Death, Destruction, and Manipulation

M. Akter, Douglas J. Cumming, Shan Ji
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Abstract

We propose during periods of natural disasters, there is greater scope for the frequency and severity of market manipulation due to distraction and investor misestimations. For the population of U.S. stocks from 2007-2018, we merge intra-day manipulation data from SMARTS / NASD with National Oceanic and Atmospheric Administration's National Weather Service data. Disasters are measured by the dollar value of property damage and crop damage, and the number of injuries and deaths. Damages to property and crops are further scaled by county-level GDP. The data indicate that market manipulation is more common, and the trading value surrounding the manipulation is more pronounced, among firms that are headquartered in disaster zones. We further examine industry-specific effects, which shows more pronounced effects in intuitive ways; for example, crop and property damages enhance manipulation in agricultural sectors, while injuries enhance manipulation in the manufacturing sectors. These findings are robust to controls for firm idiosyncratic and systematic risk, as well as various methods that include but are not limited to using an alternative proxy of manipulation and difference in difference (DiD) analysis.
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死亡,毁灭和操纵
我们提出,在自然灾害期间,由于分散注意力和投资者的错误估计,市场操纵的频率和严重程度更大。对于2007-2018年的美国股票数量,我们将来自SMARTS / NASD的日内操纵数据与美国国家海洋和大气管理局的国家气象局数据合并。灾害是根据财产损失和农作物损失的美元价值以及伤亡人数来衡量的。财产和农作物的损失进一步按县级GDP来衡量。数据表明,在总部位于灾区的公司中,市场操纵更为常见,围绕操纵的交易价值也更为明显。我们进一步研究了行业特定的影响,它以直观的方式显示出更明显的影响;例如,作物和财产损失加强了农业部门的操纵,而伤害加强了制造业部门的操纵。这些发现对于公司特质和系统风险的控制以及包括但不限于使用操纵和差异中的差异(DiD)分析的替代代理的各种方法都是稳健的。
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