This paper investigates the crucial role of capital controls in maintaining macroeconomic stability in China. We develop an open macroeconomic model integrating capital controls within a managed floating exchange rate system. Our model shows that capital controls enhance the effectiveness of foreign exchange interventions by restricting capital outflows and providing a broader array of policy options, though they may also create discrepancies between domestic and foreign asset holdings. Simulations using quarterly time-series data reveal that capital controls are essential for the success of both sterilized and non-sterilized interventions. These results indicate that the combined use of capital controls and foreign exchange interventions can reduce macroeconomic volatility in China. Moreover, our analysis of fixed versus floating exchange rate regimes suggests that an inappropriate regime choice can increase volatility in capital flows. Therefore, China should adopt a balanced financial approach within its managed floating system to stabilize the macroeconomy.

Recent Delaware Chancery Court decisions that boards are self-interested in setting director compensation have focused scrutiny on the pay-setting process used by corporations. We examine the effect of peer benchmarking on director compensation decisions. Director pay relates positively to peer director pay, and firms paying their directors highly are selected as peers. Moreover, firm performance and board advising performance are positively related to the talent component and are generally unrelated to the self-serving component of the peer pay effect. The evidence indicates that firms use peer benchmarking to justify high compensation mainly to attract talented directors to enhance board quality.

This study examines whether politicians exhibit hometown favoritism in assigning preferential corporate income tax rates. We find that firms with hometown connections to incumbent provincial leaders experience favorable tax treatment. This effect is more pronounced when those leaders have strong hometown preferences and weaker when they have a strong incentive to seek promotion, suggesting that social incentives are the primary drivers of the effects on corporate tax benefits of hometown favoritism by politicians. Moreover, this effect is intensified when members of senior management have personal connections with the provincial leader. The mechanism test reveals that the provincial governments tend to qualify connected firms for preferential tax policies under their jurisdictions. Overall, our results suggest that hometown favoritism by politicians promotes tax benefits for business entities. Data Availability: Data are available from the public sources cited in the text.

We study how derivatives (with nonlinear payoffs) affect the underlying asset’s liquidity. In a rational expectations equilibrium, informed investors expect low conditional volatility and sell derivatives to the others. These derivative trades affect different investors’ utility differently, possibly amplifying liquidity risk. As investors delta hedge their derivative positions, price impact in the underlying drops, suggesting improved liquidity, because informed trading is diluted. In contrast, effects on price reversal are ambiguous, depending on investors’ relative delta hedging sensitivity (i.e., the gamma of the derivatives). The model cautions of potential disconnections between illiquidity measures and liquidity risk premium due to derivatives trading.

The vacuum caused by the absence of a political leader has a major economic impact. We manually collect data on the absence of a political leader in 247 Chinese cities between 2009 and 2019 and find that firms reduce their investment by an average of 2.326 % for each month that a political office remains vacant. This result holds even after subjecting the data to a series of endogeneity tests, robustness tests, and alternative explanations. We also demonstrate that the absence of a political leader reduces corporate investment through increased uncertainty of economic policy, reduced governmental efficiency, and disrupted political connections. Finally, our results show that this kind of absence has a more pronounced impact on younger firms, firms located in provinces with slower marketization, firms located in provinces with weak media development, non-state-owned enterprises, and firms located in regions under significant promotional pressure.

There is mixed evidence of a positive relationship between the stock market risk and return. We reexamine this critical implication of asset pricing theory using fresh data from China's stock market, which is largely segmented from the rest of the global financial market. Using formal variable selection methods and a comprehensive set of predictor variables, we identify conditional market variance, scaled market prices, and inflation as crucial determinants of equity premiums. The estimated simple risk-return relationship exhibits downward omitted variable bias, which underlines the importance of considering multiple factors to explain the variation in equity premiums. We cannot wholly attribute the three-factor conditional equity premium model to data mining, as Guo, Sanni, and Yu (2022) select the same model for the U.S. stock market. These findings challenge existing asset pricing models and provide valuable guidance for future theoretical research.

We extend Jin and Myers’s (2006) model to derive the relation between stock price crash risk and operating leverage (i.e., the fraction of fixed costs in total costs). The model predicts that (1) firms’ operating leverage decreases as stock price crash risk increases and (2) the negative effect of crash risk on operating leverage is more pronounced when firms are closer to the crash threshold or when managers face higher costs of stock price crashes. We empirically test the model predictions using a large sample of manufacturing firms in the US and find consistent results. Further analysis shows that higher levels of crash risk lead to a less sticky cost behavior. In addition, crash risk–driven operating deleveraging effectively reduces stock return volatility and enhances operating performance in subsequent years. Collectively, our findings reveal that crash-prone firms adopt a more flexible cost structure to delay stock price crashes and mitigate adverse outcomes.

This study examines the relationship between government subsidies and income smoothing using a sample of US‐listed firms. We find that subsidized firms smooth their earnings more aggressively than their unsubsidized peers. This finding is consistent with the reasoning that subsidized firms bear higher political costs and have more incentives to smooth earnings to avoid public attention. In addition, smoothing by subsidized firms is more pronounced when the subsidies are granted through non‐tax‐related channels than through tax‐based channels, and the positive association between government subsidies and income smoothing is stronger for firms under higher public scrutiny and with less transparent information environments. Further analysis shows that smoothing by subsidized firms serves mainly to obfuscate earnings and that subsidized firms that smooth earnings tend to continue receiving subsidies in the future. Overall, our results help explain the role of government subsidies in shaping firms' accounting and disclosure choices.

Access to firms’ innovation outputs determines the extent of knowledge spillover that poses risk to innovation appropriability. We provide plausibly causal evidence that processing costs of financial disclosures, which inform users of the economic value of innovation, play a key role in firms’ management of knowledge spillover. We exploit an exogenous, randomly assigned, and staggered policy shock by the SEC that reduces processing costs of mandatory financial disclosures. In response, firms reduce patenting rates, with the effect concentrated among firms in more competitive industries and with lower costs of capital. Firms also reduce their patent disclosure quality. Our results suggest firms rely more on trade secrecy as their innovation property protection mechanism. Lower processing costs of financial disclosures affect neither innovation inputs nor voluntary disclosure practices. Our results show that firms strategically manage access to their innovation outputs through financial disclosures, patent disclosures, and trade secrecy to curb knowledge spillover.