Layoff Impact on Stock Performance — A/B Test

Designed an A/B testing framework and ran an independent two-sample t-test on 55 layoff events across 19 public companies to evaluate whether layoff size significantly affects 90-day post-announcement stock returns. Found no statistically significant difference (p = 0.45) and built a Power BI executive dashboard to present findings to stakeholders.