-April 1954 and August 1957-March 1958.

The second thing that stands out in the data is the average growth rate in RGVA during the current recovery. At 0.579% q/q, this rate is the lowest on the record for any recovery period since the end of WW2. Worse, it is not statistically within 95% confidence interval bands for average growth rate in post-recovery periods for the entire history of the U.S. economy between January 1948 and October 2007. In other words, the Great Recovery is, statistically, not a recovery at all.

The third matter worth noting is that current non-recovery Great Recovery period is the third consecutive period of post-recession growth with declining average growth rates.

The fourth point that becomes apparent when looking at the data is that the current Great Recovery produced only two quarters with RGVA growth statistically above the average rate of growth for a 'normal' or average recovery. This is another historical record low (on per-annum-of-recovery basis) when compared across all other periods of economic recoveries.

All of the above observations combine to define one really dire aftermath of the Great Recession: despite all the talk about the Great Recovery sloshing around, the U.S. economy has never recovered from the crisis of 2007-2009. Omitting the years of the official recession from the data, the chart below shows two trends in the RGVA for the private sector economy in the U.S.


Based on quadratic trends for January 1948-June 2007 (pre-crisis trend) and for July 2009 - present (post-crisis trend), current recovery period growth is not sufficient to return the U.S. to its pre-crisis long term trend path. This is yet another historical first produced by the data. And worse, looking at the slopes of the two trend lines, the current recovery is failing to catch up with pre-crisis trend not because of the sharp decline in real economic activity during the peak recession years, but because the rate of growth post-Great Recession has been so anaemic. In other words, the current trend is drawing real value added in the U.S. economy further away from the pre-crisis trend.

The Great Recovery, folks, is really a Great (near) Stagnation.

Friday, August 4, 2017

3/8/17: New research: the Great Recession is still with us


Here is the most important chart I have seen in some months now. The chart shows the 'new normal' post-2007 crisis in terms of per capita real GDP for the U.S.

Source: http://rooseveltinstitute.org/wp-content/uploads/2017/07/Monetary-Policy-Report-070617-2.pdf

The key matters highlighted by this chart are:

  1. The Great Recession was unprecedented in terms of severity of its impact and duration of that impact for any period since 1947.
  2. The Great Recession is the only period in the U.S. modern history when the long term (trend) path of real GDP per capita shifted permanently below historical trend/
  3. The Great Recession is the only period in the U.S. modern history when the long term trend growth in GDP per capita substantially and permanently fell below historical trend.
As the result, as the Roosevelt Institute research note states, " output remains a full 15 percent below the pre-2007 trend line, a gap that is getting wider, not narrower, over time".

The dramatic nature of the current output trend (post-2007) departure from the past historical trend is highlighted by the fact that pre-crisis models for forecasting growth have produced massive misses compared to actual outrun and that over time, as new trend establishes more firmly in the data, the models are slowly catching up with the reality:

Source: ibid

Finally, confirming the thesis of secular stagnation (supply side), the research note presents evidence on structural decline in labor productivity growth, alongside the evidence that this decline is inconsistent with pre-2007 trends:

On the net, the effects of the Great Recession in terms of potential output, actual output growth trends, labor productivity and wages appear to be permanent in nature. In other words, the New Normal of post-2007 'recovery' implies permanently lower output and income. 

Tuesday, July 18, 2017

17/7/17: New Study Confirms Parts of Secular Stagnation Thesis


For some years I have been writing about the phenomena of the twin secular stagnations (see here: http://trueeconomics.blogspot.com/2015/07/7615-secular-stagnation-double-threat.html). And just as long as I have been writing about it, there have been analysts disputing the view that the U.S. (and global) economy is in the midst of a structural growth slowdown.

A recent NBER paper (see here http://www.nber.org/papers/w23543) clearly confirms several sub-theses of the twin secular stagnations hypothesis, namely that the current slowdown is

  1. Non-cyclical (extend to prior to the Global Financial Crisis);
  2. Attributable to "the slow growth of total factor productivity" 
  3. And also attributable to "the decline in labor force participation".

Tuesday, May 16, 2017

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


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





















Tuesday, December 20, 2016

19/12/16: Why Investment-less Growth: Explaining Secular Stagnation in Investment


One key component of the supply side secular stagnation is the notion that in recent years, corporate investment in the U.S. and other advanced economies have declined on a secular trend (or structurally). With low investment, there is low productivity growth and weak wages growth. The end result is not only lower economic growth, but also declining long term potential growth.

Since the thesis of supply side secular stagnation started making rounds in the economic policy literature, quite a few economists jumped into the debate proposing various explanations to the phenomena. To-date, however, there have not been an empirical study that looked at all reasonably plausible explanations on offer to assess which can account for the decline in capital investment.

German Gutierrez Gallardo and Thomas Philippon, in there paper “Investment-Less Growth: An Empirical Investigation” published this month by NBER do exactly that. The authors “analyze private fixed investment in the U.S. over the past 30 years.”

First, the authors establish that indeed, “investment is weak relative to measures of [firm] profitability and valuation – particularly Tobin’s Q, and that this weakness starts in the early 2000’s.” In other words, whilst firms remain profitable, they simply do not reinvest their profits at the same rate today as in the 1990s.

Per authors, there are “two broad categories of explanations: theories that predict low investment because of low Q, and theories that predict low investment despite high Q.”

As a reminder, Tobin’s Q is a ratio of total market value of the firm to total asset value of asset held by the firm. In simple terms, higher Q means that market value of the firm is higher relative to the cost of replacing the capital and other assets owned by the firm. Thus, a Q between 0 and 1 means that the cost to replace a firm's assets is greater than the value of its stock, so the stock is considered to be undervalued. A Q greater than 1 in contrast implies that a firm's stock is more expensive than the replacement cost of its assets, so the stock is overvalued.

So under the fist argument, if we observe low Q, firms are undervalued by the market and have no incentive to invest as they cannot raise capital for such investment from the markets that perceive the firm’s asset value to be already high (or above the firm value established in the market).

Under the second argument, something other than market valuations drives firm decision to invest or not. What that ‘something other’ is is a matter of various theories.

  1. Some theories postulate that in the presence of financial market imperfections (high costs, low liquidity supply, high risk premiums etc), low investments prevail even when Q is high (market value of the firm >> total assets value). 
  2. Other theories, including the one that is currently most favoured as an explanation for dramatic decline in productivity growth in recent years (over the alternative explanation of the ‘secular stagnation’ thesis), the problem is that even with high Q, there might be low investment because there is mis-measurement in the markets as to the value of total assets of the firm. This can happen when there are intangible (hard to value) assets held by the firm, or when assets are dispersed across different currencies, markets and geographic, making them hard to value. It is worth noting that the argument of intangibles is commonly used today to argue that there is no real secular stagnation or decline in productivity growth because “things are simply not measured properly anymore”.
  3. Another view is that decreased competition (either due to technology - e.g. mega aggregators platforms such as google and apple, or due to regulation, or due to trade wars raging on, or broader trend of regionalisation of trade, etc) can reduce investment even in the times of higher Q (high market valuations).
  4. Finally, there is always a view that firms might under-invest because of short-termism in management strategies or due to restrictive investment climate induced by tighter risk governance (the latter point may overlap with regulatory constraints).


The authors find no support for the first argument. In other words, they find that low Q is not causing low investment. No surprise here, as markets are hardly in the mood of attaching low value to firms. In fact, we have been going through a massive uplift in M&As and equity valuations.

Which means that low investment is happening despite high market valuations - we are in the second set of arguments.

The authors “do not find support for theories based on risk premia, financial constraints, or safe asset scarcity”. They also find “only weak support for regulatory constraints.”

“Globalization and intangibles explain some of the trends at the industry level, but their explanatory power is quantitatively limited,” and does not provide support for aggregate - across economy - explanation of low investment.

So here comes the kicker: “we find fairly strong support for the competition and short-termism/governance hypotheses. Industries with less entry and more concentration invest less, even after controlling for current market conditions. Within each industry-year, the investment gap is driven by firms that are owned by quasi-indexers and located in industries with less entry/more concentration. These firms spend a disproportionate amount of free cash flows buying back their shares.”

Let’s sum this up: short-termism is a problem that holds firms from investing more, and it is more pronounced in industries with less competition. Firms which are owned by investors or funds that focus on indexing (pursue investment returns in line with broader indices, e.g. benchmarking to S&P500) invest less. The investment part of secular stagnation thesis, therefore, is linked at least indirectly to financialization of the economies: the greater is the weight of broad markets in investor decision-making, the lower the investment and the shorter is the time horizon, it appears.



Full paper: Gutierrez Gallardo, German and Philippon, Thomas, Investment-Less Growth: An Empirical Investigation (December 2016). NBER Working Paper No. w22897. https://ssrn.com/abstract=2880335

Monday, December 19, 2016

19/12/16: Income Polarization in the U.S.: Building Blocks of Trumplitics


Having just reviewed some fresh evidence on the trends and underlying drivers of declining wage growth rates in the U.S. post-Global Financial Crisis (GFC) in the previous post here: , now let’s take a look at some current state of research on income inequality dynamics. In general, relative income dynamics can be driven by increases in income at the top of the income distribution relative to the rest of the distribution - the so-called 1% effect or inequality factor; or by decreases in income distribution at the bottom of distribution - another inequality factor; or they can be driven by the decline in incomes in the middle of income distribution relative to both top earners and bottom earners (polarisation).

A new study from the IMF concerns with the latter type of dynamic. Titled “Income Polarization in the United States” and authored by Ali Alichi, Kory Kantenga, Kory and Juan Solé, study documents “the rise of income polarization - what some have referred to as the 'hollowing out' of the income distribution - in the United States, since the 1970s.”

The key findings are:




“While in the initial decades more middle-income households moved up, rather than down, the income ladder, since the turn of the current century, most of polarization has been towards lower incomes.” In other words, the middle class is increasingly joining the poor, rather than the upper classes.

And this holds for all demographic cohorts or the U.S. population:

CHARTS: Middle-Income Population 1970-2014 (percent of total population with the same characteristic)
 So the younger cohorts are now experiencing more hollowing out of the middle class than the older cohorts and this trend started manifesting itself around 2000.

 Education no longer protects the middle class, either.

And in racial terms, there is more marked decline in the fortunes of the middle class for the whites, whilst the recovery of the 1990s-2007 period in the fortune of the African-Americans  has been reduce by more than 50 percent since the onset of the GFC.

Similarly to race trends, gender trends offer nothing to be proud of.

“…after conditioning on income and household characteristics, the marginal propensity to consume from permanent changes in income has somewhat fallen in recent years.” Put differently, when today’s middle class workers receive a wage increase, they tend to save more and spend less out of that increase than before. This can only occur if today’s middle class workers are saving more from wages increases. Incidentally, the authors also show that the same has taken place for higher income households.



Secular decreases in MPC can reflect either increased investment (from savings) or increased precautionary savings (including savings used to buffer against liquidity risks). Unfortunately, the authors do not look into which effect is at play here, or (if both are) which effect dominates.

And here is another conclusion from the authors worth noting: “Income polarization has risen substantially in the past four decades—much the same, if not even faster than inequality.”


Which, of course, helps explain why we are witnessing activist voting by the disenchanted, angry middle class voters. You can blame political candidates, you can blame the media, you can blame outside forces and powers. But you can't avoid one simple conclusion: the U.S. middle class is pis*ed off with the status quo. For one very good reason that the status quo doesn't work for them.


Full study here: Alichi, Ali and Kantenga, Kory and Solé, Juan A., Income Polarization in the United States (June 2016). IMF Working Paper No. 16/121. https://ssrn.com/abstract=2882555

19/12/16: U.S. Wages (Lack of) Growth: a Structural Crisis


One of the persistent features of today’s economy is the decline in wage growth and lower returns to human capital, relative to financial capital. Starting with 2010 - the onset of the so-called ‘recovery’ from the Great Recession - annual hourly earnings rose only 2 percent (data through 2015), which is about 1.5 percentage points lower than prior to the Global Financial Crisis (GFC).

This phenomena is not exactly new, but it is becoming increasingly alarming from the point of view of contagion from economic displacement risks to political risks. You don’t need to travel far to spot the issue: just consider the recent U.S. Presidential elections, dominated (apart from dirt flinging between the candidates) by the plight of the disappearing middle class.

A recent paper by Stephan Danninger (IMF), linked below, titled  “What's Up with U.S. Wage Growth and Job Mobility?” tries to determine the key reasons for this change in the structure of the U.S. economy.

Danger documents the problem in chart 1 below:



The above chart shows that the decline in wages growth has been pronounced in the face of other labour market dynamics, including the unemployment rate. Which suggests that structural change or structural factors should be more pronounced as the drivers of this trend. This contrasts with previous recessions, when cyclical factors dominate during the early stages of recovery. Per Danninger, evidence points to the fact that following “the deep recession and slow recovery” the U.S. have witnessed “skill erosion and reduced employability of marginal workers. Once labor demand picked up and employment reached workers less attached to the labor market, low entry wages, suppressed average wage growth.”

However, in addition to the above factors, “Davis and Haltiwanger (2014) and Haltiwanger (2015) have pointed to a secular decline in labor market fluidity and business dynamism as possible factors. With productive firms growing less rapidly and the speed of labor reallocation across sectors flagging, technological advances permeate slower through the economy. Labor productivity has been strikingly low in recent years averaging only 0.5 percent during 2013–15 and moves up the wage ladder have become rarer.”

Institutional factors also contribute to anaemic wage growth: “…declines in workers’ bargaining power as a result of less unionization and the emergence of alternative employment arrangements of the “gig” economy (Card and Krueger 2016; Mach and Holmes 2008) have further weighed on average income gains.”

To better disentangle role of cyclical and structural factors, Danninger poses three questions:
1) “Is labor market repair still weighing on recent wage growth?”
2) “Has the relationship between labor market slack and wage growth permanently changed, i.e. has the Wage-Growth Phillips curve flattened?” Note: Wage-Phillips curve implies inverse relationship between money wage changes and unemployment
3) “Focusing on job-to-job mobility, what is driving the decline in labor market churning?”

So key findings are: 

1) “…post-GFC larger declines in local unemployment rates are associated with smaller increases in average wages. …after controlling for the tightness of the local labor market, decreases (increases) in local (county-level) unemployment rates tend to reduce (raise) the average hourly wage rate in the same locality. The preferred interpretation of this effect is a moderating offset of average wage growth through the entry (exit) of low wage earners. This interpretation is consistent with recent findings that the reintegration of workers at the margins of the labor market is holding down median wage rates (Daly and Hobijn 2016).” In other words, when unemployment rises, layoffs predominantly impact those with lower wages (earlier in their careers, part-timers, contract employees, and those with lower productivity), and when unemployment starts to fall, re-hires tend to be of lower average quality than those who managed to stay in employment through the period of higher unemployment.

2) “…structural changes in the labor market are also affecting wage growth”. Which is the main kicker of the paper. Structural changes are those that extend beyond cyclical - recession-linked - factors and as such are long-term trends. Per Danninger, “the wage-growth-Phillips curve has flattened. Declines of unemployment rates …provide a smaller boost to wage growth after the GFC than in the past. …after 2008 wages of full-time full-year employed do not commove with local unemployment rates, while they did prior to the
GFC. …Labor market data up to 2014 no longer show evidence of a similar kink in the post GFC period.”


3) “Job-to-job change rates—associated with higher wage growth—have declined well before the GFC. …post 2000 demographic changes, in particular labor force aging or changes in education, cannot account for the sustained decline in job-to-job transition rates. Rather job-to-job turnover rates have fallen in all education and age groups, irrespective of the tightness of the regional labor market. This common feature is not easily explained by more positive interpretations, such as better job matching or higher return to job tenure (Molly et al 2016).” Traditionally, those who change jobs - job-to-job movers - earn higher wage premia in terms of moving to higher wage growth jobs from lower wage growth jobs. This no longer holds.




As Danninger notes, “these findings have important implications for future wage growth. In the near term, as continued job growth reduces the remaining employment gap — and with it headwinds from the re-employment of low-wage workers—average wage growth is expected to accelerate.”



“However, a return to sustained high wage growth rates is uncertain. The
flattening of the wage-Phillips curve post-GFC points to broader structural changes in the labor market.”

So in summary, including my take on this:

  • Job-turnover rates have fallen and continue to decline. 
  • “Job-to-job transitions — associated with higher wage growth — have slowed across all skill and age groups”
  • The above means that the new - post-GFC - labour markets are no longer consistent with ‘normal’ recoveries and that we might be in a structural period of decline in wages growth.
  • This, in turn, suggests that both secular stagnations (demand and supply theses) are cross-linked through the labour markets (lower wages growth triggers lower demand growth, leading to slower investment, resulting in slower productivity growth).




Full paper is available here: Danninger, Stephan, What's Up with U.S. Wage Growth and Job Mobility? (June 2016). IMF Working Paper No. 16/122. https://ssrn.com/abstract=2882557

Saturday, September 17, 2016

17/9/16: The Mudslide Cometh for Your Ladder


One chart that really says it all when it comes to the fortunes of the Euro area economy:


And, courtesy of these monetary acrobatics, we now have private corporates issuing debt at negative yields, nominal yields...  http://blogs.wsj.com/moneybeat/2016/09/15/negative-yielding-corporate-debt-good-for-your-wealth/.

The train wreck of monetarist absurdity is now so far out on the wobbly bridge of economic systems devoid of productivity growth, consumer demand growth and capex demand that even the vultures have taken into the skies in anticipation of some juicy carrion. With $16 trillion (at the end of August) in sovereign debt yielding negative and with corporates now being paid to borrow, the idea of the savings-investment link - the fundamental basis of the economy - makes about as much sense today as voodoo does in medicine. Even WSJ noted as much: http://www.wsj.com/articles/the-5-000-year-government-debt-bubble-1472685194.

Which brings us to the simple point of action: don't buy bonds. Don't buy stocks. Hold defensive assets in stable proportions: gold, silver, land, fishing rights... anything other than the fundamentals-free paper.

As I recently quipped to an asset manager I used to work with:

"A mudslide off this mountain of debt will have to happen in order to correct the excesses built up in recent years. There is too much liquidity mass built into the markets devoid of investment demand, and too weak of an economy holding it. Everywhere. By fundamental metrics of value-added growth and organic demand expansion potential, every economy is simply sick. There is no productivity growth. There is no EPS growth, even with declining S down to waves of buy-outs. There is debt growth, with no capex & no EPS growth to underwrite that debt. There is a global banking system running totally on fumes pumped into it at an ever increasing rate by the Central Banks through direct monetary policies and by indirect means (regulatory shenanigans of ever-shifting capital and assets quality revisions). There is no trade growth. There is no market growth for trade. Neither supply side, nor demand side can hold much more, and countries, like the U.S., have run out of ability to find new lines of credit to inflate their economies. Students - kids! - are now so deep in debt before they even start working, they can't afford rents, let alone homes. Housing shortages & rents inflation are out of control. GenZ and GenY cannot afford renting and paying for groceries, and everyone is pretending that the ‘shared economy’ is a form of salvation when it really is a sign that people can’t pay for that second bedroom and need roommates to cover basic bills. Amidst all of that: 1% is riding high and dragging with it 10% that are public sector ‘heroes’ while bribing the 15% that are the elderly and don't give a damn about the future as long as they can afford their prescriptions. Take kids out of the equation, and the outright net recipients of subsidies and supports, and you have 25-30% of the total population who are carrying all the burden for the rest and are being crushed under debt, taxes and jobs markets that provide shit-for-wages careers. Happy times! Buy S&P. Buy penny stocks. Buy bonds. Buy sovereign debt. Buy risk-free Treasuries… Buy, Buy, Buy we hear from the sell-side. Because if you do not 'buy' you will miss the 'ladder'... Sounds familiar, folks? Right on... just as 2007 battle cry 'Buy Anglo shares' or 2005 call to 'Buy Romanian apartments' because, you know... who wants to miss 'The Ladder'?.."

Monday, September 5, 2016

4/9/16: Earnings per Share


You know the meme: corporate sector is healthy world over and the only reason there is no investment anywhere in sight on foot of the wonderfully robust earnings is that… err… political uncertainty around the U.S. elections. Because, of course, political uncertainty is everything…

Except when you look at EPS

H/T @zerohedge 

Now, what the above is showing?
1) EPS is down in the politically ‘uncertain’ U.S.
2) EPS is even more down in the politically less ‘uncertain’ Europe (though you can read on that subject here: http://trueeconomics.blogspot.com/2016/09/4916-some-points-on-russian-european.html
3) EPS has been falling off the cliff since the ‘political uncertainty’ (apparently) set in 4Q 2012 in the U.S. One guess is the markets expected, correctly, the epic battle between The Joker and the Corporate Godzilla back then. And in Europe, since mid 2013, apparently, markets had foresight of who knows what back then.


But never mind, there is no secular stagnation anywhere, because earnings are, apparently very very healthy… very robust… very encouraging… All of which means just one thing: the markets are not overpriced or overbought. Pass de Kool-Aid, lads!