China’s GDP-at-Risk: Real-Time Monitoring, Risk Tracing, and Macroeconomic Policy Effects

IF 2.8 2区 经济学 Q2 BUSINESS, FINANCE Journal of International Money and Finance Pub Date : 2024-08-04 DOI:10.1016/j.jimonfin.2024.103150
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Abstract

Timely monitoring GDP-at-risk and tracing economic downside risk sources can help establish effective risk warning and prevention systems. This study constructs a probability distribution for China’s economic growth with skewness determined by a multidimensional predictor information set of macro fundamentals. Such a treatment allows us to identify changing drivers of economic downside risks during monitoring GDP-at-risk’s dynamic evolutionary path. We also employ a time-varying parameter vector autoregression model with random volatility to explore the heterogeneous impacts of different macroeconomic policy instruments on economic slowdowns. Our results provide empirical support for macroeconomic management and policy formulation in emerging markets. We reach three conclusions. First, the dynamics of GDP-at-risk exhibit significant event-driven characteristics, and economic downside risk increases significantly under the influence of extreme events. Moreover, the probability distribution of economic growth is asymmetric--as the downside risk of the economy increases, its upside potential increases disproportionately. Second, the time-varying risk trace of GDP-at-risk shows that the contribution of financial conditions and local government debt to economic downside risk declines. The importance of the risk-driving role of housing price growth gradually increases, suggesting that China’s property prices can provide more valuable early warning information about future growth risk, allowing time for precise preventive measures. Nevertheless, interest rates and inflation as risk divers have consistently minimal impacts. Third, the heterogeneity impulse response function of GDP-at-risk suggests that quantity-based monetary policy and fiscal policy can manage economic downside risks in the short run. In contrast, price-based monetary policy can curb economic overheating and reduce downside risks in the medium to long term. Therefore, the effect of price-based monetary policy is more sustainable in China.

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中国的 GDP 风险:实时监测、风险追踪与宏观经济政策效应
及时监测 GDP 风险,追溯经济下行风险源,有助于建立有效的风险预警和防范体系。本研究构建了中国经济增长的概率分布,其偏度由宏观基本面的多维预测信息集决定。这种处理方法使我们能够在监测 GDP 风险的动态演化过程中识别经济下行风险的变化驱动因素。我们还采用了具有随机波动性的时变参数向量自回归模型,以探讨不同宏观经济政策工具对经济放缓的异质性影响。我们的研究结果为新兴市场的宏观经济管理和政策制定提供了经验支持。我们得出三个结论。首先,风险 GDP 的动态表现出明显的事件驱动特征,在极端事件的影响下,经济下行风险显著增加。此外,经济增长的概率分布是不对称的--随着经济下行风险的增加,其上行潜力也会不成比例地增加。其次,GDP-at-risk 的时变风险轨迹显示,金融状况和地方政府债务对经济下行风险的贡献下降。房价增长的风险驱动作用的重要性逐渐上升,表明中国的房地产价格可以为未来的经济增长风险提供更有价值的预警信息,为采取精确的预防措施留出时间。尽管如此,利率和通胀作为风险变量的影响始终微乎其微。第三,风险 GDP 的异质性脉冲响应函数表明,基于数量的货币政策和财政政策可以在短期内控制经济下行风险。相比之下,基于价格的货币政策可以抑制经济过热,降低中长期的下行风险。因此,价格型货币政策的效果在中国更具可持续性。
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来源期刊
CiteScore
4.20
自引率
4.00%
发文量
141
期刊介绍: Since its launch in 1982, Journal of International Money and Finance has built up a solid reputation as a high quality scholarly journal devoted to theoretical and empirical research in the fields of international monetary economics, international finance, and the rapidly developing overlap area between the two. Researchers in these areas, and financial market professionals too, pay attention to the articles that the journal publishes. Authors published in the journal are in the forefront of scholarly research on exchange rate behaviour, foreign exchange options, international capital markets, international monetary and fiscal policy, international transmission and related questions.
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