Journal of
Accounting and Taxation

  • Abbreviation: J. Account. Taxation
  • Language: English
  • ISSN: 2141-6664
  • DOI: 10.5897/JAT
  • Start Year: 2009
  • Published Articles: 206

Full Length Research Paper

Firm specific determinants of financial distress: Empirical evidence from Nigeria

Fredrick Ikpesu
  • Fredrick Ikpesu
  • Department of Accounting, School of Management and Social Science, Pan-Atlantic University, Lagos, Nigeria.
  • Google Scholar

  •  Received: 16 January 2019
  •  Accepted: 06 February 2019
  •  Published: 31 March 2019


This paper in an attempt in answering the basic research question on what actually determines financial distress of firms in the manufacturing sector in the country employed the fully modified ordinary least square (FMOLS) on annual time series data of eighteen listed manufacturing firms on the Nigeria stock exchange (NSE) which was obtained from their audited financial statement. The endogenous variable used in the study is financial distress which is measured using the Altman Z score while the exogenous variables employed in the study are firm size, liquidity, profitability, and leverage. The study also employed a list of control variables such as revenue growth and share price. Findings from the study showed that leverage, liquidity, profitability, firm size, revenue growth, and share price are the firm-specific determinant of financial distress of firms in the manufacturing sector in the country. The findings of this study pose significant policy directions. First, managers and owners of the corporate organization need to pay critical attention to these variables when making financial decisions. Second, to ensure smooth operation and continued survival of firms, corporate managers need to design policies that will determine the appropriate level of liquidity, leverage, profitability and revenue growth. Also, management needs to set up control measures that will detect early warning signal of financial distress.


Key words: Leverage, financial distress, fully modified ordinary least square, Nigeria.