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Linguistic Information Quality in Customers' Forward‐Looking Disclosures and Suppliers' Investment Decisions

Contemporary Accounting Research 2019 36(3), 1751-1783
ABSTRACT This study examines whether and how linguistic information quality (measured by readability) of customer firms' management earnings forecast reports (MEFRs) affects supplier firms' investment quality (measured by investment efficiency). Our analyses reveal that supplier investment efficiency is positively associated with the average linguistic information quality of customers' prior MEFRs, and the positive association between supplier investment efficiency and customer MEFRs' numerical information quality is stronger in supplier firms with more readable customer MEFRs. Our analyses also reveal that higher linguistic information quality of customer MEFRs improves the monitoring of supplier firms by their outside stakeholders, such as institutional investors and financial analysts, and ameliorates the negative impact of suppliers' customer‐dependence on their investment efficiency. Our results suggest that greater linguistic information quality of a customer firm's forward‐looking disclosures is associated with higher‐quality investments made by its suppliers along the supply chain.

Stock return synchronicity and the market response to analyst recommendation revisions

Journal of Banking & Finance 2015 58, 376-389
In this paper we examine how stock return synchronicity relates to changes in market-based measures of information-based trading in response to analyst recommendation revisions. We find that the market response to analyst recommendations varies according to R2: stocks with lower R2 experience stronger price, trading volume, return volatility, and bid-ask spread reactions in response to revisions of analyst recommendations. The impact of R2 is strongest among smaller companies, suggesting an elevated role for analysts in disseminating information when prices may be less informed. In a multivariate context, these results are robust to the inclusion of additional explanatory variables including firm size. Our results support the premise that R2 is inversely related to the noisiness of the information environment.