This invention provides an optimal position management system comprising service, management, and transaction ends, enabling real-time strategy generation, approval, execution, and monitoring to ensure efficient and secure transaction operations with alarm mechanisms for irregularities.
This paper employs an asymmetric breakpoint approach to analyze the dynamic risk propagation and resonance mechanisms in the cryptocurrency market during the COVID-19 pandemic, highlighting the amplified spillover effects driven by epidemic indicators and their implications for regulatory strategies.
The research aims to predict the likelihood of enterprises being classified as "Special Treatment" (ST) in the upcoming quarter using machine learning (ML) and deep learning (DL) techniques. The focus is on enhancing financial distress prediction by incorporating novel indicators beyond traditional metrics.
