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Purpose The study aims to examine the military-connected firms' risk preference, specifically in the innovation intensity level context. The authors argue that firms with military-experienced top management have conservative and risk-averse behavior, influencing the innovation investment policy. Design/methodology/approach The authors use nonfinancial Indonesian-listed firms from 2010 to 2018 amounted to 2,504 firm-year observations. Findings The authors document a negative relationship between military connection with both innovation activities and outputs. The additional analysis documents that risk-preferences of military-connected firms will be drastically changed when the industry has a high digital level, which confirms that risk-averse military-experienced management is less dominant with adaptation skill. The authors also identify that veterans did not need a long tenure to influence firms' innovation investment policy. Lastly, the result is robust due to various endogeneity tests employed. Originality/value This study further examines military-connected firms' technological innovation compared to prior studies and enriches the related literature.

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.