Patterns of Language Use in Accounting Narratives and Their Impact on Investment-Related Judgments and Decisions

Recent research has examined the role of accounting narratives on investors' judgments and decisions. This study extends this line of inquiry by examining the effects of language categories on investors' judgments and decisions—the notion that narratives written with different predicates (verbs versus adjectives/nouns) will have a differential effect on investors. We use a language classification system, the Linguistic Category Model (LCM), to identify linguistic categories that vary on the dimension of abstractness/concreteness. First, the validity of the LCM in an accounting context is tested by analyzing quarterly earnings press releases. Results show that the language in press releases is more concrete (abstract) when the associated financial information is positive (negative). Second, an experiment to examine the effect of language categories on investors' judgments and decisions is conducted. The findings indicate that investors are least (most) likely to invest when a negatively (positively) valenced narrative is written concretely.