Econ Papers Daily / 期刊论文

综合信息驱动的内幕交易信号

Synthesizing Information-Driven Insider Trade Signals

Jens Heckmann, Heiko Jacobs, Patrick Schwarz

来源
Journal of Financial and Quantitative Analysis · 期刊论文
本站首次发现
2026-10-26 12:33
日期信息
Crossref 元数据日期 2026-10-26 · 来源:Crossref
主题
金融国际贸易

摘要

We propose a novel approach to synthesize presumably information-driven insider trading signals for the cross section of stocks. We find that the resulting straightforward composite strategy can often forecast returns in a global sample. This predictability is strongest in equal-weighted portfolios, short holding periods, and insider-buying signals, and it improves further with global diversification. Cross-country analysis reveals that varying insider trading restrictions between countries have limited explanatory power for the performance of the composite strategy. Overall, the results are consistent with a short-term informational advantage of insiders, which might be due to the skillful interpretation of non-private news.

中文摘要

我们提出一种新方法,为股票横截面合成推测由信息驱动的内幕交易信号。我们发现,由此得到的直观复合策略在全球样本中往往能够预测收益。这种可预测性在等权重投资组合、短持有期和内幕买入信号中最为显著,并且随着全球分散化而进一步增强。跨国分析表明,各国之间不同的内幕交易限制对复合策略表现的解释力有限。总体而言,结果与内幕人士的短期信息优势相一致,这种优势可能源于对非私有新闻的娴熟解读。