This study examines the relative impact of seven factors, including herding, sentiments, and institutional quality, on varying levels of weak form market efficiency across 50 stock markets. The analysis focuses on the profitability of technical analysis trading strategies to address issues with other (statistical) market efficiency measures related to information and transaction costs (Griffin et al., 2010). Proxies for herding, institutional quality, and equity market development consistently emerge as the most significant cross-country determinants of relative market efficiency. In contrast, proxies for fractionalization, chaos, and investor protection play comparatively weaker roles. We also find no clear link between market efficiency and sentiment proxies.

Using a large sample of U.S. public firms, we find robust evidence that short interest is positively related to one-year ahead stock price crash risk. The evidence is consistent with the view that short sellers are able to detect bad news hoarding by managers. Additional findings show that the positive relation between short interest and future crash risk is more salient for firms with weak governance mechanisms, excessive risk-taking behavior, and high information asymmetry between managers and shareholders. Empirical support is provided showing that the relation between short interest and crash risk is driven by bad news hoarding.

This study employs a broad set of machine learning (ML) methods to examine cross-sectional variation in corporate bond returns in China. Using macroeconomic indicators together with bond- and issuer-specific characteristics, we find that ML techniques outperform traditional linear models in both statistical and economic terms. These models are particularly effective at capturing distinctive features of the Chinese market, including the dominance of state-owned enterprises, implicit government guarantees, and rapid market evolution. We compare long-short and long-only portfolio strategies to account for practical constraints on short selling. The results indicate that ML methods are effective in markets where institutional features and information asymmetries play a central role in asset pricing.

Corporations often use affiliated firms as guarantors when issuing guaranteed bonds, thus combining external financing with internal credit enhancements. In this study, we empirically examine the potential determinants of corporate guaranteed debt issuance. We find evidence that issuers with fewer tangible assets, lower credit ratings, more pronounced debt overhang and/or greater managerial agency problems are more likely to issue guaranteed bonds. Moreover, we find that while firms generally issue guaranteed bonds with different motives, alternative incentives for guaranteed bond uses are largely captured by bond prices at issuance.

Based on the Competing Values Framework (CVF), we score 10-K text to measure company culture in four types (collaborative, controlling, competitive, and creative) and examine its role in firm stability. We find that firms with higher controlling culture fared significantly better during the 2008–09 crisis. Firms with stronger controlling culture experienced fewer layoffs, less negative asset growth, greater debt issuance, and increased access to credit-line facilities during the crisis. The positive effect of the controlling culture is stronger among the financially-constrained firms. Overall, the controlling culture improves firm stability through greater support from capital providers.