Risks Factors that Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns

Working Papers

I introduce risk factors that not only explain the cross-section of returns, but also unambiguously represent economic risk for the firms, are interpretable, and come directly from the companies. I exploit machine learning and natural language processing techniques to identify from the 10-K annual reports the types of risks that firms face, and to quantify how much each firm is exposed to each type of risk.Read More

Bias-aware AI for Human Capital Management: An Innovative Approach for Algorithmic Job Screening

Funded Research Proposal

A well-known maxim in management is that “your people are your greatest asset”. Recruitment strategies in particular have been linked to firms’ innovative capacity, emphasizing the importance of maintaining competitive advantages in HR as a key goal of effective innovation management. Read More

Adoption of Predictive Analytics: Impact of Model Interpretability

Funded Research Proposal

One of the most important trends in business in recent years has been the growth of Big Data and predictive analytics. The trend started with traditional analytics and the emergence of decision support systems. With advances in machine learning (ML), systems can now take in large amounts of data, learn how human decision-makers have made decisions in the past, and make decisions autonomously (achieving human-level or superhuman performance in many activities). Read More

Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

Published Research

We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and Natural Language Processing algorithms.Read More

Using Machine Learning to Predict High-Impact General Technologies

Working Papers

Can machine learning techniques be used to predict high-impact, general technologies? We find that an ensemble of deep learning models that analyze both the text of patents as well as their bibliometric information can ex-ante identify such patents, accurately identifying 80 of the top 100 high generality patents in the hold-out sample. Read More

As Brands Embrace Artificial Intelligence, It’s The Human Touch That Will Drive Value

Justin Reilly discusses artificial intelligence at Verizon Fios

Justin Reilly (W’10), head of customer experience innovation for Verizon Fios, projects that 80% of value creation in artificial intelligence (AI) will be in business-to-business [B2B] applications, and the rest in consumer services.Read More