2024
DOI: 10.4018/joeuc.345244
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Predicting Corporate Financial Risk Using Artificial Bee Colony-Attention-Gated Recurrent Unit Model

Anzhong Huang,
Qiuxiang Bi,
Mengen Chang
et al.

Abstract: Corporate financial risk prediction is a critical task for ensuring the stability and success of businesses in today's dynamic economic landscape. However, existing models often fall short in accurately assessing and managing these risks. They often rely on historical financial data alone, which fails to account for sudden market fluctuations or unforeseen external events, leading to suboptimal risk assessments. Recognizing the paramount importance of time series analysis in financial risk prediction, we intro… Show more

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