Blockchain is a ground-breaking technology with potential applications in fundraising. In this study, we analyze the blockchain-based fundraising data from 2019 to 2021 to investigate the differences between various fundraising models (i.e., ICO, IEO, IDO, and MIX). More specifically, in Study 1, we conduct ANCOVA and ANOVA to examine differences in fundraising success and token performance after listing between different fundraising models. In Study 2, we first explore the factors that affect fundraising success and token performance, and then verify whether the impact of these factors varies between fundraising models. The findings of our research have implications for both firms and investors, assisting firms in selecting the most effective fundraising models and aiding investors in identifying tokens with the greatest potential.

We investigate the joint optimal risk management and capital structure decisions of banks when they use contingent-convertible (CoCo) futures contracts to hedge financial-sector risk. In spite of banks choosing significantly higher leverage ratios, their default probabilities drop appreciably while their equity values increase, allowing banks to compete more favorably with the shadow-banking system. Banks’ value-maximizing decision to hedge financial-sector risk unintentionally leads to an economy with extremely low aggregate bank default rates across all future states of nature. Thus, CoCo futures offer a powerful microprudential and macroprudential policy tool. That banks choose not to hedge financial-sector risk in practice is consistent with managers internalizing bank bailouts.

We propose a novel trend factor for the Chinese stock market that incorporates both price and volume information to capture dominant individual trading, momentum, and liquidity. We find that volume plays a more significant role in the trend factor for China than for the United States, reflecting the greater retail participation in China. By incorporating this trend factor into the 3-factor model of Liu et al. (2019), we propose a 4-factor model that explains a wide range of stylized facts and 60 representative anomalies. Our study highlights the important role of individual trading in asset pricing, especially in China. (JEL G12, G14, G15)

Privately issued money often bears default risk, which creates transaction frictions when used as a medium of exchange. The late 19th century US provides a unique context to evaluate the real effects of supplying a new type of money that is safe from default. We measure the local change in “monetary” transaction frictions with a market access approach derived from general equilibrium trade theory. Consistent with theories hypothesizing that lowering transaction frictions benefits the traded and inputs-intensive sectors, we find an increase in traded goods production, in the share of manufacturing output and employment, and in innovation.

This paper investigates the information content of insider pledging and the forced sale of pledged shares using U.S. data. Contrary to warnings from proxy advisors and the media about insider pledging and suggestions for its prohibition, our findings show that insider pledging announcements do not negatively impact shareholder wealth. Firms with insider pledging experience positive one-year abnormal stock returns and higher future profitability after the disclosure of pledging, indicating that insider pledging signals a firm's better growth prospects. These positive abnormal returns observed after the disclosure of insider pledging are more pronounced in firms with better corporate governance and are associated with pledging by certain insiders with superior information. In addition, we find that the stock price does not significantly decline following the forced sale of pledged shares, indicating that the forced sale does not pose downside risks for shareholders. Overall, our results suggest that insider pledging is not detrimental to shareholder value in the U.S., contrary to findings reported in the literature on emerging markets.

Few studies investigate whether ESG mitigates the harmful effects of changes in firms’ external environments. We evidence that ESG mitigated the impact of COVID-19 work-from-home and workplace prescriptions amongst several other pandemic-related government regulatory interventions, even when controlling for firm size. In a novel approach, we apply scrutiny of firms to restrict our cross-national sample to only firms with no cross-border trade, that is, explicitly domestically focused operational processes irrespective of the endpoint of corporate sales, enhancing methodological robustness. Consequently, we isolate an ESG effect. Results indicate the existence of a premium during the onset of each analysed national pandemic experience, particularly pronounced for those corporations that had achieved more substantiative ESG-based preparation and development before the onset of the COVID-19 pandemic.

We confirm prior evidence that bonds on average are offered at prices below their immediate post-offer secondary market prices. However, in cases where banks lead–manage their own bond offerings the underpricing is significantly less as compared with other non-self-marketed offerings. These findings are robust across various matched samples and selection models. Our results suggest that the bond offering process is characterized by substantive agency conflicts between shareholders of corporations (issuers) and underwriters.

We study the effects of Secure Communities, an immigration enforcement program that dramatically increased interior removals of Hispanic noncitizens from the United States, on participation in means-tested social insurance programs among co-ethnic citizens. Exploiting county-level variation in the roll-out of enforcement together with its ethnic specificity, we find that Hispanic-headed citizen households significantly reduced their participation in two large federal safety net programs. Our results are most consistent with network effects that propagate fear through minority communities rather than stigma or lack of benefit information.

We develop a continuous-time model in which an ESG investor hires a manager to run a project and incentivizes the manager to fulfill ESG responsibilities. The manager’s private efforts and ESG investing determine the project’s cash flow and ESG performance subject to random shocks. We derive the optimal contract and its implementation after introducing carbon credits following the cap-and-trade program in practice. We provide comparative static analysis and empirical implications. The results demonstrate that ESG investing enhances contract efficiency. The more significant the carbon emission reduction, or the less the cost of ESG investing, the higher the contract efficiency, the average q, the marginal q, and the optimal investment–capital ratios, implying that ESG investing mitigates inefficiencies arising from information asymmetry and enhances investment values. Our model predictions are partially verified by empirical facts.

Buy-and-hedge intermediaries are important investors in the convertible bond market as they intermediate between firms that require capital quickly and investors requiring time to assess the security. Their strategy requires them to manage the trade-offs involved with the costs and benefits of hedging. We find that prices of convertible securities reflect the costs that intermediaries incur when managing their positions. Especially cross-sectional and within-bond variation of intermediaries’ loan costs helps explain variation in convertible bond underpricing.