ISDS claims are associated with reductions in the likelihood, frequency, and dollar volume of M&As from claimant home countries to respondent states. The host-state expropriation events underlying ISDS claims show no significant effects. The impact of ISDS claims remains after including traditional country risk metrics. Thus, ISDS claims play a unique role in guiding international investment. They prompt foreign acquirers to adopt risk-avoiding strategies, which affect various deal characteristics. We detect strong substantiation effects of investor-win cases and some acquittal effects of state-win cases. The ISDS claims related to direct expropriations and strong-institution respondent states typically produce more striking effects.

We examine how political corruption affects corporate investment. We find firms in more corrupt states invest less than firms in less corrupt states. Our results are robust to using alternative investment measures, alternative corruption measures, and different regression specifications. Further, we find that the negative effect of corruption became insignificant after the enactment of Dodd–Frank Whistleblower Provision. The impact of the Dodd–Frank Whistleblower Provision is stronger in states with higher corruption. Our findings suggest that political corruption hinders investment, but the changes in legal environments can help firms reduce the decline in investments in highly corrupt states.

In the presence of dominant shareholders, it remains uncertain whether the introduction of cumulative voting (CV) in board elections can elevate board representation of non-controlling substantial shareholders and curb the expropriation of minority shareholders by dominant shareholders. With hand-collected director-level data, we conduct DID-style analysis of China's CV reform. We find that non-controlling substantial shareholders cooperated in voting to raise their board representation, and CV implementation curbed tunneling activities and enhanced firm value. The results are especially strong in a subsample of firms whose second largest shareholder has a sufficiently large ownership proportion to elect her/his favored candidates onto boards.

We examine whether prior findings on the market pricing of accruals quality (AQ) can be attributed to other forms of accounting‐based anomalies. Using hedge portfolio analysis and cross‐sectional regressions, we find that the return predictive power of AQ overlaps with several other accounting signals. We also find that, similar to other accounting‐based anomalies, especially the accruals anomaly, the AQ pricing effect (i) is likely due to mispricing instead of risk pricing, (ii) is attenuated in recent years, and (iii) disappears among firms with cash flow forecasts or long‐term growth forecasts. Our findings highlight the importance of controlling for existing return predictive signals when evaluating the market pricing of AQ.

This article shows that mutual funds’ trading experiences bias their future repurchasing decisions. Mutual funds are less likely to repurchase a stock if they previously sold the stock for a loss rather than for a gain. After switching to managing a different fund, fund managers still avoid repurchasing stocks they sold for a loss at a past fund. We do not find that mutual fund managers are biased against repurchasing past loser stocks because of superior information. Though less likely to be repurchased, repurchased losers do not underperform repurchased winners—and the fund itself—in the subsequent quarter.

Women often lack the opportunity to join exclusive social clubs, limiting the benefits they derive from their social networks. We investigate whether, when given the opportunity to interact with the right people in a professional setting, women gain greater advantages from these connections for career performance and advancement compared to men. Using a unique data set that documents when, where, and with whom financial analysts interact at investor conferences, we find that female analysts show greater improvement in earnings forecast accuracy than their male counterparts after interacting with a firm's executives. Further evidence suggests that female analysts overcome homophily in conference interactions with executives and that they sustain their gains, enhancing forecast accuracy for up to three years. In addition, both the capital and labor markets recognize women's superior gains from conference connections. Our findings suggest that women capitalize on professional connections, highlighting the importance of promoting structured networking opportunities for women in professional environments.

This study addresses the two-way process in which a subordinate and a superior engage in influence activities (bottom-up) and favoritism (top-down) in subjective Performance Evaluation. The research context is the Chinese government's evaluation of Chinese state-owned enterprises (SOEs) by the State-Owned Assets Supervision and Administration Commission of China (SASAC). We analyze archival records of the government's evaluation scores, score adjustments, and evaluation ratings given to 63 SOEs between 2005 and 2007. These analyses are also interpreted based on insights gained from in-depth field interviews with SASAC officials and chief financial officers (CFOs) of SOEs. Results indicate that the political connection of SOE CFOs, the geographic proximity of SOE headquarters to the SASAC central office, and political rank of the firm affect the SASAC's evaluations. Data Availability: Data used in this study cannot be made public due to a confidentiality agreement.

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.

We exploit information in sovereign CDS spreads and the international trade network to provide causal evidence of the propagation of global economic shocks. We show that trade links are an important source of shock transmission using the natural experiments of the Japanese tsunami and the COVID-19 lockdown in China. We then confirm more general and gradual information flows along the trade network by showing extensive country-level credit/equity cross-sectional return predictability. News about country fundamentals flows primarily from importers to exporters, depends on both direct and indirect links in the trade network, and is magnified by the exporting country's financial vulnerability.

We use Word2vec to develop a financial sentiment dictionary from 3.1 million Chinese-language financial news articles. Our dictionary maps semantically similar words to a subset of human-expert generated financial sentiment words. In validation tests, our dictionary scores the sentiment of articles consistently with human reading of full articles. In return association tests, our dictionary outperforms and subsumes previous Chinese financial sentiment dictionaries, such as direct translations of Loughran and McDonald’s (2011, Journal of Finance, 66, 35–65) English-language financial dictionary. We also generate a list of politically related positive words that is unique to China; we find that this list has a weaker association with returns than does the list of other positive words. We demonstrate that state media uses more politically related positive and fewer negative words, and exhibits a sentiment bias. This bias renders the state media’s sentiment as less return-informative. Our findings demonstrate that dictionary-based sentiment analysis exhibits strong language and domain specificity.