The 'invisible hand' doesn't control markets

August 28, 2018

Traditionally, many economists presume markets are influenced by the "invisible hand" theory. New research from Michigan State University found a disruptor has turned this long-held concept - perpetuated by Adam Smith since 1759 - on its head.

The disruptor does not have anything to do with technological advancements or innovation like one might expect - in fact, it's much simpler. It's a third party who interrupts a trading relationship. And contrary to Smith's theory, it is this third party, not the unobservable "invisible hand," that has a grip on the market to help the supply and demand of goods reach an equilibrium.

The researchers explained that when two people engage in a trading relationship, they establish trust with one another; one provides goods to the other at a certain price and vice versa. But eventually, because of this trust and loyalty, the two people will give favorable prices to one another.

"This kind of trading is consistent with a sociological theory we call 'embeddedness,' which suggests that economic activity is constrained by non-economic factors," said Kenneth Frank, MSU Foundation professor of sociometrics and co-author of the study. "But this could create a runaway train. What's to stop the favors from getting bigger and bigger, deviating more and more from the market average? Eventually, one of the two people is going to question the prices at which they're trading."

At that moment - when temptation to find a different price sparks - a third party steps in and disrupts the trading relationship.

"That third party might have a competitive offer and threaten the price-driving in which the two original parties engaged in," said Geoffrey Booth, co-author and Frederick S. Addy Distinguished Chair Emeritus of finance. "As people trade goods or favors back-and-forth, prices can go awry and eventually someone has to regulate them. That's where this third party comes in; it will keep them honest."

Once the third party comes into the picture to disrupt the original trading relationship, a new trading partnership is formed that involves the new person and one of the original traders. The trader that was left behind for a better price will go to form another partnership - and likely adjust his prices to meet market demands, Booth said.

Frank and Booth's findings were discovered after observing and researching two years of social and financial data from a Finnish stock market. They explained that the Finland-based Helsinki stock exchange was an ideal testing market because they could break down data and transactions from individual users who lived and worked in the same community - thus having personal relationships with one another.

"Helsinki is set up much like the NYSE, and when the data was gathered it was a classic human market, meaning that there are coalitions of people who share close networks," Booth said. "This way, we were able to observe the longevity of trading partnerships and what puts them at risk."

While the original research, to be published in Rationality and Society, pertains to a stock market, its findings are applicable to everyday life outside of the finance world - from the real estate market to a local farmers market -the researchers explained.

"The findings have implications for everything from why your broker might not have gotten the price he or she should have to local markets with dramatically different prices than the overall market, and even to the protections against market crashes by insulating some traders from full market forces," Frank said.

The researchers, which included Juha-Pekka Kallunki from University of Oulu and Yun-jia Lo, an independent scholar, also discussed that the partnership-driven high prices can provide a sign as to what's to come.

"You'll see these dynamics anywhere you see goods or services exchanged," Booth said. "You'll wonder why one price is much higher at one place than it is at another - and there's a good chance there is a disruption around the corner to bring it back to market value."
-end-


Michigan State University

Related Data Articles from Brightsurf:

Keep the data coming
A continuous data supply ensures data-intensive simulations can run at maximum speed.

Astronomers are bulging with data
For the first time, over 250 million stars in our galaxy's bulge have been surveyed in near-ultraviolet, optical, and near-infrared light, opening the door for astronomers to reexamine key questions about the Milky Way's formation and history.

Novel method for measuring spatial dependencies turns less data into more data
Researcher makes 'little data' act big through, the application of mathematical techniques normally used for time-series, to spatial processes.

Ups and downs in COVID-19 data may be caused by data reporting practices
As data accumulates on COVID-19 cases and deaths, researchers have observed patterns of peaks and valleys that repeat on a near-weekly basis.

Data centers use less energy than you think
Using the most detailed model to date of global data center energy use, researchers found that massive efficiency gains by data centers have kept energy use roughly flat over the past decade.

Storing data in music
Researchers at ETH Zurich have developed a technique for embedding data in music and transmitting it to a smartphone.

Life data economics: calling for new models to assess the value of human data
After the collapse of the blockchain bubble a number of research organisations are developing platforms to enable individual ownership of life data and establish the data valuation and pricing models.

Geoscience data group urges all scientific disciplines to make data open and accessible
Institutions, science funders, data repositories, publishers, researchers and scientific societies from all scientific disciplines must work together to ensure all scientific data are easy to find, access and use, according to a new commentary in Nature by members of the Enabling FAIR Data Steering Committee.

Democratizing data science
MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data.

Getting the most out of atmospheric data analysis
An international team including researchers from Kanazawa University used a new approach to analyze an atmospheric data set spanning 18 years for the investigation of new-particle formation.

Read More: Data News and Data Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.