Sunday, May 3, 2020

3/5/20: Financial Strength Across Emerging Markets


A somewhat simplified, but nonetheless telling heat map of financial strengths and vulnerabilities across emerging market/middle income economies via the Economist:


I have outlined European economies included (for some strange reason, the Baltics are not in the assessment, neither are Bulgaria, Moldova, etc). The top 9 as well as those ranked 11th, 12th and 15th are economies with no risk category at or below 'moderate'.  The bottom 15 have no risk category within a 'safety' zone.

Have fun with these...

3/5/20: Updated: The Scariest Chart in Economics


Updating one of the two 'Scariest Charts' in economics with the latest data - preliminary, through April 25, 2020:


This goes hand-in-hand with the earlier chart here: https://trueeconomics.blogspot.com/2020/05/3520-updated-shocking-wave-of-jobs.html

The speed and the depth of jobs destruction in the U.S. during the last two months has been beyond precedent. 

3/5/20: Updated: Shocking Wave of Jobs Destruction


Updating my previous post on the subject of jobs losses in the U.S. (https://trueeconomics.blogspot.com/2020/04/230420-shocking-wave-of-jobs.html):


We are now one week away from the unemployment claims filed in March-May 2020 exceeding the grand total of all jobs destroyed during all U.S. recessions between 1945 and 2019. That is, before actually exceeding the number of all jobs destroyed over all recessions over 75 years combined.

Current estimated non-farm payrolls are approximately back to 1997 levels, throwing payroll numbers some 23 years back within the span of just 2 months:


Friday, May 1, 2020

1/5/20: US vs EU COVID19 cases and deaths


Updating my data charts for EU27 comparatives to the U.S. in the number of cases, deaths and death rates:


Thursday, April 30, 2020

30/4/20: No, Healthcare Systems are Not Lean Startups, Mr. Musk


A tweet from @elonmusk yesterday has prompted a brief response from myself:

https://twitter.com/GTCost/status/1255681426445365248?s=20

For two reasons, as follows, it is worth elaborating on my argument a little more:

  1. I have seen similar sentiment toward authorities' over-providing healthcare system capacity in other countries as well, including, for example in Ireland, where the public has raised some concerns with the State contracting private hospitals for surplus capacity; and
  2. Quite a few people have engaged with my response to Musk.
So here are some more thoughts on the subject:

'Lean startups' is an idea that goes hand-in-hand with the notion that a startup needs some organic growth runway. In other words, it needs to ‘nail’ parts of its business model first, before ‘scaling’ the model up. ‘Nailing’ bit is done using highly scarce resources pre-extensive funding (which is a ‘scaling’ phase). It makes perfect sense for a start up, imo, for a startup.

But in the ‘nailing’ stage, when financial resources are scarce, the startup enterprise has another resource is relies upon to execute on a ‘lean’ strategy: time. Why? Because a ‘lean’ startup is a smaller undertaking than a scaling startup. As a result, failure at that stage carries lower costs. In other words, you can be ‘lean’ because you are allowed to fail, because if you do fail in that stage of development, you can re-group and re-launch. You can afford to be reactive to news flows and changes in your environment, which means you do not need to over-provide resources in being predictive or pro-active. Your startup can survive on lean funding.

As you scale startup, you accumulate resources (investment and retained earnings) forward. In other words, you are securing your organization by over-providing capacity. Why? Because failure is more expensive for a scaling startup than for a 'lean' early stage startup. The notion of retained and untilized cash is no longer the idea of waste, but, rather a prudential cushion. Tesla, Mr. Musk's company, carries cash reserves and lines of credit that it is NOT using at the moment in time precisely because not doing so risks smaller shocks to the company immediately escalating into existential shocks. And a failure of Tesla has larger impact than a failure of small 'lean' startup. In other words, Mr. Musk does not run a 'lean startup' for a good reason. Now, in a public health emergency with rapid rates of evolution and high degree of forecast uncertainty, you cannot be reactive. You must allocate resources to be pro-active, or anticipatory. In doing so, you do not have a choice, but to over-supply resources. You cannot be ‘lean’, because the potential (and highly probable) impact of any resource under-provision is a public health threat spinning out of control into a public health emergency and a systemic shock. ‘Lean’ startup methods work, when you are dealing with risk and uncertainty in a de-coupled systems with a limited degree of complexity involved and the range of shocks impact limited by the size of the organization/system being shocked. Public health emergence are the exact opposite of such a environment: we are dealing with severe uncertainty (as opposed to risk) with hugely substantial impacts of these shocks (think thousands of lives here, vs few million dollars in investment in an early stage start up failure). We are also dealing with severe extent of complexity. High speed of evolution of threats and shocks, uncertain and potentially ambiguous pathways for shocks propagation, and highly complex shock contagion pathways that go beyond the already hard-to-model disease contagion pathways. So a proper response to a pandemic, like the one we are witnessing today, is to use an extremely precautionary principle in providing resources and imposing controls. This means: (1) over-providing resources before they become needed (which, by definition, means having excess capacity ex-post shock realization); (2) over-imposing controls to create breaks on shock contagion (which, by definition, means doing too-much-tightening in social and economic environment), (3) doing (1) and (2) earlier in the threat evolution process rather than later (which means overpaying severely for spare capacity and controls, including - by design - at the time when these costs may appear irrational). And (4), relying on the worst-case-scenario parameterization of adverse impact in your probabilistic and forecasting analysis and planning. This basis for a public health threat means that responses to public health threat are the exact opposite to a ‘lean’ start up environment. In fact they are not comparable to the ‘scaling up’ start up environment either. A system that has a huge surplus capacity left in it, not utilized, in a case of a start up is equivalent to waste. Such system’s leadership should be penalized. A system that has a huge surplus capacity left un-utilized, in a case of a pandemic is equivalent to the best possible practice in prudential management of the public health threat. Such system’s leadership should be applauded.

And even more so in the case of COVID pandemic. Mr. Musk implies something being wrong with California secured hospital beds capacity running at more than double the rate of COVID patients arrivals. That's the great news, folks. COVID pandemic carries infection detection rates that double the population of infected individuals every 3-30 days, depending on the stage of contagion evolution. Earlier on, doubling times are closer to 3 days, later on, they are closer to 30 days. But, utilization of hospital beds follows an even more complex dynamic, because in addition to the arrival rates of new patients, you also need to account for the duration of hospital stay for patients arriving at different times in the pandemic. Let's be generous to sceptics, like Mr. Musk, and assume that duration-of-stay adjusted arrivals of new patients into the hospitals has a doubling time of the mid-point of 3-30 days or, close to two weeks. If California Government did NOT secure massively excessive capacity for COVID patients in advance of their arrival, the system would not have been able to add new capacity amidst the pandemic on time to match the doubling of new cases arrivals. This would have meant that some patients would be able to access beds only later in the disease progression period, arriving to hospital beds later in time, with more severe impact from the disease and in the need of longer stays and more aggressive interventions. The result would have been even faster doubling rate in the demand for hospital beds with a lag of few days. You can see how the system shortages would escalate out of control.

Running tight supply chains in a pandemic is the exact opposite to what has to be done. Running supply capacity at more than double the rate of realized demand is exactly what needs to be done. We do not cut corners on basic safety equipment. Boeing did, with 737-Max, and we know where they should be because of this. We most certainly should not treat public health pandemic as the basis for cutting surplus safety capacity in the system.

29/4/20: Surprising Effects of COVID19 on U.S. Labor Force


Mid-run COVID pandemic effects on U.S. employment, unemployment and labour force participation rates via: https://voxeu.org/article/labour-markets-during-covid-19-crisis-preliminary-view



The striking collapse in estimated participation rate is down to several factors, some expected, some less so. Per authors:

"Why do so many unemployed choose not to look for work? ... Prior to the crisis, most respondents out of the labour force claimed that it was because they were retired, disabled, homemakers, raising children, students, or did not need to work. Only 1.6% of those out of the labour force were claiming that they could not find a job as one of their reasons for not searching. At the height of the Covid-19 crisis with a much larger number of people now out of the labour force, we see corresponding declines in the share of homemakers, those raising children and the disabled. However, we see a large increase in those who claim to be retired, going from 53% to 60%. This makes early retirement a major force in accounting for the decline in the labour-force participation. Given that the age distribution of the two surveys is comparable, this suggests that the onset of the Covid-19 crisis led to a wave of earlier-than-planned retirements. With the high sensitivity of seniors to the Covid-19 virus, this may reflect in part a decision to either leave employment earlier than planned due to higher risks of working or a choice to not look for new employment and retire after losing their work in the crisis."

This is interesting and far-reaching. If true, such changes provide some - rather substantial - clearing of the path to promotion and career advancement by the older generation of GenX-ers. But it also might be a feature of the COVID-relted layoffs that could have been accompanied by the longer-term jobs destruction in sub-occupations and sub-sectors that tend to simultaneously attract senior or in-retirement workers and be associated with higher degree of person-to-person contacts, e.g. in basic services.

Either way, the implications for the younger generations of the COVID19 crisis remain highly uncertain, but for older generations, earlier retirement and forced retirement is usually associated with lower income in retirement. After all, people in retirement age were not working for purely social reasons before COVID19 pandemic hit.


Sunday, April 26, 2020

26/04/20: #COVID19 Update: Charts and Rates


Updating some COVID19 charts and stats:

U.S. vs EU27 cases and deaths:



Death and Infection Rates for G7+Spain:



Death and Infection Rates for BRIICS:


Russia:


Friday, April 24, 2020

24/4/20: "Sentiment at German companies is catastrophic" ifo Institute


ifo Institute's German business sentiment barometer out today. Direct quote: "Sentiment at German companies is catastrophic. The ifo Business Climate Index crashed from 85.9 points in March to 74.3 points in April. This is the lowest value ever recorded, and never before has the index fallen so drastically. This is primarily due to the massive deterioration in the current\ situation. Companies have never been so pessimistic about the coming months. The coronavirus crisis is striking the German economy with full fury."
Here's the bigger kicker: Expectations plunged more over the last 3 months than current situation assessments, down from 93.8 in December 2019 to 69.4 in April 2020, as compared to the current situation index drop from 98.8 to 79.5 over the same period.

Two key sectors: woeful dynamics


Thursday, April 23, 2020

23/04/20: Shocking Wave of Jobs Destruction in the U.S. Update


Updating my earlier post https://trueeconomics.blogspot.com/2020/04/18420-shocking-wave-of-jobs-destruction.html with latest data through April 18, 2020:


Five weeks worth of jobs destructions / furloughs since the onset of COVID19 pandemic is now greater than all jobs destroyed in all U.S. recessions from 1953 through 2009.

23/4/20: U.S. Labor Force Participation Rate Heading into COVID19 Disaster


Adding to the two scariest charts in economic history (see https://trueeconomics.blogspot.com/2020/04/1942020-two-scariest-charts-in-economic.html), a third chart, showing changes in the U.S. labor force participation rates during and following recessions:

The above clearly shows that 2008-2009 recession has been unique in the history of the U.S. economy not only in terms of the unprecedented duration of unemployment (link above), but also in terms of the scale of exits from the labor force. In fact, this was the first recession on record that resulted in post-recession recovery not reaching pre-recession high in terms of labor force participation rates.

23/4/20: What Oil Price Dynamics Signal About Future Growth


My column at The Currency this week covers the fundamentals of oil prices and what these tell us about the markets expectations for economic recovery: https://www.thecurrency.news/articles/15674/supply-demand-and-the-dilemma-of-trade-what-the-collapse-in-oil-prices-tells-you-about-post-covid-10-economy.


Key takeaways:

  • "...current futures market pricing is suggesting that traders and investors expect much slower recovery from the Covid-19 pandemic than the V-shaped one forecast by the analysts’ consensus and the like of the IMF and the World Bank. 
  • "As a second order effect, oil markets appear to be pricing post-Covid-19 economic environment more in line with below historical trends global growth, similar to that evident in the economic slowdown of 2018-2019, rather than a substantial expansion on foot of the sharp Covid- shock."

Wednesday, April 22, 2020

22/4/20: Eurozone Growth Forecasts


April data on analysts and institutional forecasts for Eurozone growth over 22 sources, including a range of investment banks and international institutions are summarized here:


So far, estimated 2020-2021 economic fallout from COVID19 pandemic is in the range of 3.48-3.87 percentage points compared to January forecasts. In other words, markets expectations are currently at 2021 full year real GDP being 3.48-3.97 percent below the market consensus forecast back in January. Markets are now pricing in cumulative 2020-2021 decline in GDP of 1.22-1.70 percentage points on 2019 levels. Put differently, by the end of 2021, investment banks and international institutions are, on average, expecting the Eurozone economy to be 1.22-1.7 percentage points worse than at the end of 2019.

Should 2019 growth rate prevail in 2022, by the end of 2022, based on the above forecasts, Eurozone economy will still be worse off than at the end of 2019.

These expectations are not consistent with a V-shaped recovery expectations by the majority of the European political leaders and media pundits.