Corporate reporting quality is hard to measure objectively despite the multitude of recommendations and guidelines on how to write the ideal annual report. Ongoing research uses machine learning to identify a framework for annual report quality. The aim is to identify systematic patterns in the way high quality annual reports are written and presented, and then combine these features in an algorithm that scores reporting quality automatically.
