Jie (Jack) He is a Professor of Finance at the University of Georgia. This post is based on a recent paper by Professor He, Sean Cao, Associate Professor of Accounting at the University of Maryland, Itay Goldstein, Professor of Finance at the University of Pennsylvania, and Yabo Zhao, Assistant Professor of Finance at the Chinese University of Hong Kong, Shenzhen.
The emergence of new technologies confronts firms with difficult decisions on resource allocation. Contemplating investments in these emerging technologies, firm managers have to assess the opportunities in a constantly changing environment without past records to learn from and with limited models of the costs and benefits involved. In recent years, we have seen two such emerging technologies – artificial intelligence (AI) and green (i.e., climate/environment-related) technologies – rising to huge prominence and increasingly capturing the attention of firm managers. How do they decide whether and how to invest in these technologies? What sources of information do they rely on for such decisions? Having better answers to these questions is crucial not only for understanding firms’ investment behaviors but also for understanding modern societies’ technological transformation more broadly. After all, the collective decisions of different firms determine the extent of emerging technology investment and the scope of economic transformation that could follow.
In this paper, we look at a prominent source of information – the stock market – and investigate how it has been used in the process of emerging technology investment. Financial markets have been found to be a powerful source of information: They aggregate the opinions of a diverse body of investors, are forward-looking, and respond rapidly to announcements and economic developments. A growing strand of literature has argued and shown that informational feedback from the financial markets can help guide the decision-making of corporate managers (see, e.g., Bond, Edmans, and Goldstein (2012) and Goldstein (2023)). Building on these insights, we examine how firms use information from the stock market when deciding on their investments in AI and green technologies. READ MORE
