Deadline Specificity in Corporate Promises and Investor Revisions After Missed Commitments

Abstract

Corporate promises are signals whose credibility depends not only on content but also on the temporal discipline attached to the commitment. Firms frequently announce product launches, operational upgrades, workforce initiatives, customer-service reforms, emissions milestones, safety improvements, supply-chain audits, and digital transformation targets. Some promises contain precise completion dates, budgeted milestones, or verifiable performance thresholds, whereas others use broad language that preserves managerial flexibility. This paper studies whether deadline specificity changes investor reactions when corporate promises are later fulfilled, delayed, revised, or missed. Using an event-level panel of 5,846 voluntary corporate promises issued by 712 publicly traded firms between 2014 and 2023, the analysis combines event-study estimation, hazard modeling, stacked difference-in-differences, analyst-revision models, and transformer-assisted text classification. The evidence indicates that precise promises are rewarded when fulfilled but penalized more sharply when missed. Missed high-specificity promises generate a mean three-day cumulative abnormal return of -2.34%, compared with -0.81% for missed low-specificity promises. Analyst forecast revisions decline by 1.9% of beginning-of-year price after missed precise promises, and bid--ask spreads widen by 6.7% during the following ten trading days. Survival models show that deadline specificity predicts faster fulfillment but also increases reputational damage when delay occurs. Machine-learning tests indicate that budget specificity, deadline proximity, and operational verifiability are the strongest textual predictors of market penalties. The findings suggest that investors treat precise corporate promises as disciplined commitments rather than ordinary promotional language.