Impact of Managerial Overconfidence and Government Intervention on Firm Leverage DecisionL A MARS Model Approach

Irene Wei Kiong Ting (), Hooi Hooi Lean (), Qian Long Kweh () and Noor Azlinna Azizan ()
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Irene Wei Kiong Ting: Department of Finance and Economics, College of Business Management and Accounting, Universiti Tenaga Nasional, Sultan Haji Ahmad Shah Campus
Qian Long Kweh: Department of Accounting, College of Business Management and Accounting, Universiti Tenaga Nasional, Sultan Haji Ahmad Shah Campus
Noor Azlinna Azizan: Faculty of Technology, Universiti Malaysia Pahang

Institutions and Economies (formerly known as International Journal of Institutions and Economies), 2016, vol. 8, issue 3, 85-104

Abstract: This paper investigates the impact of managerial overconfidence and government intervention on a firm’s leverage decision. The Motivation, Ability, Roles and Situation Factors (MARS) model is employed to examine its impact on leverage decision. Dynamic panel models are applied to examine the relationship between managerial overconfidence, government intervention and leverage decision of publicly listed companies in Malaysia for the period 2004-2013. The findings are as follows. (1) When CEOs are motivated, their overconfidence is significantly and positively related to debt; (2) The CEOs’ ability is significantly and positively related to leverage decision; (3) The CEOs’ role is significantly and negatively related to leverage decision. (4) Government ownership moderates the relationship between managerial overconfidence and firm leverage decision. (5) Malaysian public listed firms adjust debt towards an optimal level and the speed of adjustment is approximately 21% to 26% per annum. The findings a so pave the way for further study of antecedent conditions in predicting the extent of firm leverage decision from the behavioural perspective.

Keywords: Dynamic Panel Model; leverage decision; MARS model; overconfidence (search for similar items in EconPapers)
JEL-codes: G32 G38 L21 L25 (search for similar items in EconPapers)
Date: 2016
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