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Моделирование вероятности дефолта в строительном секторе: факторы корпоративного построения
Корпоративные финансы. 2017. Т. 11. № 3. С. 79-99.
Rybalka A.
In this paper, we have estimated the probability for default in large construction companies in Russia using the classic
method for this purpose – logistic regression. Our task incorporates testing corporate governance factors and analyzing
the predictive power of the model with regularization (Lasso and Ridge). For the dependent variable, we tested four
definitions of default and then compared them. The model was conducted on the basis of information from the SPARK,
Rosstat and the Bank of Russia database for the period of 2007-2015 – the final sample, after eliminating the outlying observations,
consists of 4761 construction companies. The added value of the corporate governance factors is verified on
the basis of comparison of the ROC-curves (AUC) and the I and II errors. Seven hypotheses were formed, some of which
were statistically significant, using an assessment based on both international and domestic experience dealing with the
influence of corporate structure on the company's stability. In particular, everything else being equal, the default probability
of the company will be lower if the CEO is also a co-owner; whereas the default probability of the company will
be higher if the company is a subsidiary. Note also, that, in fact, companies with a small board of directors overcome financial
distress better (with a negative return on assets) in the Russian construction business. There was no confirmation
of the hypothesis that older companies are less likely to default. Confirmed hypotheses give a new perspective to look
at with a comprehensive risk assessment of large construction companies in the country. According to our estimates,
corporate governance factors really improved the predictive ability of the models, and regularization methods confirmed
the stability of these models. Using cross-validation, the robustness of the coefficients of the final specification was confirmed.
This result may be of interest to a greater extent for banks, commercial investors and partners-contractors.