Прогнозирование и рейтинговый финансовый контроль в автомобильном секторе: модель оценки на основе данных

Цифровизация экономики и результаты, достигнутые благодаря искусственному интеллекту, требуют от руководителей коммерческих организаций применения новых подходов и инструментов в рамках общей системы финансового управления. Это отражается на расходах на исследования. Организации, занимающиеся производством автомобилей, также не застрахованы от подобных проблем. Цель статьи —  предложить комплексный подход к контролю над текущими финансовыми потребностями автомобильных компаний, акции которых котируются на международных фондовых биржах, с использованием решений на основе искусственного интеллекта, который может стать новым способом повышения эффективности финансового управления за счет оптимизации структуры капитала. Представлена взаимосвязанная оценка запасов, дебиторской и кредиторской задолженности ведущих автомобильных компаний, акции которых котируются на мировых фондовых биржах и изучаются по капитализации. На основе полученных данных предложены практические решения по улучшению контроля над текущими финансовыми потребностями за счет структурных изменений в капитале. Научная новизна исследования заключается в разработке контрольных граничных интервалов с использованием прогнозной модели оборачиваемости (в днях) текущих финансовых потребностей. 

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