Probability of business bankruptcy in theconstruction sector of Ecuador: Period 2011 – 2020
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https://orcid.org/0000-0001-6279-2734
Abstract
In business decisions, it is necessary to determine which are the variables that explain the probability of bankruptcy in order to make predictions about them in a second stage. The objective of this research work is to determine the probability of failure of companies in the construction sector in Ecuador. In order to achieve the goal, the logistic regression model and the Probit model were applied, which are binary discrete choice models. Among the important findings, it can be said that the variables that explain the probability of business bankruptcy in the sector are the size of the company, the level of indebtedness, liquidity, profitability and net income. In addition, the predictive capacity of the model was verified under different metrics such as sensitivity, specificity and later the ROC curve. In general, the Probit model gives a better predictive capacity of the model.
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