TY - JOUR
T1 - Types of politically connected firms and analysts' earnings forecast
AU - Kamarudin, Khairul Anuar
AU - Wan Ismail, Wan Adibah
AU - Harymawan, Iman
AU - Shafie, Rohami
N1 - Publisher Copyright:
© 2021, Emerald Publishing Limited.
PY - 2021/10/7
Y1 - 2021/10/7
N2 - 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.
AB - 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.
KW - Corporate governance
KW - Forecast accuracy
KW - Forecast dispersion
KW - Government linked companies
KW - Political connection
UR - http://www.scopus.com/inward/record.url?scp=85111093430&partnerID=8YFLogxK
U2 - 10.1108/JAAR-05-2020-0084
DO - 10.1108/JAAR-05-2020-0084
M3 - Article
AN - SCOPUS:85111093430
SN - 0967-5426
VL - 22
SP - 883
EP - 913
JO - Journal of Applied Accounting Research
JF - Journal of Applied Accounting Research
IS - 5
ER -