We examine whether financial analysts understand the effect of unionization on firm earnings in the U.S. by examining a large panel dataset with firm-level unionization, adoptions of right-to-work (RTW) laws, and union certification elections. We find that forecast errors for unionized firms in...

Due to the complexity of tax and the time and resources needed to monitor and examine tax returns, tax noncompliance is challenging to detect. Big data and sophisticated analytics might help tax authorities extract actionable data insights. Using income tax record data, this paper employs an...

The identification of the business cycle turn points is a challenging task. In this context, the evolution of new data typologies as internet searches data strongly impacted the construction of approaches practical to forecast macroeconomic variables. This work emphasizes the significance of...

We contribute to the research on the information content of earnings as it applies to the forecasting of economic activity across reporting models. We examine whether publicly available financial statement information is incrementally useful in forecasting confidentially reported taxable income....

We investigate whether firms' tax planning affects the accuracy of analysts' forecasts. Tax planning can exacerbate the complexity of firms' operations through strategic choices to exploit tax laws. Because of its effect on firms' operations, tax planning can influence analysts' efforts to...

In the present world of BANI (Brittle, Anxious, Nonlinear, and Incomprehensible), the organisations are more performance driven to sustain, survive and succeed. What gets measured gets managed. Forwarding with AI powered interventions is a beginning, working with real-time scenarios is progress,...