
Insights / Research Brief•Aug 10, 2023
ChatGPT and Corporate Policies
Manish Jha, Jialin Qian, Michael Weber, Baozhong Yang
Investment scores generated by ChatGPT using conference call transcripts are strongly predictive of companies’ future capital expenditures for up to nine quarters, controlling for other predictors. The scores also predict intangible investment, R&D, and total investment, and are negatively correlated with future stock returns.
Topics:
Technology & Innovation

Insights / Research Brief•May 04, 2023
Bloated Disclosures: Can ChatGPT Help Investors Process Information?
Alex G. Kim, Maximilian Muhn, Valeri Nikolaev
Using GPT to summarize corporate disclosures results in summaries that are shorter and more informative than the originals. “Bloated” disclosures – or, those with more uninformative content – are associated with adverse capital market outcomes.
Topics:
Technology & Innovation
Insights / Research Brief•May 04, 2023
How Important Is Corporate Governance? Evidence from Machine Learning
Ian D. Gow, David F. Larcker, Anastasia A. Zakolyukina
Little support exists for a strong causal relation between corporate governance and firm outcomes, which are rather driven by such characteristics as profitability, liquidity, and growth, among others.
Topics:
Technology & Innovation
Insights / Podcast episode•Mar 21, 2023
Social Media Algorithms: How You’re Curating a Biased News Feed
Tess Vigeland, Sendhil Mullainathan
Social media behaviors, moving at an ever faster pace, may not reflect what users really...
Topics:
Technology & Innovation

Insights / Research Brief•Mar 14, 2023
Machine Learning as a Tool for Hypothesis Generation
Jens Ludwig, Sendhil Mullainathan
By applying machine-learning algorithms to human behavior data, this paper offers a novel approach to hypothesis generation for scientific research; the authors apply this framework to reveal that judges rely on facial characteristics of defendants when making incarceration decisions.
Topics:
Technology & Innovation

Insights / Research Brief•Sep 27, 2022
The Human Perils of Scaling Smart Technologies: Evidence from Field Experiments
John List, Alec Brandon, Christopher M. Clapp, Robert D. Metcalfe, Michael Price
This novel research finds little evidence that smart thermostats have a statistically or economically significant effect on energy use, thus challenging assumptions about the effective scaling of new user-based technologies.
Topics:
Technology & Innovation

Insights / Research Brief•Sep 09, 2022
Estimating the Value of Offsite Data to Advertisers on Meta
Nils Wernerfelt, Anna Tuchman, Brad Shapiro, Robert Moakler
Online advertisers benefit from data that are shared across applications; loss of such data would increase costs per incremental customer for the median advertiser by 37% and mainly impact advertisers in consumer-packaged goods, e-commerce, and retail.
Topics:
Technology & Innovation
Insights / Research Brief•Jul 18, 2022
The Economic Limits of Bitcoin and Anonymous, Decentralized Trust on the Blockchain
Eric Budish
Bitcoin’s new form of decentralized trust suffers from a pick-your-poison conundrum with two possible outcomes: Either this trust is extremely expensive relative to its economic usefulness, or it is vulnerable to collapse.
Topics:
Technology & Innovation