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>
Posted in Banking, Book review, Business, Economy, Education, How to, Technology
Tagged Business improvement, Capital, Chicago Booth, Financial crisis, Skills
Why banning plastic bags doesn’t work as intended
Benefits of bag regulations are mitigated by changes in consumer behavior
By Rebecca Stropoli – As well-intentioned bans on plastic shopping bags roll out across the United States, there’s an unintended consequence that policy makers should take into account. It turns out that when shoppers stop receiving free bags from supermarkets and other retailers, they make up for it by buying more plastic trash bags, significantly reducing the environmental effectiveness of bag bans by substituting one form of plastic film for another, according to University of Sydney’s Rebecca L. C. Taylor.
Economists call this phenomenon “leakage”—when partial regulation of a product results in increased consumption of unregulated goods, Taylor writes. But her research focusing on the rollout of bag bans across 139 California cities and counties from 2007 to 2015 puts a figure on the leakage and develops an estimate for how much consumers already reuse those flimsy plastic shopping bags.
This is a live issue. After all those localities banned disposable bags, California outlawed them statewide, in 2016. In April 2019, New York became the second US state to impose a broad ban on single-use plastic bags. Since 2007, more than 240 local governments in the US have enacted similar policies.
She finds that the bag bans reduced the use of disposable shopping bags by 40 million pounds a year. But purchases of trash bags increased by almost 12 million pounds annually, offsetting about 29 percent of the benefit, her model demonstrates. Sales of small trash bags jumped 120 percent, of medium bags, 64 percent, and of tall kitchen garbage bags, 6 percent. Moreover, use of paper bags rose by more than 80 million pounds, or 652 million sacks, she finds. more>
Posted in Business, Economy, Education, How to, Nature, Net, Regulations, Science, Technology
Tagged Business improvement, Chicago Booth, Ecology, Economics, Internet, Skills