Journal of Agriculture and Horticulture Research(JAHR)

Shenyang New Oriental International Course Centre, 110032 Shenyang, China

Publications

• Review Article   
  Review on the Innovation of Investment Banks' Credit Risk Assessment System in a Highly Volatile Market
  Author(s): Yakun Wei*
  
  In highly volatile markets, traditional credit risk assessment systems for investment banks face critical limitations, including reliance on outdated data, linear assumptions, and inadequate integration of non-financial factors. This study proposes a machine learning-driven framework to address these gaps, leveraging real-time multi-source data (e.g., macroeconomic indicators, market sentiment, transactional behavior) and nonlinear algorithms to enhance predictive accuracy. Case analysis, including JPMorgan Chase’s post-2008 reforms, validates the system’s effectiveness in mitigating risks during extreme market fluctuations. Results highlight significant improvements in real-time risk identification and adaptability to dynamic environments. Challenges such as model interpretability and data quality persist, necessitating future research on explainable AI and ESG integratio.. Read More»
  

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