#2671. Debt structure instability using machine learning

December 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript3510 $

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Journal’s subject area:
Economics, Econometrics and Finance (all);
Finance;
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Abstract:
The article explores the problem of debt structure instability in machine learning. The results show that over 30% of firms change their debt structure significantly during the year, even when the leverage ratio is stable, short-term debt is negligible, and when operating costs are low.
Keywords:
Borrowing costs; Credit ratings; Debt structure; Financial constraints; Machine learning

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