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Types of politically connected firms and analysts' earnings forecast

Khairul Anuar Kamarudin (Faculty of Business, University of Wollongong in Dubai, Dubai, United Arab Emirates)
Wan Adibah Wan Ismail (Faculty of Accountancy, Universiti Teknologi Mara, Kedah, Malaysia)
Iman Harymawan (Faculty of Economics and Business, Universitas Airlangga, Surabaya, Indonesia)
Rohami Shafie (Institute for Strategic and Sustainable Accounting Development, Tunku Puteri Intan Safinaz School of Accountancy, Universiti Utara Malaysia, Kedah, Malaysia)

Journal of Applied Accounting Research

ISSN: 0967-5426

Article publication date: 26 July 2021

Issue publication date: 7 October 2021

601

Abstract

Purpose

This study examined the effect of different types of politically connected (PCON) Malaysian firms on analysts' forecast accuracy and dispersion.

Design/methodology/approach

The study identified different types of PCON firms according to Wong and Hooy's (2018) classification, which divided political connections into government-linked companies (GLCs), boards of directors, business owners and family members of government leaders. The sample covered the period 2007–2016, for which earnings forecast data were obtained from the Institutional Brokers' Estimate System (IBES) database and financial data were extracted from Thomson Reuters Fundamentals. We deleted any market consensus estimates made by less than three analysts and/or firms with less than three years of analyst forecast information to control for the impact of individual analysts' personal attributes.

Findings

The study found that PCON firms were associated with lower analyst forecast accuracy and higher forecast dispersion. The effect was more salient in GLCs than in other PCON firms, either through families, business ties or boards of directors. Further analyses showed that PCON firms—in particular GLCs—were associated with more aggressive reporting of earnings and poorer quality of accruals, hence providing inadequate information for analysts to produce accurate and less dispersed earnings forecasts. The results were robust even after addressing endogeneity issues.

Research limitations/implications

This study found new evidence of the impact of different types of PCON firms in exacerbating information asymmetry, which was not addressed in prior studies.

Practical implications

This study has a significant practical implication for investors that they should be mindful of high information asymmetry in politically connected firms, particularly government-linked companies.

Originality/value

This is the first study to provide evidence of the impact of different types of PCON firms on analysts' earnings forecasts.

Keywords

Acknowledgements

The authors thank the journal editor and anonymous reviewers for their useful insights and suggestions. The research is financially supported by the UITM-UNAIR Matching Grant No. 100-TNCPI/INT 16/6/2 (027/2020).

Citation

Kamarudin, K.A., Wan Ismail, W.A., Harymawan, I. and Shafie, R. (2021), "Types of politically connected firms and analysts' earnings forecast", Journal of Applied Accounting Research, Vol. 22 No. 5, pp. 883-913. https://doi.org/10.1108/JAAR-05-2020-0084

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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