To make high-quality research more accessible and easier to explore.

Fields:
2 results

Synthesizing Information-Driven Insider Trade Signals

Journal of Financial and Quantitative Analysis 2026 open access
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.

Rewriting CRSP’s History: Impact of Altered Monthly Returns on Asset Pricing

Journal of Financial and Quantitative Analysis 2026 open access
In January 2025, CRSP discontinued the existing stock tape used in many published papers. This transition rewrites 9.62% of monthly returns by more than 1 basis point (bp), primarily due to a change in the dividend reinvestment assumption. Analyzing the impact for a comprehensive set of premia in several thousand sorting specifications reveals that, on average, 11.43% of all monthly long-short returns differ by more than 10 bp—especially in early periods, NBER recessions, and return-based sorts. Reassuringly, average premia and their significance remain largely unaffected, suggesting CRSP changes mainly introduce unsystematic variation without altering key asset pricing conclusions.