Investing Research Articles

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

Which price-to-earnings ratio is best for screening stocks? In the November 2024 first version of his paper entitled “Forward Price-Earnings Ratio”, Luca Conrads compares the practical abilities of seven price-to-earnings ratios to predict S&P 500 returns (see the chart below for four of these seven): Conventional price-to-earnings (PE) – current price divided by prior-year actual… Keep Reading

Below is a weekly summary of our research findings for 1/6/25 through 1/10/25. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs. Subscribers: To receive these weekly digests via email, click here to sign up for our mailing list.

Data snooping bias entails the capture of noise in a dataset that is lucky with respect to a research goal, such as high Sharpe ratio for an investment/trading strategy. Snooping may involve discovery via multiple tests of a lucky subsample in a time series, a lucky parameter value in a model or a lucky alternative… Keep Reading

Can large language models (LLMs) create financial research? In their December 2024 paper entitled “AI-Powered (Finance) Scholarship”, Robert Novy-Marx and Mihail Velikov describe a process for automatically generating academic finance papers using LLMs and demonstrates its efficacy by producing hundreds of complete papers on stock return predictability. Specifically, they: Identify 31,460 potential stock return predictors… Keep Reading

Are there “trigger” words in risk sections of annual U.S. firm 10-K reports that materially influence buying and selling of associated stocks? In his December 2024 paper entitled “Risky Words and Returns”, Sina Seyfi tests a way to predict stock returns by analyzing the text of risk disclosures in respective firm 10-K reports. Specifically, he… Keep Reading

Should investors expect end-of-day rebounds in intraday loser stocks? In their November 2024 paper entitled “End-of-Day Reversal”, Amar Soebhag, Guido Baltussen and Zhi Da investigate intraday return reversal among individual stocks during the last 30 minutes of the trading day. They segment the 24-hour close-to-close trading day into: (1) overnight (close to open); (2) first… Keep Reading

Below is a weekly summary of our research findings for 12/30/24 through 1/3/25. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs. Subscribers: To receive these weekly digests via email, click here to sign up for our mailing list.

Experimental (researcher-imagined) asset markets provide a controlled environment for testing hypotheses about investor behaviors. Do limits on abilities of researchers to model markets realistically, and researcher incentives/motivations, jeopardize the credibility of associated studies? In their December 2024 paper entitled “Do Experimental Asset Market Results Replicate? High-powered Preregistered Replications of 17 Claims”, Christoph Huber, Felix Holzmeister,… Keep Reading

How can investors best apply the available array of Large Language Models (LLM) in quantitative strategy development? In his December 2024 paper entitled “The LLM Quant Revolution: From ChatGPT to Wall Street”, William Mann summarizes the use of LLMs in quantitative finance, focusing on: the current state of LLM technology in financial applications; comparison of… Keep Reading