美国经济信息处理与吸收比率的关系:系统性风险与系统性风险

Edgar Parker
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引用次数: 0

摘要

2008年金融危机之后,引入了现在流行的衡量隐含系统性风险的指标——吸收比率。这一统计数据衡量的是经济市场之间的联系有多紧密。金融市场联系越紧密,就越容易受到系统性崩溃的影响。利用信息论的概念推导出了衡量金融市场健康状况的一种新的替代方法,即隐含信息处理比率或经济的熵效率。这种新的熵测度在预测经济衰退和衡量系统风险方面也很有用。在目前的工作中,我们探讨了这两个比率与风险类型之间的关系。介绍了联合使用这些不同措施以最佳地减少系统性和系统性风险的潜在方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship Between the US Economy’s Information Processing and Absorption Ratios: Systematic vs Systemic Risk
After the 2008 financial collapse, the now popular measure of implied systemic risk called the absorption ratio was introduced. This statistic measures how closely the economy’s markets are coupled. The more closely financial markets are coupled the more susceptible they are to systemic collapse. A new alternative measure of financial market health, the implied information processing ratio or entropic efficiency of the economy, was derived using concepts from information theory. This new entropic measure can also be useful in predicting economic downturns and measuring systematic risk. In the current work, the relationship between these two ratios and types of risks are explored. Potential methods of the joint use of these different measures to optimally reduce systemic and systematic risk are introduced.
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