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Original research
Pages 39-46
10.61552/JAI.2026.01.004
Ashot V. Matevosyan,
Ani Z. Grigoryan,
Mane H. Matevosyan,
Armine V. Nersisyan,
Vahan G. Baghdasaryan
Abstract
In the last decade, automobile manufacturing companies face significant challenges in the process of controlling liquidity and solvency under constantly intensifying competition. While paying off financial obligations on time is always desirable and honorable, the ongoing crises negatively affect the overall financial situation of organizations. Therefore, with sufficient liquidity reserves, it becomes easier for companies to regulate their solvency levels.
This article presents an approach that includes artificial intelligence solutions for optimizing the capital structure of leading listed automotive companies. This research is a logical continuation of our research entitled “The proposed approach controlling capital structure in the AI context: Case study of the machine tool manufacturing company.” One of the main advantages of this article is the need for forecasting current assets in the capital structure.
The aim of this research is to forecast the capital structure in the context of AI solutions in top automotive companies and assess the impact of capital structural changes on liquidity and solvency. The novelty of this article lies in the proposed comprehensive approach, which includes forecasting the capital structure for effective control over liquidity and solvency.
This highlights the relevance and significant of the article conducted within the scope of the survey.
Keywords: Capital structure, AI solutions, AI model forecasts, Solvency, Liquidity.
Recieved: 20.01.2025. Revised: 12.04.2025. Accepted: 05.05.2025.
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