We empirically examine how venture capitalists adjust coinvestor relationships over time. We identify a fundamental trade-off where the benefits of familiarity are weighed against the opportunity costs of coinvesting with other syndication partners. Using US data, we find that venture capitalists dynamically adjust their relationship intensities by gradually disengaging from overly deep relationships. More centrally networked investors are more cautious with disengaging. In hot investment markets investors disengage more readily from existing relationships, but new relationships forged in hot market are less enduring. Perhaps surprisingly, we find a negative relationship between deeper prior relationships and investment performance.

This paper studies how peer performance affects firms’ earnings management decisions. Using peer firms’ idiosyncratic returns as an exogenous peer performance measure and the instrumental variable approach, we find that higher peer performance leads to higher discretionary accruals. This effect is salient for both industry leaders and followers and is robust to alternative discretionary accrual measures and alternative peer definitions. We examine two mechanisms through which peer performance affects firms’ earnings management. We find that analysts revise their earnings forecasts according to peer performance and that when peer performance is higher, firms are less likely to meet or beat analyst consensus without managing earnings. This evidence suggests a capital market pressure mechanism. In addition, the effect of peer performance is more pronounced in firms using relative performance evaluation, suggesting a compensation pressure mechanism. In sum, our evidence suggests that managers report opportunistically to match peer performance.

This article examines enterprises funded by government-sponsored venture capitalists (GVCs). We find that enterprises funded by both GVCs and private venture capitalists (PVCs) obtain more investment than enterprises funded purely by PVCs, and much more than those funded purely by GVCs. Also, markets with more GVC funding have more VC funding per enterprise and more VC-funded enterprises, suggesting that GVC finance largely augments rather than displaces PVC finance. There is also a positive association between mixed GVC/PVC funding and successful exits, as measured by initial public offerings (IPOs) and acquisitions, attributable largely to the additional investment.

This paper examines how culture affects information asymmetry in financial markets. We extract firms traded in the United States but headquartered in regions sharing Chinese culture (“Chinese firms”), and we manually identify a group of U.S. analysts of Chinese ethnic origin (“Chinese analysts”). We find that Chinese analysts issue more accurate forecasts on Chinese firms than non-Chinese analysts. The effect is stronger among firms with less transparent information environments. Further evidence suggests that cultural proximity can go beyond language commonality and analysts’ pre-existing channels for information. Market reaction is stronger when Chinese analysts issue favorable forecast revisions or upgrades about Chinese firms.

Unlike traditional asset categories (e.g., industry classifications) that are generally defined clearly, some groups of stocks are tied to certain loosely defined “concepts” (e.g., e-commerce). When investors find it difficult to analyze ambiguous concept-oriented information, information diffuses slowly, creating “concept momentum”. Based on unique concept data in the Chinese stock market, this study constructs a concept-momentum strategy that involves buying stocks from past winning concepts and selling stocks from past losing concepts, which can generate pronounced abnormal returns. Neither risk factors, firm-level momentum, nor industry-level momentum can explain concept momentum. Furthermore, we find that both the underreaction and cross-stock lead-lag effect channels can cause slow information diffusion and drive concept momentum. Moreover, the concept momentum effect is stronger for relatively ambiguous concepts, for concepts that attract less investor attention, and following high-sentiment periods.