Measuring SMEs Risk – Evidence from Malaysia

Min Bai () and Samir Harith
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Samir Harith: University of Waikato

SN Business & Economics, 2023, vol. 3, issue 7, 1-32

Abstract: Abstract This research examines the risk of failure in small and medium enterprises (SMEs) in Malaysia, using a dataset of 303 individual companies from 2005 to 2014. The study aims to provide a robust framework for quantifying SME risk and understanding the relationship between operational characteristics and risk. The methods available to calculate SME risk are the pure-play beta, accounting beta and probability of survival methods. We then use Gaussian mixture model (GMM) regression framework to examine the relationship between SME risk and firm characteristics. Our results show (1) having a high amount of debt does not necessarily make a SME riskier than its counterparts; (2) profitability significantly affects SME risk; and (3) size, firm age and business ethnicity are not significantly associated with SME’s risk in Malaysia. Our results also show that PP beta works better for risk measurement comparing with other risk measures. The study is important for a range of stakeholders, including government in relation to sustainable economic growth goals and other areas of public policy, as well as investors, customers, suppliers, employees, and society, as it aims to provide a robust framework for quantifying SME risk and avoiding avoidable business churn. The research draws on information from financial statements, owner ethnicity, age and gender, business location, shareholding, and items stored in the database, providing a rich panel of data for businesses over time.

Keywords: Small and medium-sized enterprises (SMEs); Risk measurement; Gaussian mixture model (GMM); Firm characteristics (search for similar items in EconPapers)
JEL-codes: G32 M2 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s43546-023-00496-3

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