中小企业违约预测:葡萄牙建筑业

Magali Costa, Inês Lisboa
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引用次数: 0

摘要

目的研究建筑业中小企业的违约风险。设计/方法/方法分析了2008年至2020年2754家葡萄牙建筑业公司的不平衡样本。根据事前标准,公司被归类为违约或合规公司。然后,使用逐步分析,选择最相关的变量,这些变量稍后用于logit模型。为了验证结果的稳健性,增加了一个合法破产公司的样本(混合标准),并将初始样本分为两个子周期。Findings财务变量与预测此样本的模式最相关。主要结论表明,规模较小、年龄较大、负债较多、流动性较强、息税前利润较高的公司违约概率较高。这些结论是使用混合标准来确认的,该标准将公司归类为违约或合规,并包括宏观经济假人。实践意义这项工作不仅有助于扩大文献综述,而且对实践也做出了相应的贡献。建筑行业的公司可以理解必须控制哪些指标才能避免财务问题。政府也有相关信息,可以帮助调整或制定恢复或振兴公司的法规。独创性/价值这项研究提出了一个可用于所有类型公司的事前标准。大多数作品都使用了法律或混合标准,不允许提前发现财务问题的迹象。此外,所使用的样本几乎未经探索——中小企业来自死亡率很高的行业。
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Default prediction of small and medium enterprises: Portuguese construction sector
Purpose This paper aims to study the default risk of small and medium-sized enterprises in the construction sector. Design/methodology/approach An unbalanced sample of 2,754 Portuguese companies from the construction sector, from 2008 to 2020, is analysed. Companies are classified in default or compliant following an ex-ante criterion. Then, using the stepwise analysis, the most relevant variables are selected, which are later used in the logit model. To verify the robustness of the results, a sample of legally insolvent companies is added (mixed criterion) and the initial sample is split into two subperiods. Findings Financial variables are the most relevant to predict the pattern for this sample. The main conclusions show that smaller and older companies, more indebted, with more liquidity and with higher EBIT have a higher probability of default. These conclusions are confirmed using a mixed criterion to classify companies as default or compliant and including a macroeconomic dummy. Practical implications This work not only contributes to enlarging the literature review but also makes relevant contributions to practice. Companies from the construction sector can understand which indicators must control to avoid financial problems. The government also has relevant information that can help in adapting or creating regulations for recovering or revitalizing companies. Originality/value This study proposed an ex-ante criterion that can be used for all types of companies. Most works use a legal or a mixed criterion that does not allow for detecting signs of financial problems in advance. Moreover, the sample used is almost unexplored – SMEs from a sector with great mortality rate.
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来源期刊
CiteScore
3.70
自引率
0.00%
发文量
17
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