基于Fama-French三因素模型的我国A股市场的实证分析

实证检验了Fama-French三因素模型描述我国A股市场期望超额收益率的解释能力。分别针对上证A股和深证A股做了四类模型的回归分析,为了能够从各类模型的对比中准确地捕捉到各因素影响投资组合期望超额收益率动态特征。结果显示,随着公司规模和账面市值比的变化,市场风险因素的系数变化不大,而规模风险因素的系数和账面市值比风险因素的系数呈现巨大差异,模型的拟合效果表明Fama-French三因素模型在我国A股市场表现出相当高的解释能力。     

Unravelling the JPMorgan spoofing case using particle physics visualization methods

On 29 September 2020, JPMorgan was ordered to pay a settlement of $920.2 million for spoofing the metals and Treasury futures markets from 2008 to 2016. We examine these cases using a visualization method developed in particle physics (CERN) and the messages that the exchange receives about market activity rather than time-based snapshots. This approach allows to examine multiple indicators related to market manipulation and complement existing research methods, thereby enhancing the identification and understanding of, as well as the motivation for, market manipulation. In the JPMorgan cases, we offer an alternative motivation for spoofing than moving the price.