Investing Research Articles

Does the U.S. stock market respond predictably to simultaneous earnings announcements of attention-grabbing companies? In their September 2020 paper entitled “Famous Firms, Earnings Clusters, and the Stock Market”, Yixin Chen, Randolph Cohen and Zixuan Wang examine U.S. stock market (E-mini S&P 500 futures) responses to earnings announcement clusters (EAC) comprised of high-attention firms. They focus… Keep Reading

Does anticipation of Federal Open Market Committee (FOMC) monetary policy announcements move the market? Is any such anticipation permanent? In the June 2012 revision of their paper entitled “The Pre-FOMC Announcement Drift”, David Lucca and Emanuel Moench investigate the effects of FOMC announcements on global equity markets. They focus on the U.S. stock market during the 24-hour… Keep Reading

Has the market evolved to extinguish exploitability of reactions to corporate stock buyback and secondary offering activities? In their December 2012 draft paper entitled “The Persistence of Long-Run Abnormal Stock Returns: Evidence from Stock Repurchases and Offerings”, Fangjian Fu and Sheng Huang compare recent (2003-2010) long-run abnormal returns following U.S. corporate stock buyback and Seasoned… Keep Reading

Is there a way to tell which corporate executives are manipulating earnings? In their November 2016 paper entitled “Expectations Management and Stock Returns”, Jinhwan Kim and Eric So examine the relationship between firm incentives to manage earnings and stock returns around earnings announcements. They define an expectations management incentives (EMI) indicator that combines three groups of incentives: Attention… Keep Reading

A subscriber, citing the weekly record of S&P 500 earnings growth estimates in the “FactSet Earnings Insight” historical series, wondered whether estimate trends/revisions are exploitable. To investigate, we collect S&P 500 quarterly year-over-year earnings growth estimates as recorded in this series. These data are bottom-up (firm by firm) aggregates, whether purely from analyst estimates (before any actual earnings releases),… Keep Reading

Can a generative artificial intelligence (AI) model, such as ChatGPT 4o, materially aid investors in understanding the implications of earnings conference call transcripts? In their December 2024 paper entitled “AI, Investment Decisions, and Inequality”, Alex Kim, David Kim, Maximilian Muhn, Valeri Nikolaev and Eric So conduct two surveys to explore how generative AI shapes investment… Keep Reading

Does firm news reliably interact with stock return anomalies? In their July 2015 paper entitled “Anomalies and News”, Joseph Engelberg, David McLean and Jeffrey Pontiff compare anomaly returns on days with and without firm-specific news releases. They consider 97 anomalies published in 80 academic papers. For some analyses, they segregate these anomalies into four categories: (1) firm event-related (such as stock… Keep Reading

Prior research indicates that stocks of firms with high direct and indirect carbon dioxide emissions tend to beat the market (offer a carbon premium). Does high-emissions stock outperformance derive from surprisingly high earnings? In their September 2023 paper entitled “Does the Carbon Premium Reflect Risk or Mispricing?”, Yigit Atilgan, Ozgur Demirtas, Alex Edmans and Doruk… Keep Reading

Should investors look for consistent predictability, or upside surprises, in quarterly earnings announcements? In his November 2009 paper entitled “Meeting Analyst Forecasts and Stock Returns”, Ioan Mirciov investigates relationships between announced earnings (relative to analyst forecasts) and long-run future stock performance. Using earnings forecasts, actual earnings, stock returns and firm characteristics data for a broad… Keep Reading

Reader Richard Beddard, editor of Interactive Investor, flagged a series of three studies by Keith Anderson and Chris Brooks on approaches to enhancing the value premium via empirical analysis of the price-earnings ratio (P/E) calculated with lagged earnings. One study seeks to optimize value indication based on the extent and weighting of historical earnings used… Keep Reading