Investors' return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents' mental models - their subjective understanding - of the stock market, drawing on surveys with the US general...

Investors' return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents' mental models - their subjective understanding - of the stock market, drawing on surveys with the US general...

This paper evidences the explanatory power of managers' uncertainty for cross-sectional stock returns. I introduce a novel measure of the degree of managers' uncertain beliefs about future states: manager uncertainty (MU), defined as the count of the word “uncertainty” over the sum of the...

We distill sentiment from a huge assortment of NASDAQ news articles by means of machine learning methods and examine its predictive power in single-stock option markets and equity markets. We provide evidence that single-stock options react to contemporaneous sentiment. Next, examining return...

Cross-sectional forecasts of conservative and optimistic biases in analyst earnings estimates predict a stock's future returns, especially for firms that are hard to value. Trading strategies--whether based on the component of analyst bias that is correlated with major return anomalies or the...

Investors' return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents' mental models - their subjective understanding - of the stock market, drawing on surveys with the US general...

Investors’ return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents’ mental models – their subjective understanding – of the stock market, drawing on surveys with the US...

In this paper, we propose a new method to estimate non-fundamental demandshocks for green financial assets based on the arbitrage activity of exchange-tradedfunds (ETFs). By estimating the monthly abnormal flows into environment-friendlyETFs, we construct a Green Sentiment Index that captures...

I solve a portfolio optimization problem with stochastic death rates. An agent demands more of an asset that pays off high (low) in states of the world when he expects to live longer (shorter) than an asset with the opposite payoff. Consequently, in equilibrium, an asset with a positive...

We explore the effects of fundamental extrapolation on stock returns. Empirically, we propose a novel approach to extrapolate firms' fundamental information and find that a strategy based on fundamental extrapolation earns an average return of 0.80% per month. Theoretically, we show that...