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

Tomasz Sosnowski () and Anna Wawryszuk-Misztal ()
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Tomasz Sosnowski: University of Lodz
Anna Wawryszuk-Misztal: Maria Curie-Sklodowska University in Lublin

Ekonomia i Prawo, 2019, vol. 18, issue 3, 347-363

Abstract: 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.

Keywords: corporate governance; IPO forecast accuracy; management and supervisory board diversity; forecast error (search for similar items in EconPapers)
JEL-codes: G17 G23 G34 (search for similar items in EconPapers)
Date: 2019
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