We analyze a model in which traders have different trading opportunities and learn information from prices. The difference in trading opportunities implies that different traders may have different trading motives when trading in the same market—some trade for speculation and others for hedging—and thus they may respond to the same information in opposite directions. This implies that adding more informed traders may reduce price informativeness and therefore provides a source for learning complementarities leading to multiple equilibria and price jumps. Our model is relevant to various realistic settings and helps to understand a variety of modern financial markets.

We build a general equilibrium model to examine the implications of prospect theory for the disposition effect, asset prices, and trading volume. Diminishing sensitivity predicts a disposition effect, price momentum, a reduced return volatility, and a positive return-volume correlation. Loss aversion generally predicts the opposite. In calibrated economies, there is a nontrivial range of preference parameters for prospect theory to simultaneously explain the disposition effect, the momentum effect, and the equity premium puzzle. Our model is helpful for understanding a wide range of financial phenomena and it also suggests new testable predictions.

We examine whether the average earnings surprises announced yesterday affect investors’ responses to earnings news announced today. We find that in the short window surrounding an earnings announcement, the market rewards today's earnings news that is above yesterday's average earnings surprises with a premium, consistent with yesterday's average becoming a reference point for investors to classify today's earnings news as a gain or a loss. The price premium for an above-average earnings surprise is larger when more earnings announcements are made on the same day and when investors face greater uncertainty in assessing firms’ performance. We interpret this evidence as suggesting that investors rely more on the average as a reference point when they are more likely to be subject to cognitive constraints in processing information. We also find that firms announcing above-average earnings surprises exhibit a greater abnormal trading volume, consistent with the notion that beating reference points prompts investors to trade.

We empirically examine whether adopting a uniform set of accounting standards mitigates information frictions in financial markets and facilitates market integration. Using a difference‐in‐difference design, we find that after the mandatory adoption of IFRS local stock returns incorporate more global information and at a faster speed. The effect of IFRS adoption is stronger in countries where there are larger improvements in accounting comparability and for firms with a larger increase in foreign ownership. Overall, our results suggest that accounting standards harmonization facilitates financial market integration.

Theoretically, the implied cost of capital (ICC) is a good proxy for time-varying expected returns. We find that aggregate ICC strongly predicts future excess market returns at horizons ranging from one month to four years. This predictive power persists even in the presence of popular valuation ratios and business cycle variables, both in-sample and out-of-sample, and is robust to alternative implementations. We also find that ICCs of size and book-to-market portfolios predict corresponding portfolio returns.

We introduce the implied value premium ( IVP ), the difference between the implied costs of capital of value and growth stocks, to predict time variation in the ex post value premium. During 1977–2023, IVP is the strongest predictor of the ex post value premium. It also predicts the investment premium, consistent with the Investment CAPM. However, IVP ’s ability to predict the difference in cumulative abnormal returns around quarterly earnings announcements of value and growth stocks suggests that mispricing may also play a role. Overall, our results suggest that recent value underperformance reflects cyclical variation rather than a permanent shift.

This article provides a comprehensive examination of the time-series behavior of relationship banks around and during borrower distress. Relationship and outside loans have similar interest rates during distress and even 2 years prior to distress. Relative to outside loans in distress, relationship loans in distress have lower maturity. The fraction of bank lending given by relationship banks reduces during borrower distress. Overall, borrowers in distress do not derive benefits from relationship banks. These findings are inconsistent with models that suggest banks have an implicit commitment to help their borrowers in distress due to reputation concerns.

We analyze a model in which traders have different trading opportunities and learn information from prices. The difference in trading opportunities implies that different traders may have different trading motives when trading in the same market—some trade for speculation and others for hedging—and thus they may respond to the same information in opposite directions. This implies that adding more informed traders may reduce price informativeness and therefore provides a source for learning complementarities leading to multiple equilibria and price jumps. Our model is relevant to various realistic settings and helps to understand a variety of modern financial markets.

We investigate whether voluntary corporate restrictions on insider trading effectively prevent insiders from exploiting their private information. Our results show that insiders of firms with seeming restrictions on insider trading continue to take advantage of positive private information while being more cautious when exploiting negative private information. The results suggest that insiders continue to exploit their informational advantages in a way that minimizes their legal risk. We also find that the degree of information asymmetry is significantly lower in firms with restriction policies and that corporate governance significantly affects firms' decisions to adopt these policies.