Abstract We study the role of social networks in hedge fund activism. Actively managed funds whose managers are socially connected to activists are more likely than unconnected managers to invest in target stocks; their investment decisions are profitable. Importantly, such effects are greater for funds facing more severe information asymmetry. Connected funds are 14.2 percentage points more likely to support activists in proxy contests and contribute to reducing proxy contest costs. Our evidence shows that social ties benefit both connected investors and activists, and suggests that social networks reduce information asymmetry around activist campaigns by facilitating information exchange and increasing trust.

We argue that vertical integration creates operational links between divisions in a conglomerate, which aligns divisional interests, thereby reducing internal competition between divisions. As a result, vertical integration improves the capital allocation efficiency of the internal capital market (ICM). We measure ICM efficiency by innovation output and capital expenditure (CAPX) deviation, and present evidence that higher levels of vertical integration are associated with higher ICM efficiency. Our results are robust to a number of endogeneity tests and the use of alternative measures of vertical integration and ICM efficiency.

We investigate the influence of financial and political factors on peer-to-peer (P2P) platform failures in China's online lending market. Using a competing risk model for platform survival, we show that large platforms, platforms with listed firms as large shareholders, and platforms with better information disclosure were less likely to go bankrupt or run off (platform owners abscond with investor funds). More importantly, failing platforms were much less likely to run off in advance of major political events, but more likely to declare bankruptcy or run off after such events. These effects are more pronounced for politically connected platforms, platforms operating in provinces where local officials have close ties with central government, and in provinces with better local financial conditions. Our study highlights the role of political incentives on government regulatory intervention in platform failures.

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.

ABSTRACT 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.

Over the recent decade or so, the Chinese government implemented a commercial reform that features governmental application of digital technologies to acquire and process firm information. The core objective of commercial reform is to improve information transparency and monitoring on corporate commercial activities. To explore the economic effectiveness of the reform, we examine how it impacts firms' stock price crash risk. We find robust evidence that the commercial reform that digitalizes government regulatory activities mitigates stock price crash risk and achieves so via enhancing information environment and monitoring for firms. This finding is more prominent for firms with higher levels of digitalization and innovation and those with weaker internal governance. Overall, our findings highlight a potential benefit of applying digital technologies to regulatory reform, encouraging governments to adopt digital tools to improve information environments and monitoring for firms, and thereby promoting a more stable and efficient capital market.

We propose a continuous-time heterogeneous agent model consisting of fundamental, momentum, and contrarian traders to explain the significant time series momentum. We show that the performance of momentum strategy is determined by both time horizon and the market dominance of momentum traders. Specifically, when momentum traders are more active in the market, momentum strategies with short (long) time horizons stabilize (destabilize) the market, and meanwhile the market under-reacts (over-reacts) in short-run (long-run). This provides profit opportunity for time series momentum strategies with short horizons and reversal with long horizons. When momentum traders are less active in the market, they always lose. The results provide an insight into the profitability of time series momentum documented in recent empirical studies.

Abstract The rise of centralized mining pools for risk sharing does not necessarily undermine the decentralization required for blockchains: because of miners’ cross-pool diversification and pool managers’ endogenous fee setting, larger pools better internalize their externality on global hash rates, charge higher fees, attract disproportionately fewer miners, and grow more slowly. Instead, mining pools as a financial innovation escalate miners’ arms race and significantly increase the energy consumption of proof-of-work-based blockchains. Empirical evidence from Bitcoin mining supports our model’s predictions. The economic insights inform other consensus protocols and the industrial organization of mainstream sectors with similar characteristics but ambiguous prior findings.