Structural Breaks in Interactive Effects Panels and the Stock Market Reaction to COVID-19
交互效应面板中的结构突变与股市对新冠疫情的反应AI 解读 ↓
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AI 根据所提供的论文材料归类：摘要在61国面板上研究股票收益与疫情关系的结构突变，并开发突变检验及日期推断工具。
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交互效应面板中的结构突变与股市对新冠疫情的反应
- 研究问题
- 在存在一般不可观测异质性的面板中，如何检验结构变化、估计突变日期及其区间，并考察股市与疫情关系是否改变？
- 方法与思路
- 作者提出适用于不同规模面板的突变检测工具，包括结构变化检验、日期估计和置信区间，并应用于2020年的61国面板。
- 材料陈述的贡献
- 摘要称检测到四月第一周的突变，疫情效应在此前为负、此后为零；作者将三月下旬宣布的量化宽松列为可能解释。
- 阅读关注点
- 应核对交互效应与异质性的处理、面板维度和依赖条件、突变区间构造，以及疫情系数解释和量化宽松机制的证据。
- 阅读边界
- 这是 arXiv 预印本，同行评审与期刊接收均未核实；摘要未提供识别条件、区间数值和显著性细节，量化宽松解释尚非因果证据。
原文摘要
Dealing with structural breaks is an important step in most, if not all, empirical economic research. This is particularly true in panel data comprised of many cross-sectional units, such as individuals, firms or countries, which are all affected by major events. The COVID-19 pandemic has affected most sectors of the global economy, and there is by now plenty of evidence to support this. The impact on stock markets is, however, still unclear. The fact that most markets seem to have partly recovered while the pandemic is still ongoing suggests that the relationship between stock returns and COVID-19 has been subject to structural change. It is therefore important to know if a structural break has occurred and, if it has, to infer the date of the break. In the present paper we take this last observation as a source of motivation to develop a new break detection toolbox that is applicable to different sized panels, easy to implement and robust to general forms of unobserved heterogeneity. The toolbox, which is the first of its kind, includes a test for structural change, a break date estimator, and a break date confidence interval. Application to a panel covering 61 countries from January 3 to September 25, 2020, leads to the detection of a structural break that is dated to the first week of April. The effect of COVID-19 is negative before the break and zero thereafter, implying that while markets did react, the reaction was short-lived. A possible explanation for this is the quantitative easing programs announced by central banks all over the world in the second half of March.