The aggregate portfolio of Chinese actively managed stock mutual funds exhibits a large and significantly positive alpha. Results from bootstrap simulations indicate that most Chinese active stock mutual fund managers have skill. A substantial amount of their outperformance can be attributed to...

We causally test alternative theories of expectation formation and asset pricing. Using a randomized information experiment we show: i) individuals form pro-cyclical beliefs, both about capital gains and about earnings growth, inconsistent with rational expectations models; ii) individuals are...

We examine hedge fund risk management practices and their association with left-tail risk during the 2008 financial crisis. Consistent with risk management practices reducing left-tail risk, funds in our sample that use formal risk models performed significantly better in the extreme down months...

We study the allocative challenges that governmental and nonprofit organizations face when tasked with equitable and efficient rationing of a social good among agents whose needs (demands) realize sequentially and are possibly correlated. As one example, early in the COVID-19 pandemic, the...

This paper shows individuals' product market choices influence their investment decisions. Using microdata from the brokerage and automotive industries, we find a strong positive relation between customer relationship, ownership of a company, and size of the ownership stake. Investors also are...

We perform a comparative analysis of machine learning methods for the canonical problem of empirical asset pricing: measuring asset risk premia. We demonstrate large economic gains to investors using machine learning forecasts, in some cases doubling the performance of leading regression-based...

We propose a new measure of time-varying tail risk that is directly estimable from the cross section of returns. We exploit firm-level price crashes every month to identify common fluctuations in tail risk across stocks. Our tail measure is significantly correlated with tail risk measures...

We reconsider the idea of trend-based predictability using methods that flexibly learn price patterns that are most predictive of future returns, rather than testing hypothesized or pre-specified patterns (e.g., momentum and reversal). Our raw predictor data are images—stock-level price...

Variables with strong marginal explanatory power in cross-section asset pricing regressions typically show less power to produce increments to average portfolio returns, for two reasons. (i) Adding an explanatory variable can attenuate the slopes in a regression. (ii) Adding a variable with...

We show that, when forming expectations about aggregate inflation, consumers rely on the prices of goods in their personal grocery bundles. Our analysis uses novel representative micro data that uniquely match individual expectations, detailed information about consumption bundles, and...