We provide the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are well-populated, but are unreliable outside the...

Using a news-based gauge of geopolitical risk, we study its role for asset pricing in global emerging markets. We find that changes in risk positively predict future stock returns. The countries with the highest increase in geopolitical uncertainty outperform their counterparts with the lowest...

We analyze the extent to which investors in opaque markets price information from more transparent markets. Exploiting the natural experiment created by bond-insurer insolvency, we show that municipal bond investors ignore insurers' equity prices and CDS premia, yet react to insurers'...

Revisions of consensus forecasts of macroeconomic variables positively predict announcement day forecast errors, whereas stock market returns on forecast revision days negatively predict announcement day returns. A dynamic noisy rational expectations model with periodic macroeconomic...

We use learning in an equilibrium model to explain the puzzling predictive power of the volatility risk premium (VRP) for option returns. In the model, a representative agent follows a rational Bayesian learning process in an economy under incomplete information with the objective of pricing...

The study examines the predictability of 48 sovereign bond markets based on a strategy of 27,000 technical trading rules. These rules represent four popular trading rule classes, they are: moving average, filtering, support and resistance, and channel breakout rules, with numerous variants in...

Abstract This paper shows that analyst coverage networks (ACN) play an important role in explaining stock return commonalities across Latin American stocks. First, pairs of stocks connected by analysts exhibit higher comovement and excess comovement. Second, firms easily traded by foreign...

We study volume-return dynamics using a framework in which information flows are endogenously determined and linked to a firm's investment activities. The framework generates time-varying differences of opinion (across investor types) and trading volume, especially when a firm receives...

This paper identifies an important source of variation in U.S. firms' material information flows: their SEC current report filing frequency. Exploiting cross-sectional variation in this novel proxy for information intensity, this paper finds that firms with higher information intensity...

This paper shows that firms talking less about the future in their annual reports generate positive abnormal returns of about 5% annually. I measure how much companies talk about the future in their annual 10-K reports by the frequency of the verbs will, shall, and going to. The evidence favors...