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Text-reading machines can predict share prices: ow.ly/cJNV50xKfSs

Forthcoming soon: Feng CityU Hong Kong Stefano Giglio Yale School of Management and Dacheng Xiu Chicago Booth develop tests of the marginal importance of an asset pricing factor relative to existing "factor zoo." They find: many recently discovered factors are redundant. doi.org/10.1111/jofi.1…

Forthcoming: Empirical Asset Pricing via Machine Learning by Shihao Gu Chicago Booth, Bryan Kelly Yale School of Management, and Dacheng Xiu Dacheng Xiu Chicago Booth academic.oup.com/rfs/advance-ar…

A single word in a news report—a well-placed “undervalue,” for example—can drive a company’s stock price up or down: ow.ly/cPBo50yE8ic

Archive: Governor Andrew Cuomo NYSDOH Statistical evidence as follows. #SocialDistancing nydailynews.com/opinion/ny-ope…

RFS presents a special issue on New Methods in the Cross-Section, edited by G Andrew Karolyi Cornell Johnson and Stijn Van Nieuwerburgh Stijn Van Nieuwerburgh Columbia Business School, featuring an editor’s choice by Eugene Fama Chicago Booth and Kenneth French Tuck School academic.oup.com/rfs/issue/33/5

#SpecialIssue: Big Data in Finance Edited by Itay Goldstein, Chester S Spatt, Mao Ye #EditorsChoice: Selecting Directors Using Machine Learning by Isil Erel Fisher College of Business, Léa Stern UW Foster School of Business, Chenhao Tan The University of Chicago, Michael S Weisbach Fisher College of Business academic.oup.com/rfs/issue/34/7

Incoming Associate Editors continued: Merih Sevilir Indiana University Kelley School of Business Andrea Vedolin Questrom School of Business, Boston University Dacheng Xiu Dacheng Xiu

How risky are your stocks, commodities, treasuries, FX, or bitcoins? We develop a robust inference procedure on volatility using transaction-level prices that are potentially contaminated by market microstructure friction econometricsociety.org/publications/e…

I just taught MBA students at Booth how to use ChatGPT to do their homework for my FinTech class. It’d be odd to discourage them from using it in a class about AI.

#AI has been adopted across #fintech and is changing the landscape of lending, trading, valuation, etc. Join @AICenter_Booth Dacheng Xiu Christina Qi Avinash Godkhindi and James Bray (Capital Group) for a virtual discussion on 2/24 ms.spr.ly/60105TmsE

In this Q&A, Chicago Booth’s Dacheng Xiu discusses the implications of machine learning for the financial markets. ms.spr.ly/6015ifo03

ICYMI: New working paper, "Can Machines Learn Weak Signals?," by Chicago Booth's Dacheng Xiu and Zhouyu Shen. ow.ly/iQ2450QLJkr

What does #AI see in the market that you might not? 📈 Here are 10 ways investors should be using large language models, according to research. (👇 🧵) ms.spr.ly/6010mKYpI

The economic consequences of statistical learning for arbitrage pricing in a high-dimensional setting, from Rui Da, Stefan Nagel, and Dacheng Xiu nber.org/papers/w33070

Some machine learning models unlock economic forecasting potential, according to Chicago Booth PhD student Zhouyu Shen and Booth’s Dacheng Xiu. #AI ms.spr.ly/6010WRKUC

Some machine learning models unlock economic forecasting potential, according to Chicago Booth PhD student Zhouyu Shen and Booth’s Dacheng Xiu. #AI ms.spr.ly/6011Wr85N

Some machine learning models unlock economic forecasting potential, according to Chicago Booth PhD student Zhouyu Shen and Booth’s Dacheng Xiu. #AI ms.spr.ly/6016WYF06

Some machine learning methods — like "old-school" Ridge — outperform sparsity-oriented approaches in leveraging weak signals for economic prediction, from Zhouyu Shen and Dacheng Xiu nber.org/papers/w33421

📢 SoFiE Summer School 2025: Financial Machine Learning 📍 Yale SOM | July 28 – Aug 1 Deep dive into ML/AI in finance: factor models, NLP, deep learning, AI-driven asset pricing. 🔗 Apply by May 16: yalesurvey.ca1.qualtrics.com/jfe/form/SV_6D… #Finance #MachineLearning #SoFiE #AI #Econometrics