Financial Shocks, Deleveraging and Macroeconomic Fluctuations in China

Ziguan Zhuang, Jinbu Zou, Ding Liu
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引用次数: 1

Abstract

Abstract To deleverage is one of the major tasks for the supply-side structural reform in China, and to steadily deleverage in order is the key to fending off and defusing financial risks. This paper uses the economic statistics of China around 2016 to depict the “expansion–contraction” fluctuations with Chinese macroeconomy during the deleveraging. In this realistic context, it constructs a financial business cycle model based on the financial accelerator theory and attempts to use default cost changes to introduce financial shocks and understand China’s macroeconomic fluctuations in the deleveraging context in the perspective of unanticipated and anticipated shocks. Results of the numerical model simulation show that before and after the deleveraging, the fluctuations of credit, leverage ratio, credit spread and other major macroeconomic variables originate not only from the changes with unanticipated default cost. Anticipated changes with default cost can similarly explain the “expansion–contraction” macroeconomic fluctuations in recent years and offer a new perspective into the fluctuations during deleveraging. Accordingly, government, when practicing deleveraging policies, is advised to take into full consideration not only the actual changes with default cost, but also anticipated factors of financial institutions.
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金融冲击、去杠杆化与中国宏观经济波动
去杠杆是中国供给侧结构性改革的主要任务之一,有序有序地去杠杆是防范和化解金融风险的关键。本文利用中国2016年前后的经济统计数据来描述中国宏观经济在去杠杆过程中的“扩张-收缩”波动。在这一现实背景下,基于金融加速器理论构建金融景气周期模型,试图利用违约成本变化引入金融冲击,并从非预期冲击和预期冲击的角度理解去杠杆背景下的中国宏观经济波动。数值模型仿真结果表明,在去杠杆前后,信贷、杠杆率、信贷利差等主要宏观经济变量的波动不仅源于未预期违约成本的变化。违约成本的预期变化同样可以解释近年来的“扩张-收缩”宏观经济波动,并为去杠杆化过程中的波动提供新的视角。因此,建议政府在实施去杠杆政策时,既要充分考虑违约成本的实际变化,也要充分考虑金融机构的预期因素。
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88
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