Maosheng Ye, Jim H. Shen, Eric Golson, Chien-Chiang Lee, Yuting Li
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引用次数: 29
Abstract
This study applies the event-analysis method and takes three Chinese listed textile and apparel companies that are representative of the upstream, midstream, and downstream of the textile value chain as research objects. By tracking the Baidu index trend of the keyword “trade war” to identify the ‘time window’ for each iconic event, we apply the autoregressive distributed lag approach to examine the impact of important landmark events on the performance of these companies during the period of Sino–US trade friction in 2018. We find that the impact diminished over time. Additionally, compared with upstream companies, midstream and downstream companies were hurt more. However, the risks were generally controllable.
期刊介绍：
International Finance is a highly selective ISI-accredited journal featuring literate and policy-relevant analysis in macroeconomics and finance. Specific areas of focus include: · Exchange rates · Monetary policy · Political economy · Financial markets · Corporate finance The journal''s readership extends well beyond academia into national treasuries and corporate treasuries, central banks and investment banks, and major international organizations. International Finance publishes lucid, policy-relevant writing in macroeconomics and finance backed by rigorous theory and empirical analysis. In addition to the core double-refereed articles, the journal publishes non-refereed themed book reviews by invited authors and commentary pieces by major policy figures. The editor delivers the vast majority of first-round decisions within three months.
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