Forecasting liquidity and solvency indicators based on artificial intelligence

Zaynutdinov , Ismoil

Innovation science and technologiy · 2025-yil

Annotatsiya

This article examines the issues of forecasting enterprises’ liquidity and solvency indicators based on artificialintelligence. The main objective of the study is to compare the effectiveness of traditional methods and artificial intelligencemodels in assessing financial stability. The article analyzes the possibilities of predicting the future state of liquidityindicators using neural networks. Particular attention is paid to identifying complex and nonlinear relationships in theforecasting process. The research results demonstrate that artificial intelligence models provide high accuracy in the earlyidentification of financial risks. The conclusions obtained have practical significance for improving enterprises’ financialmanagement systems. The scientific novelty of the article lies in the comprehensive application of artificial intelligenceapproaches to forecasting liquidity and solvency.

Maqola ma’lumotlari
MualliflarZaynutdinov , Ismoil
JurnalInnovation science and technologiy
NashriyotТошкент давлат иқтисодиёт университети
Nashr sanasi2025-12-01
Jild1
Son12
TilIngliz
DOI10.5281/zenodo.18076967
Indeksga qo‘shilgan2026-08-26

Kalit so‘zlar

liquidity, solvency, financial stability, artificial intelligence, neural networks, forecasting

Iqtibos keltirish

APAZaynutdinov , Ismoil (2025). FORECASTING LIQUIDITY AND SOLVENCY INDICATORS BASED ON ARTIFICIAL INTELLIGENCE. Innovation science and technologiy, 1(12). https://doi.org/10.5281/zenodo.18076967
GOST (OAK)Zaynutdinov , Ismoil FORECASTING LIQUIDITY AND SOLVENCY INDICATORS BASED ON ARTIFICIAL INTELLIGENCE // Innovation science and technologiy. – 2025. – T. 1, № 12. – DOI: 10.5281/zenodo.18076967.
MLAZaynutdinov , Ismoil. “FORECASTING LIQUIDITY AND SOLVENCY INDICATORS BASED ON ARTIFICIAL INTELLIGENCE.” Innovation science and technologiy, 1(12), 2025. https://doi.org/10.5281/zenodo.18076967
ChicagoZaynutdinov , Ismoil. “FORECASTING LIQUIDITY AND SOLVENCY INDICATORS BASED ON ARTIFICIAL INTELLIGENCE.” Innovation science and technologiy, 1(12) (2025). https://doi.org/10.5281/zenodo.18076967
HarvardZaynutdinov , Ismoil (2025) ‘FORECASTING LIQUIDITY AND SOLVENCY INDICATORS BASED ON ARTIFICIAL INTELLIGENCE’, Innovation science and technologiy, 1(12). https://doi.org/10.5281/zenodo.18076967
BibTeX
@article{zaynutdinovismoil2025,
  title = {FORECASTING LIQUIDITY AND SOLVENCY INDICATORS BASED ON ARTIFICIAL INTELLIGENCE},
  author = {Zaynutdinov , Ismoil},
  journal = {Innovation science and technologiy},
  year = {2025},
  volume = {1},
  number = {12},
  doi = {10.5281/zenodo.18076967},
  url = {https://doi.org/10.5281/zenodo.18076967}
}

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