We examine how information risk and transaction costs influence the initial and subsequent market reaction to earnings news. We find that the initial market reaction is higher per unit of earnings surprise for higher information risk firms (information content effect). Furthermore, it is information risk that induces transaction costs that limit the initial market reaction and lead to higher subsequent drift (transaction costs effect). Information risk does not have an effect on drift beyond that achieved through transaction costs. Our findings highlight the importance of understanding the linkage between information risk and transaction costs in price discovery around public disclosure.

The salience theory of choice under risk shows that investor behavior drives cross-sectional cryptocurrency returns. Investors place too much weight on salient payouts, causing overvaluation of cryptocurrencies with upward salience returns and undervaluation of those with downward salience returns, leading to negative expected returns for the former and positive expected returns for the latter. The salience effect in the cryptocurrency market is more pronounced than in equity markets, making it a significant risk factor for explaining other cross-sectional returns in the cryptocurrency market. Unlike other documented return predictors, the salience theory uniquely contributes to understanding the cryptocurrency market.

We study time-varying price leadership between international stock markets using a Markov switching causality model. We demonstrate variations in the causality pattern over time, with the US being the dominant country in causing other markets. We examine the factors which determine a country’s role in the causal relationship. For country-specific factors, we show that trades openness increases price leadership. We also find that the lead–lag relationship between the stock markets is weaker during crisis periods, confirming the “wake-up call” hypothesis, with markets and investors focusing substantially more on idiosyncratic, country-specific characteristics during the crisis.

Previous literature finds anomalies are at least as prevalent in developed markets as in emerging markets; namely, the global anomaly puzzle. We show that while market development and information diffusion are linearly related, information diffusion has a nonlinear impact on anomalies. This is consistent with theoretical developments concerning the process of information diffusion. In extremely low-efficiency regimes, without newswatchers sowing the seeds of price discovery and ensuring the long-run convergence of price to fundamentals, initial mispricing and subsequent correction will not occur. The concentration of emerging countries in low-efficiency regimes provides an explanation to the puzzle.