The research on determinants of capital structure based on fractal dimensionality reduction

Zhao, Yuechun; Guang-shui, LI

doi:10.1109/icmse.2012.6414380

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Until this investigation phase, according to experts' opinions and with a moderate agreement coefficient, the top five variables affecting SME Capital Structure decisions are Profitability ( de Jong et al, 2008;Titman et al, 1988;ZHAO & LI, 2012), Solvency, Credit Rating (Graham & Harvey, 2002), Firm Risk ( de Jong et al, 2008;LELAND, 1994;ZHAO & LI, 2012), and Liquidity ( de Jong et al, 2008;ZHAO & LI, 2012), with more than 86% of experts ranking them in their first top half. From the filtered variable list, it was encountered that the first half had 80% quantitative variables and 70% were Managerially controllable, 20% were intrinsic to the Firm, and 10% were relative to the Market.…”

Section: Discussionmentioning

confidence: 99%

E-Delphi Prioritization of Capital Structure Determinants in Small and Medium Size Business in Puerto Rico

Medina,

Piñero

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

Puerto Rican SMEs (Small-to-Medium Enterprises) represented 80.8% of the total enterprises in 2020, contributing to 38.6% of formal jobs. One main management goal is defining how the business will leverage its regular operation, also known as determining its Capital Structure (CS). It has been identified that one of the significant SME causes of failure is its financial leverage decisions and having to find a feasible CS composition that fits in with its current chart of capabilities and business structure. Thus, this investigation generalizes the CS variables based on a qualitative e-Delphi approach, concluding which variables are essential to SMEs CS in Puerto Rico. The expected investigation outcome is to obtain a list of focus variables that enable academically oriented SME investigators and financial decision-makers to optimize their resources and efforts.

show abstract