论文部分内容阅读
本文在构建金融开放的外源性风险指标体系的基础上,提出了评估金融开放外源性风险的“3δ”原理和风险的神经网络预警模型。利用中国金融开放的风险指标数据进行的分析结果显示,中国当前金融开放的风险级别处于安全状态。对26个发展中国家金融开放外源性风险的评估和预警表明,该原理和预警模型对金融开放的外源性风险的评估与预警具有一定的实用性和可操作性。为此,本文提出管理部门应从当前的合规性监管转移到对金融开放的外源性风险的重点关注上,建立科学有效的金融开放评估与预警体系机制,调整和改革金融监管体系,以适应金融全球化的需要。
On the basis of building an exogenous risk index system for financial openness, this paper proposes a neural network warning model to evaluate the “3δ ” principle and risk of exogenous financial risks. The analysis using the data of China’s financial open risk indicators shows that China’s current level of financial openness is at a safe level. The assessment and early warning of the exogenous risks of financial openness in 26 developing countries show that this principle and early warning model have certain practicality and operability in the assessment and early warning of the exogenous risks of financial openness. Therefore, this paper proposes that management should shift from the current regulatory compliance to focus on the exogenous risk of financial openness, establish a scientific and effective financial opening assessment and early warning system, adjust and reform the financial regulatory system to adapt to The need for financial globalization.