Research links: data quality

Tuesdays are all about academic (and practitioner) literature at Abnormal Returns. You can check out last week’s edition including a look at the performance of so-called ‘wide moat’ stocks. Quote of the Day "Data quality is that which increases data value." (Abraham Thomas) Books - Phil Bak talks with Aaron Brown about his new book "Wrong Number: How to Extract Truth From a Blizzard of Quantitative Disinformation" (philbak.substack.com) - A review of "Stock Market Maestros: The Winning Habits, Strategies, and Mindsets of the World’s Best Investors" by Lee Freeman-Shor and Clare Flynn Levy. (rpc.cfainstitute.org) AI - How LLMs can condense historical data at scale. (nber.org) - Even with AI tools, humans are going to human. (papers.ssrn.com) Private credit - Research into the fragility of semi-liquid private credit funds. (papers.ssrn.com) - Is private credit a systematic risk? (econofact.org) Research - Is an elevated VIX really a buy signal? (washingtonpost.com) - Traders value data they pay for. (klementoninvesting.substack.com) - The markets have taken care of another anomaly, i.e. 'overnight drift.' (papers.ssrn.com) - Niels Kaastrup-Larsen talks trend following with Mark Rzepczynski. (toptradersunplugged.com) - Small things can affect your decision making in the moment.` (klementoninvesting.substack.com) - A round up of recent academic research including 'What Investors Disagree About: LLM-Decomposed Retail Disagreement and the Cross-Section of Stock Returns.' (alphainacademia.com) - Why CEOs need to watch their tone. (ft.com)