Firm Characteristics and Financial Distress among Manufacturing Firms Listed at Nairobi Securities Exchange Kenya

Samow Yunis Issak, Dr. Oluoch Josephat Oluoch
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引用次数: 1

Abstract

Businesses including companies listed on stock markets strive to predict financial distress to ensure they manage the factors that could potentially lead to such distress. It is however not clear how the various factors affect financial distress particularly firm size; firm activity levels; firm financial leverage; and profitability given that these are some of the biggest determinants of the financial condition of a business. The lack of clarity results from the fact that there are numerous models of financial distress with each providing varying factors some often contradicting each other. It is therefore critical to evaluate how these affects financial distress among manufacturing firms listed at Nairobi Security Exchange (NSE). This study aims to evaluate how firm size, turnover, leverage and profitability influence financial distress as measured by the B-Ratio. This census survey with a population of 13 companies covers the period 2013 to 2022. Three companies however did not meet the data criteria and were therefore excluded from the analysis. This left 100 firm-year observations. The study utilized four theories of financial distress that include neoclassical theory of investment; liquidity preference theory; pecking order theory; and Wreckers theory of financial distress. The study used panel regression analysis to test the hypotheses that firm size, turnover, leverage and profitability have no significant influence on financial distress. Hausman model specification test revealed that the fixed effects panel regression model was the most appropriate for analysis and it was subsequently used in arriving at the inferential findings. T-test and p-value at 95% confidence interval were used in hypotheses testing. All the four hypotheses set for the study were rejected and it was concluded that size, activity, leverage and financial performance are significant determinants of financial distress. The findings reveal that whereas firm size (as shown by firm capitalization ratio), firm activity level (as shown by total asset turnover) and firm profitability (as shown by return on equity) all had a negative effect on B-ratio, financial leverage had a direct positive effect on financial distress. The study was limited to the 10 qualifying companies at the NSE and has suggested that similar studies could be expanded to non-listed companies, listed nonmanufacturing companies as well as with the use of different models such as hazard models.
肯尼亚内罗毕证券交易所上市制造业企业的企业特征与财务困境
包括上市公司在内的企业努力预测财务困境,以确保它们管理可能导致此类困境的因素。然而,目前尚不清楚各种因素如何影响财务困境,尤其是公司规模;公司活动水平;企业财务杠杆;以及盈利能力考虑到这些是企业财务状况的最大决定因素。缺乏明确性的原因是,有许多金融危机模型,每个模型都提供了不同的因素,有些往往相互矛盾。因此,评估这些因素如何影响在内罗毕证券交易所(NSE)上市的制造企业的财务困境至关重要。本研究旨在评估公司规模、营业额、杠杆和盈利能力如何影响b比率所衡量的财务困境。这项人口普查调查涵盖了2013年至2022年期间的13家公司。然而,有三家公司不符合数据标准,因此被排除在分析之外。这就留下了100个稳定年份的观测结果。本研究运用了四种财务困境理论,包括新古典投资理论;流动性偏好理论;啄食顺序理论;以及金融危机的沉船理论。本研究采用面板回归分析检验了企业规模、营业额、杠杆率和盈利能力对财务困境没有显著影响的假设。Hausman模型规格检验表明,固定效应面板回归模型最适合分析,并随后用于得出推论结果。假设检验采用t检验和95%置信区间的p值。所有的四个假设设置的研究被拒绝,并得出结论,规模,活动,杠杆和财务绩效是财务困境的重要决定因素。研究结果显示,尽管企业规模(如企业资本化比率所示)、企业活动水平(如总资产周转率所示)和企业盈利能力(如净资产收益率所示)都对b比率有负面影响,但财务杠杆对财务困境有直接的积极影响。这项研究仅限于NSE的10家合格公司,并建议将类似的研究扩展到非上市公司、上市非制造业公司,以及使用不同的模型,如危险模型。
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