Purpose - We introduce a new approach to the leverage-value relationship. Besides applying the classical regression models, we deal with leverage as a continuous treatment variable implemented on the firm’s value using the Dose-Response Function (DFR). Design/methodology/approach - After proper model calibration and splitting the treatment (leverage) into ten doses, a response function is generated, which enables the realization of the dose level at which the firm’s value is maximized. Furthermore, we test the pecking order theory and the trade-off theory using the Threshold Model to see whether firms are under or over-indebted. The analysis is carried out on panel data from Small-Medium Enterprises (SMEs), providing more valuable insights than large and mature companies. Findings - We used two leverage measures, Total Liabilities Ratio and Bank Debt Ratio. Value is measured by the market capitalization and Tobin’s Q. In general, we find a positive relationship between leverage and value; pecking order theory is not strongly supported, firms are below their optimal leverage, and there is a certain leverage dose that would maximize firms’ value. Practical implications - Since the threshold model and DRF show that SMEs are under indebted, firms could benefit from extra leverage doses without affecting the firm’s risk profile, especially in a low-interest rate regime, and the potential increase in public-private expenditure after Italy obtained the European Recovery Funds. Originality - We contribute to new knowledge and understanding to leverage and SMEs Finance from new methodological perspectives offering valuable insights from SMEs using novel approaches.

Harasheh, M., De Vincenzo, F. (2022). Leverage-value nexus in Italian small-medium enterprises: further evidence using dose-response function. EUROMED JOURNAL OF BUSINESS, 0, 1-19 [10.1108/EMJB-11-2021-0166].

Leverage-value nexus in Italian small-medium enterprises: further evidence using dose-response function

Harasheh, Murad
;
2022

Abstract

Purpose - We introduce a new approach to the leverage-value relationship. Besides applying the classical regression models, we deal with leverage as a continuous treatment variable implemented on the firm’s value using the Dose-Response Function (DFR). Design/methodology/approach - After proper model calibration and splitting the treatment (leverage) into ten doses, a response function is generated, which enables the realization of the dose level at which the firm’s value is maximized. Furthermore, we test the pecking order theory and the trade-off theory using the Threshold Model to see whether firms are under or over-indebted. The analysis is carried out on panel data from Small-Medium Enterprises (SMEs), providing more valuable insights than large and mature companies. Findings - We used two leverage measures, Total Liabilities Ratio and Bank Debt Ratio. Value is measured by the market capitalization and Tobin’s Q. In general, we find a positive relationship between leverage and value; pecking order theory is not strongly supported, firms are below their optimal leverage, and there is a certain leverage dose that would maximize firms’ value. Practical implications - Since the threshold model and DRF show that SMEs are under indebted, firms could benefit from extra leverage doses without affecting the firm’s risk profile, especially in a low-interest rate regime, and the potential increase in public-private expenditure after Italy obtained the European Recovery Funds. Originality - We contribute to new knowledge and understanding to leverage and SMEs Finance from new methodological perspectives offering valuable insights from SMEs using novel approaches.
2022
Harasheh, M., De Vincenzo, F. (2022). Leverage-value nexus in Italian small-medium enterprises: further evidence using dose-response function. EUROMED JOURNAL OF BUSINESS, 0, 1-19 [10.1108/EMJB-11-2021-0166].
Harasheh, Murad; De Vincenzo, Francesca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/880298
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