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This research investigates the dynamic interplay between information diffusion on social media platforms and the co-movement of excess stock returns through a comprehensive methodology encompassing the multilayer complex network analysis, panel vector autoregression (PVAR) modeling, and the thermal optimal path (TOP) approach. Utilizing weekly data spanning from January 1, 2016, to December 31, 2021, our research finds a significant interrelationship between information diffusion and excess co-movement, notably shaped by exogenous shocks, such as the COVID-19 outbreak. We investigate the microcosmic mechanism, revealing that variations in excess co-movement significantly impact the information interaction behaviors of individual investors within sub-forums, subsequently influencing their trading activities across related stocks. Moreover, stocks characterized by a heightened strength of information diffusion exhibit swifter responsiveness to new information and demonstrate superior performance in hedging strategies involving the IC500 stock index futures. These findings hold potential to aid regulators and investors in comprehending risk transmission within the stock market and refining portfolio management. A heightened understanding of the role played by information interaction among individual investors via social media in the co-movement of excess stock returns empowers informed decision-making and risk mitigation.

When companies select and use compensation peers to determine chief executive officer (CEO) compensation, they create unintended peer effects on corporate innovation due to the similarities between these companies and their compensation peers in terms of product markets, CEO characteristics, and compensation schemes. After controlling for industry and geography peer groups, the findings confirm that the average innovation activity of compensation peers is a significant and distinct predictor of corporate innovation. Further analysis showed that (1) the peer effect is stronger in firms and compensation peers that pay their CEOs using long-term compensation, in firms with stronger labor market competition and board monitoring, and in peer companies that experience higher innovation competition and are closer to the median peer company in the peer group; (2) the obtained results are likely not attributable to the knowledge spillover mechanism and are more consistent with the peer pressure mechanism; and (3) the Securities and Exchange Commission's 2006 executive compensation disclosure rules may have generated peer effects.

We conceptualize that CEOs who endure traumatic experiences stemming from man-made disasters practice less corporate social responsibility. We exploit a natural experiment—the Great Chinese Famine—to empirically test this hypothesis. We find that (i) firms with CEOs who experienced the Great Chinese Famine score lower in corporate social responsibility ratings than a comparison group; (ii) this relationship is mainly driven by prosocial practices tied to employee relations, environmental protection, supplier relations, and community contributions; and (iii) this negative relationship is more pronounced in firms whose CEOs were younger when they experienced the famine, (iv) the positive relationship between CSR scores and firm value is more pronounced in firms with CEO without famine experiences. These results are robust in the face of several sources of endogeneity. Our study contributes to ongoing research regarding how top executives' early experiences affect their managerial decisions. It also enriches work surrounding corporate social responsibility and the plausibly exogenous determinants of prosocial preferences.

This paper applies a difference-in-differences framework to explore the economic consequences of the recent U.S.–China trade war. The average abnormal returns of Chinese listed firms during a period centered on President Trump's announcement on 22 March 2018 are taken as a proxy for the firms' exposure to the potential trade war. Firms more negatively exposed are found, surprisingly, to report higher total revenues in the post-announcement period. The results indicate that the Chinese firms tend to reallocate their business from overseas to the domestic market. Such within-firm reallocation is found to be more pronounced among private firms, exporting firms and non-FDI firms. Besides, firms with higher negative exposure increase total investment and financing but decrease foreign investment after the trade war.

Purpose: While the classic futures pricing tool works well for capital markets that are less affected by sentiment, it needs further modification in China's case as retail investors constitute a large portion of the Chinese stock market participants. Their expectations of the rate of return are prone to emotional swings. This paper, therefore, explores the role of investor sentiment in explaining futures basis changes via the channel of implied discount rates. Design/methodology/approach: Using Chinese equity market data from 2010 to 2019, the authors augment the cost-of-carry model for pricing stock index futures by incorporating the investor sentiment factor. This design allows us to estimate the basis in a better way that reflects the relationship between the underlying index price and its futures price. Findings: The authors find strong evidence that the measure of Chinese investor sentiment drives the abnormal fluctuations in the basis of China's stock index futures. Moreover, this driving force turns out to be much less prominent for large-cap stocks, liquid contracting frequencies, regulatory loosening periods and mature markets, further verifying the sentiment argument for basis mispricing. Originality/value: This study contributes to the literature by relying on investor sentiment measures to explain the persistent discount anomaly of index futures basis in China. This finding is of great importance for Chinese investors with the intention to implement arbitrage, hedging and speculation strategies.

This study investigates the relationship between firms’ export performance and prior investment experience in the corresponding country by using a novel dataset of Chinese firms. We find that a firm's export performance, in terms of value, quantity, unit price level and product varieties, is considerably better in destination countries where the firm has previously invested. The patterns are more pronounced when exporters are non-state-controlled or small-sized firms. Our analysis also shows that such country-specific outward foreign direct investment experience can facilitate firm exports by bridging country-pair physical and cultural distances and overcoming contractual barriers in destination countries. The data further imply that the positive effect partly stems from the purpose of local production.

Traditionally, the relationship between a firm's performance and its business strategy is studied using structured data taken from proxy statements and financial reports. However, there have been increasing efforts to explore the linkages between corporate outcomes and unstructured information, such as text or image/audio/video files. Until recently, semi-structured data had been largely overlooked. Given that a substantial amount of such data can be extracted using web crawler techniques and then processed using big data solutions, the current study employed this procedure to investigate whether dynamic job vacancy postings by Taiwanese publicly listed companies are associated with subsequent stock returns and operating ratios. We report that new job openings foreshadow a firm's operating performance, both indirectly, by boosting stock prices, and directly, by signaling positive developments. This finding remains robust to tests addressing endogeneity concerns and the adoption of alternative specifications. We thus shed light on the role of metadata in financial analysis.

This paper examines the valuation effect of capital account liberalization. Using an event study approach and the policy announcement for RMB Qualified Foreign Institutional Investors (short for RQFII) as the event date, we find that overall, the stock market responded positively to the capital account liberalization announcement. In addition, we provide some heterogeneity that firms with more stringent financing constraints earn higher returns than their counterparts. Finally, existing local institutions play an important role in determining announcement returns.