Salient Signals of Economic Transitions in Analyst Forecasting: Evidence from the Electric Vehicle Era

Xueqing Geng Author
Singapore Management University
Singapore, WA 
Singapore
 
Yonghao Zhai Co-Author
Singapore Management University
Boston, MA 
United States
 
Jarrad Harford Co-Author
University of Washington
 
Weikai Li Co-Author
City University of Hong Kong
 
Jesse Chan Discussant
Boston University
Boston, MA 
United States
 
Sat, 1/24/2026: 2:00 PM - 3:30 PM CST
Room: 3rd Floor, Buttonbush 

Abstract

We examine how salient signals of broad economic trends shape financial analysts' forecasting, using U.S. MSA-level electric vehicle (EV) adoption as a proxy for local environmental salience. After controlling for MSA, analyst, and firm characteristics, analysts in high-EV areas make more accurate forecasts for green firms. This improvement reflects not a net gain in forecasting ability, but a reallocation of limited attention and effort towards green firms. The effect is stronger among male, younger, and less busy analysts, in climate-conscious regions, and for harder-to-value firms, and is accompanied by more frequent forecast revisions, greater climate-related engagement during earnings calls, and increased use of opportunity-oriented climate language in analysts' reports. Markets respond more strongly to forecast revisions by these analysts, and the information environment of green firms improves under their coverage.