US monetary policy spillovers, maturity mismatch and Chinese corporate financing premium

IF 5.2 1区 经济学 Q1 ECONOMICS
Dongzhou Mei , Jiaxin Wang , Mi Zhang
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引用次数: 0

Abstract

The term premium of Chinese corporate bonds has become an important factor driving up the long-term financing rate, which is also highly synchronized with the US policy rate. We establish a Proxy SVAR model to investigate US monetary policy spillovers on the term premium, and we find that tightening US monetary policy leads to capital outflow from China, increasing the term premium, high long-term financing costs, and ultimately decreasing investment and output. We further construct a multi-sector open-economy DSGE model with financial friction to explain empirical findings. Results show that after a rise in the US policy rate, capital flows out from China and the balance sheet of financial intermediaries deteriorates, thereby causing a decline in long-term asset allocation and an increase in the term premium. Counterfactual analysis indicates that US monetary policy spillovers are amplified by maturity mismatch regarding the expansion of short-term foreign debt, holding of longer-duration bonds, and tightening of borrowing constraints. Finally, we compare the effects of short-term rate policy, asset purchase, and macro-prudential stabilization tax policy.
美国货币政策溢出、期限错配与中国企业融资溢价
中国公司债期限溢价已成为推高长期融资利率的重要因素,长期融资利率与美国政策利率高度同步。通过建立代理SVAR模型考察美国货币政策对期限溢价的溢出效应,发现美国货币政策收紧导致中国资本外流,期限溢价上升,长期融资成本上升,最终导致投资和产出减少。我们进一步构建了包含金融摩擦的多部门开放经济DSGE模型来解释实证结果。结果表明,美国政策利率上调后,资本流出中国,金融中介机构资产负债表恶化,导致长期资产配置下降,期限溢价上升。反事实分析表明,美国货币政策溢出效应被短期外债扩张、持有较长期债券和收紧借贷限制的期限错配放大。最后,我们比较了短期利率政策、资产购买政策和宏观审慎稳定税收政策的效果。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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