Diversity on management and supervisory board and accuracy of management earnings forecasts in IPO prospectuses

• Published in: Ekonomia i prawo 2019-09, Vol.18 (3), p.347-363
• Main Authors: Sosnowski, Tomasz, Wawryszuk-Misztal, Anna
• Format: Article
• Language: English
• Subjects: Accuracy; Age; Boards of directors; Business Economy / Management; Corporate governance; Credibility; Dependency theory; Earnings; Economy; forecast error; Gender; Human capital; Initial public offerings; ipo forecast accuracy; Management; management and supervisory board diversity; Managers; Prospecti; Studies; Workplace diversity
• ISSN: 1898-2255; 2392-1625
• DOI: 10.12775/EiP.2019.024

Motivation: Although the issue of accuracy and bias of earnings forecasts revealed in the IPO prospectuses has attracted attention of many researchers, the literature on the relationship between board characteristics and the quality of such financial projections is still very limited, especially for a two-tier board structure consisting of the management and the supervisory board. The policy of diversity on the boardroom is promoted in many countries and composition of the management and supervisory boards is expected to be comprehensive and diverse, among others, in terms of gender, education, age and professional experience of the members.Aim: The main objective of this study is to analyse the relationship between the accuracy of the earnings forecast disclosed in the IPO prospectus and the diversity of company’s corporate governance institutions. More specifically, we ask a question whether the extent of diversity in the board system features may have an impact on the accuracy of such forward-looking financial information.Results: Using a sample of 104 IPOs from the Warsaw Stock Exchange, we find that certain characteristics of the management and supervisory board enhance the usefulness of forward-looking financial information from a IPO prospectus, as some of boards characteristics are important for the evaluation of the earnings forecasts credibility at the time of IPO. For example, in accordance with our expectations, the age diversity results in more accurate forecasts. This evidence may be seen as an argument for diversity policy among board members.