This paper aims to investigate empirically the common alternative methods of measuring annual report narratives. Five alternative methods are employed, a weighted and…
This paper aims to investigate empirically the common alternative methods of measuring annual report narratives. Five alternative methods are employed, a weighted and un-weighted disclosure index and three textual coding systems, measuring the amount of space devoted to relevant disclosures.
The authors investigate the forward-looking voluntary disclosures of 30 UK non-financial companies. They employ descriptive analysis, correlation matrix, mean comparison t-test, rankings and multiple regression analysis of disclosure measures against determinants of corporate voluntary reporting.
The results reveal that while the alternative methods of forward-looking voluntary disclosure are highly correlated, important significant differences do nevertheless emerge. In particular, it appears important to measure volume rather than simply the existence or non-existence of each type of disclosure. Overall, we detect that the optimal method is content analysis by text-unit rather than by sentence.
This paper contributes to the extant literature in forward-looking disclosure by reporting important differences among alternative content analyses. However, the decision regarding whether this should be a computerised or a manual content analysis appears not to be driven by differences in the resulting measures. Rather, the choice is the outcome of a trade-off between the time involved in setting up coding rules for computerised analysis versus the time saved undertaking the analysis itself.
This paper aims to witness the importance of corporate governance mechanisms and investigates the relationship between the quality of disclosure of forward-looking…
This paper aims to witness the importance of corporate governance mechanisms and investigates the relationship between the quality of disclosure of forward-looking information in the narrative sections of annual reports and the governance mechanisms for non-financial UK companies.
Computerized content analysis using QSR NVivo 8 is used to measure the extent of forward-looking information in the narratives of the annual reports for 238 companies listed in the London Stock Exchange. Cross-sectional regression analysis is used to examine the impact of the corporate governance mechanisms on forward-looking information.
The results show that board size and the independence of the audit committee are associated with the level of voluntary disclosure of forward-looking information.
One limitation of this study is that in controls for the effect of the financial crisis period, by selecting a representative year for a five-year period, 2006. The authors argument in using this year is based on the fact that the main variables of interest do not vary significantly with time, the cross-sectional analysis of the selected period will provide a fair view of the last five year-period.
The authors report the importance of some governance practices in the UK, such as the role of the board members as well as the importance of audit committee independence.
This paper contributes to the literature by using computerized content analysis to examine the relation between corporate governance mechanism and disclosure quality of forward-looking information using sample of companies before financial crisis period. The authors also examine governance mechanisms that are under-researched in the field of forward-looking disclosure.