Discretionary impacts of the risk management committee attributes on firm performance: do board size matter?

内生性 会计 公司治理 业务 风险管理 审计委员会 委托代理问题 经济 计量经济学 财务 审计
作者
Sitara Karim,Samuel A. Vigne,Brian M. Lucey,Muhammad Abubakr Naeem
出处
期刊:International Journal of Emerging Markets [Emerald (MCB UP)]
卷期号:19 (8): 2222-2240 被引量:15
标识
DOI:10.1108/ijoem-05-2022-0782
摘要

Purpose While there is an increased demand from various corporate stakeholders on the need for public companies to have risk management frameworks as well as a stand-alone risk management committee to mitigate risks and simultaneously improve performance, this study investigates the effects of the risk management committee attributes on firm performance, and the role of board size is highlighted on this relationship in Malaysian listed companies. Design/methodology/approach Both accounting- and market-based performance measures have been used for measuring performance. A dynamic model using the generalized method of moments (GMM) has been employed to control for potential endogeneity, simultaneity and unobserved heterogeneity. Findings The findings reveal that risk management committee attributes such as size, independence and meetings negatively affect book-based performance measures and positively affect market-based performance measures. Moreover, board size positively moderates the risk management committee attributes and performance relationship. The study embraces the predictions of agency theory and resource dependence theory. Practical implications The findings are practically significant for Bursa Malaysia, Securities Commission Malaysia to assess the compliance of the Corporate Governance Code (MCCG, 2017) and for academia to further explore significant relationships in other emerging economies. Originality/value The paper contributes to multiple aspects: first, it studies the impact of risk management committee attributes on firm performance; second, it investigates the moderating effect of board size on RMC–performance relationship; in the end, the study employs dynamic modeling for estimation process to avoid dynamic endogeneity considered a main econometric problem for CG–performance relationships.

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