Tag Archives: Capital

How ergodicity reimagines economics for the benefit of us all

By Mark Buchanan – The principles of economics form the intellectual atmosphere in which most political discussion takes place. Its prevailing ideas are often invoked to justify the organization of modern society, and the positions enjoyed by the most wealthy and powerful. Any threat to these ideas could also be an implicit threat to that power – and to the people who possess it. Their response might be brutal.

In the real world, through the pages of scientific journals, in blog posts and in spirited Twitter exchanges, the set of ideas now called ‘Ergodicity Economics’ is overturning a fundamental concept at the heart of economics, with radical implications for the way we approach uncertainty and cooperation. The economics group at LML is attempting to redevelop economic theory from scratch, starting with the axiom that individuals optimize what happens to them over time, not what happens to them on average in a collection of parallel worlds.

The new concept is a key theme of research initiated by Peters about a decade ago, and developed with the collaboration of Gell-Mann and the late Ken Arrow at SFI, and of Alex Adamou, Yonatan Berman and many others at the LML. Much of this view rests on a careful critique of a model of human decisionmaking known as expected utility theory.

But there is one odd feature in this framework of expectations – it essentially eliminates time. Yet anyone who faces risky situations over time needs to handle those risks well, on average, over time, with one thing happening after the next. The seductive genius of the concept of probability is that it removes this historical aspect by imagining the world splitting with specific probabilities into parallel universes, one thing happening in each.

The expected value doesn’t come from an average calculated over time, but from one calculated over the different possible outcomes considered outside of time. In doing so, it simplifies the problem – but actually solves a problem that is fundamentally different from the real problem of acting wisely through time in an uncertain world. more>

How America Lost Faith in Expertise

By Tom Nichols – I’m used to people disagreeing with me on lots of things. Principled, informed arguments are a sign of intellectual health and vitality in a democracy. I’m worried because we no longer have those kinds of arguments, just angry shouting matches.

I fear we are moving beyond a natural skepticism regarding expert claims to the death of the ideal of expertise itself: a Google-fueled, Wikipedia-based, blog-sodden collapse of any division between professionals and laypeople, teachers and students, knowers and wonderers—in other words, between those with achievement in an area and those with none. By the death of expertise, I do not mean the death of actual expert abilities, the knowledge of specific things that sets some people apart from others in various areas.

There will always be doctors and lawyers and engineers and other specialists. And most sane people go straight to them if they break a bone or get arrested or need to build a bridge. But that represents a kind of reliance on experts as technicians, the use of established knowledge as an off-the-shelf convenience as desired. “Stitch this cut in my leg, but don’t lecture me about my diet.”

The larger discussions, from what constitutes a nutritious diet to what actions will best further U.S. interests, require conversations between ordinary citizens and experts. But increasingly, citizens don’t want to have those conversations. Rather, they want to weigh in and have their opinions treated with deep respect and their preferences honored not on the strength of their arguments or on the evidence they present but based on their feelings, emotions, and whatever stray information they may have picked up here or there along the way.

This is a very bad thing. more>

Updates from Siemens

Transforming the Capital Asset Lifecycle – Part 1
By John Lusty – “Innovate or die”. Three years ago, in the global oil & gas industry, this was the dire message communicated from the boardroom to the operating plant as falling commodity prices were hollowing out corporate income statements. The same story echoed through the supply chain as engineering contractors and equipment manufacturers fought for survival – trying to win enough work to remain healthy within a shrinking capital project market while creating greater value from the existing capital asset lifecycle.

The cost-cutting that ensued was ugly, and the job losses were substantial. In parallel, the appetite for innovative ideas sky-rocketed as producers worked to wring out costs and remain profitable at any price. This triggered a new behavior within the traditionally siloed energy industry, for the first-time visionaries started to look to other manufacturing industries for capabilities that could be adapted to their own companies.

What they saw was a shock. Despite years of investing in software and technology, capital asset owners in the energy and process industries still had a long way to go to get full value from their technical information compared to other, more mature, industries. Unlike their business information which, to a greater degree, had been consolidated following two decades of ERP implementations, the technical information supporting their plant assets was still scattered across different locations and incompatible file formats.

To make matters worse, data from multiple projects and facilities used software from a variety of vendors along with their own standards and specifications. Plants that came in through acquisitions and mergers were even more unique. more>


America’s Hot New Job Is Being a Rich Person’s Servant

“Wealth work” is one of America’s fastest-growing industries. That’s not entirely a good thing.
By Derek Thompson – In an age of persistently high inequality, work in high-cost metros catering to the whims of the wealthy—grooming them, stretching them, feeding them, driving them—has become one of the fastest-growing industries.

The MIT economist David Autor calls it “wealth work.”

While there are reasons to be optimistic about this trend, there is also something queasy about the emergence of a new underclass of urban servants.

Wealth work falls into two basic categories. First, full-time retail and service jobs at places like nail salons and spas. “You’re talking about people with $30,000 incomes that are often employed in high-wealth metro areas, or resort economies,” Muro said.

Because they often cannot afford to live near their place o-f work, they endure long commutes from lower-cost neighborhoods. These arrangements aren’t merely time-consuming; they can also be exploitative. For example, New York City nail salons are notorious for flouting minimum-wage laws and other labor regulations, and massage parlors across Florida have served as fronts for human trafficking.

A second category is the “Uber for X” economy—that nebulous network of people contracted through online marketplaces for driving, delivery, and other on-demand services.

Optimistically, these jobs offer autonomy for workers and convenience for consumers, many of whom aren’t wealthy. But the business models that keep these firms aloft rely on the strategic avoidance of laws like the Fair Labor Standards Act, which regulates minimum wage and overtime pay. These laborers often do the work of employees with the legal protections of contractors—which is to say, hardly any. more>

Updates from Chicago Booth

Are investors chronically pessimistic?
No—but that doesn’t mean they adhere to rational expectations
By Dwyer Gunn – The assumption that investors hold rational expectations of market returns is central to many asset pricing models. However, in recent years, surveys of investors have revealed that market participants’ reported expectations often deviate from the objective predictions of financial models working with large pools of data. One theory is that these deviations are the result of persistent pessimism on the part of investors: survey respondents, according to this hypothesis, are discounting the rationally expected rate of return to reflect the risk of investing in stocks.

To examine whether investors have a pessimistic bias, Oxford’s Klaus Adam, the Bank of Canada’s Dmitry Matveev, and Chicago Booth’s Stefan Nagel examined existing evidence—including surveys of individual investors, professional investors, and CFOs going back to the 1980s—to compare expected returns with realized returns.

The research suggests that, contrary to the pessimism hypothesis, investors are just as likely to be optimistic.

Investor expectations closely matched realized market returns over the full length of time the researchers examined. But at any given time, expectations tended to be procyclical: investors expected higher returns during boom times in the stock market and lower returns during market contractions, even though many asset pricing models work in precisely the opposite direction.

Thus, the apparent conformity of investor expectations to market returns on average over time actually reflected investors’ biases—alternately optimistic and pessimistic, with the two balancing each other out. more>


Tackling precarity in the platform economy—and beyond

To focus on online platforms in isolation would miss the point that they are part of a wider phenomenon of spreading and intensifying precarity at work.

By Sacha Garben – In our increasingly digitalised world, a crucial role is played by online platforms. These platforms—dynamic websites which constitute digital public squares or marketplaces—affect the economy and our society in various ways and their regulation (or lack thereof) is increasingly the subject of public and political debate. Whether it be the way in which Facebook deals with personal and public information, the influence of Airbnb on our habitat, Uber’s effects on the taxi sector or the working conditions of Deliveroo couriers or tech-workers on Amazon Mechanical Turk, the ‘disruptive’ effects of the activities of the platforms regularly make headlines.

A key social problem is the labor status of those working in the online-platform economy. These drivers, riders, cleaners, designers, translators, technicians and others are often formally contracted as independent and their working arrangements tend to exhibit features which are difficult to square with the traditional employment relationship. These include use of their own materials (such as the driver’s car), autonomy concerning working hours (logging into work via a smartphone app), the short duration of the relationship (translation of perhaps a single sentence) and its multilateral character (the platform linking the producer and consumer).

At the same time, the worker may well be economically dependent on the platform work, the contractual independence can be constructed in rather artificial ways—such as if a driver works full-time for a platform for several years yet remains formally contracted per journey—and the platform can exert significant control over the work and the person performing it.

Furthermore, their ‘independent’ status often means platform workers lack the benefit of the social, labor, health and safety protections which in most countries are connected to an employment contract—even if their precarious working conditions and socio-economic position very much require such protection. more>

Updates from ITU

If we want to solve climate change, water governance is our blueprint
By Elizabeth Taylor – The phrase “fail to prepare or prepare to fail” comes to mind as we enter an era in which governments and communities must band together to mitigate climate change. Part of what makes our next steps so uncertain is knowing we must work together in ways that we have – so far – failed to do. We either stall, or offer up “too little, too late” strategies.

These strategies include cap-and-trade economic incentive programs, like the Kyoto Protocol and other international treaties. Insightful leaders have drawn attention to the issue, but lukewarm political will means that they are only able to defer greenhouse gas emissions-reduction targets in the future. A global crisis demands global commitment. How can we work together to face a universal threat? What of the complex challenges that demand unified monitoring and responses?

One principal impediment is the lack of coherent technical infrastructure.

Currently, our arsenal for facilitating collective action is understocked. Our policies are unable to invoke tide-turning change because they lack a cohesive infrastructure. In the absence of satisfactory tools to make them happen, our policies and pledges become feelgood initiatives rather than reaching full effectiveness.

What tools might lead us to act collectively against climate change? It’s easy to focus on the enormous scale of global cooperation needed, or the up-front investments it will take to mitigate the crisis. But as the writer E.L. Doctorow reminded us, we can’t be intimidated by the process: “Writing a novel is like driving a car at night,” he said. “You can see only as far as your headlights, but you can make the whole trip that way.”

We don’t have to possess all the answers as we set out to save our communities. We don’t have to know exactly what we will meet along the way. At a minimum, we must only understand how to use our headlights to see the first few feet ahead of us.

So what is the first step on our path?

It is the substance that underpins our industry, health and survival. It remains a central source of conflict around the world, yet it also creates partnerships. Our first step is water.

Water challenges us with issues of scarcity, quality and distribution. It may seem to be a local issue, but combined with local tensions and a globalized economy, water governance is set to become one of our greatest tests of diplomatic finesse and technological synergy.

If we can properly align local and global water governance and management, we can prepare the tools, the organizational blueprint and the political momentum needed to solve climate change. more>


Updates from Chicago Booth

How machine learning can improve money management<
By Michael Maiello – Two disciplines familiar to econometricians, factor analysis of equities returns and machine learning, have grown up alongside each other. Used in tandem, these fields of study can build effective investment-management tools, according to City University of Hong Kong’s Guanho Feng (a graduate of Chicago Booth’s PhD Program), Booth’s Nicholas Polson, and Booth PhD candidate Jianeng Xu.

The researchers set out to determine whether they could create a deep-learning model to automate the management of a portfolio built on buying stocks that are expected to rise and short selling those that are expected to fall, known as a long-short strategy. They created a machine-learning algorithm that built a long-short equity portfolio from the top and bottom 20 percent of a 3,000-stock universe.

They ranked the equities using the five-factor model of Chicago Booth’s Eugene F. Fama and Dartmouth’s Kenneth R. French. Fama and French break down the components of stock returns over time into five factors: market risk, in which stocks with less risk relative to their benchmark outperform those with more risk; size, in which companies with small market capitalizations outperform larger companies; value, where a low price-to-book ratio outperforms high; profitability, where higher operating profits outperform; and reinvestment, in which companies that reinvest outperform those that don’t. more>


Optimizing for Human Well-Being

By Douglas Rushkoff – The economy needn’t be a war; it can be a commons. To get there, we must retrieve our innate good will.

The commons is a conscious implementation of reciprocal altruism. Reciprocal altruists, whether human or ape, reward those who cooperate with others and punish those who defect. A commons works the same way. A resource such as a lake or a field, or a monetary system, is understood as a shared asset. The pastures of medieval England were treated as a commons. It wasn’t a free-for-all, but a carefully negotiated and enforced system. People brought their flocks to graze in mutually agreed- upon schedules. Violation of the rules was punished, either with penalties or exclusion.

The commons is not a winner-takes-all economy, but an all-take-the-winnings economy. Shared ownership encourages shared responsibility, which in turn engenders a longer-term perspective on business practices. Nothing can be externalized to some “other” player, because everyone is part of the same trust, drinking from the same well.

If one’s business activities hurt any other market participant, they undermine the integrity of the marketplace itself.

For those entranced by the myth of capitalism, this can be hard to grasp. They’re still stuck thinking of the economy as a two-column ledger, where every credit is someone’s else’s debit. This zero-sum mentality is an artifact of monopoly central currency.

If money has to be borrowed into existence from a single, private treasury and paid back with interest, then this sad, competitive, scarcity model makes sense. I need to pay back more than I borrowed, so I need to get that extra money from someone else. That’s the very premise of zero-sum.

But that’s not how an economy has to work. more>

Your Job Will Be Automated—Here’s How to Figure Out When A.I. Could Take Over

By Gwen Moran – Automation is increasingly making its way into the workplace, raising concerns among employees about the ways technology will change their jobs—or eliminate them entirely. A June 2019 report by Oxford Economics predicts that 8.5% of the world’s manufacturing positions alone—some 20 million jobs—will be displaced by robots by 2030.

Some tasks aren’t easy to evaluate. A 2013 paper, “The Future of Employment: How Susceptible are Jobs to Computerisation?” found that roughly 47% of jobs were at high risk of being automated with advances in artificial intelligence.

Carl Benedikt Frey, Ph.D., co-author of that paper and author of The Technology Trap: Capital, Labor, and Power in the Age of Automation says predictions around automation’s impact have become very polarized: Either you believe that the robots are coming for many jobs—leaving many with no employment—or you believe it’s going to change the nature of work. more>