November 17, 2025 — Carlota Perez, in her book Technological Revolutions and Financial Capital, argues technological revolutions occur in (roughly) 50-year cycles. She identifies five such episodes, starting with the
November 2, 2025 – October was a good month for financial markets, with a broad-based rally across geographies and sectors. Tech stocks and gold led the way, and the dollar
October 26, 2025 — At QuantStreet, we’ve had an allocation to gold across our portfolios for the last year and a half. [1] Our investment thesis, laid out in our
October 5, 2025 – The market is in a funny place. September was a strong month for financial markets, its typical negative seasonality notwithstanding. However, news narratives over the last
September 18, 2025 — Target date funds represent the investment industry’s best thinking about how people should invest for retirement. The idea is that young people have the majority of
August 31, 2025 – An important market event in August was Jay Powell’s August 22nd speech at Jackson Hole. The market interpreted his remarks as indicative of a more dovish
August 3, 2025 – Some things change in markets and some don’t. The dollar partially reversed its year-to-date decline in July, and US equities had their first moment in the
7/17/2025 — Many portfolios consist of highly appreciated, concentrated positions. Investors are hesitant to rebalance these portfolios to avoid paying capital gains taxes. Such hesitancy if often unwarranted. Consider an
July 3, 2025 – After a tumultuous few months, June of 2025 saw a strong rally which took global markets to (or close to) new highs. The rally was broad-based,
An increase in “unusual” news with negative sentiment predicts an increase in stock market volatility. Unusual positive news forecasts lower volatility. Our analysis is based on over 360,000 articles on 50 large financial companies, published during the period of 1996–2014…
We develop a classification methodology for the context and content of news articles to predict risk and return in stock markets in 51 developed and emerging economies. A parsimonious summary of news, including topic-specific sentiment, frequency, and unusualness (entropy) of word flow…
We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment…
In the movie “True Lies,” Arnold Schwarzenegger plays the role of a skilled spy. In one scene, he is injected with truth serum in preparation for interrogation. Under the influence of the truth serum, he reveals how he plans to kill his captors and escape and then applies his skills and weapons…
We develop a model of information and portfolio choice in which ex ante identical investors choose to specialize because of fixed attention costs required in learning about securities. Without this friction, investors would invest in all securities and would be indifferent across a wide range of information choices…
We develop a model of investor information choices and asset prices where the availability of information about fundamentals is time-varying. A competitive research sector produces more information when more investors are willing to pay for that research…
Technical analysis, also known as charting,’ has been part of financial practice for many decades, but this discipline has not received the same level of academic scrutiny and acceptance as more traditional approaches such as fundamental analysis. One of the main obstacles is the highly subjective nature of technical analysis…
The well-documented underreaction of stock prices to news exhibits substantial time variation. We show that higher risk-bearing capacity of financial intermediaries, lower passive ownership of stocks, and greater informativeness of news increase price responses to contemporaneous news…
We study the performance of many traditional and novel, text-based variables for in-sample and out-of-sample forecasting of oil spot, futures, and energy company stock returns, and changes in oil volatility, production, and inventories. After controlling for small-sample biases, we find evidence of in-sample predictability…
The initial phase of the COVID-19 pandemic was characterized by voluminous, highly negative news coverage. Markets overreacted to uninformative news, and reacted more to news during high volatility periods. News coverage responded to lagged market activity, and causally impacted contemporaneous returns…
