管理评论 ›› 2020, Vol. 32 ›› Issue (7): 54-65.

• 中国系统管理学专辑 • 上一篇    下一篇

外汇储备风险系统管理方法研究

余湄, 张堃   

  1. 对外经济贸易大学金融学院, 北京 100029
  • 收稿日期:2019-04-24 出版日期:2020-07-28 发布日期:2020-08-08
  • 通讯作者: 张堃(通讯作者),对外经济贸易大学金融学院博士研究生
  • 作者简介:余湄,对外经济贸易大学金融学院金融工程系主任,教授,博士。
  • 基金资助:
    北京市社会科学基金重大项目(15ZDA46);教育部人文社会科学规划基金项目(14YJA790075)。

Study on System Management Method of Foreign Exchange Reserves Risk

Yu Mei, Zhang Kun   

  1. School of Finance, University of International Business and Economics, Beijing 100029
  • Received:2019-04-24 Online:2020-07-28 Published:2020-08-08

摘要: 外汇储备风险管理作为金融安全的重要内容,是一个典型的复杂系统管理问题。本文将外汇储备风险管理作为一个复杂系统,充分考虑处在系统中的各个宏观变量的变动和相互影响,在此基础上提出风险预警模型,构建风险预警指标,最终达到监测外汇储备风险的目标。首先,基于信号分析法筛选有效预警指标;其次,以发出有效信号的概率为权重计算未来24个月内发生外汇储备危机的概率;最后,根据概率值大小和变动趋势预测未来两年内外汇储备风险。本文用中国和阿根廷的数据对方法论进行实证检验,结果显示模型预测能力较好。当前我国外汇储备风险较低,但自2014年开始,风险呈现缓慢上升趋势,需要实时监测,重点防范。

关键词: 外汇储备, 风险预警指数, 复杂系统管理, 信号分析法

Abstract: As an important part of financial security, foreign exchange reserves risk management is a typical complex system management issue. This paper regards foreign exchange reserves risk management as a complex system, fully considering the change and mutual influence of various macro variables in the system. On the basis, this paper proposes a risk early warning model and constructs risk warning indicators to achieve the goal of monitoring foreign exchange reserves risk. Firstly, this paper selects effective indicators based on signal analysis method, then calculates the probability of foreign exchange reserves crisis that occurs within the next 24 months, and finally forecasts foreign exchange reserves risk in the next two years based on probability value and the change trend. This paper uses the data of China and Argentina to conduct an empirical test, and the results show that the model has a better predictive ability. At present, China's foreign exchange reserves risk is low, but since 2014, the risk has shown a slow upward trend and needs real-time monitoring to avoid crisis.

Key words: foreign exchange reserves, early warning index, complex system management, signal analysis method