Employing the staggered opening of the High-speed railway (HSR) as an exogenous shock, this paper examines the impact of functional distance on bank loan pricing. Based on a unique loan-level dataset from a nationwide state-owned Chinese commercial bank, we find that after the HSR opening, the loan pricing of local private firms decreases significantly. The possible channel is the facilitating of bank's easier access to soft information through the shortening of temporal functional distance. Moreover, the effect of HSR opening is more pronounced when the borrowing firm is difficult to visit or when loan pricing is more sensitive to information. We also find that the HSR opening increases the loan volume for local private firms, while there are no significant changes in loan pricing or loan volume for public firms with HSR opening. Our main conclusion remains valid after considering various robustness and endogeneity issues.

We study a novel mechanism through which real options play a prominent role in inducing the skewness of stock returns. Building on the investment-based asset pricing framework, we show that firms’ real options to contract (expand) their businesses when productivity is low (high) can increase return skewness. Consequently, return skewness represents a U-shaped function of firm productivity. Furthermore, the real-options effect is stronger for more flexible firms, characterized by lower scale-adjustment frictions. Employing a large sample of U.S. firms during 1972–2018, we provide a battery of robust empirical evidence consistent with the model predictions. Our findings demonstrate that firm-level real flexibility can impact investors and managers’ decision making.

We examine the impact on a firm when it is forced to switch its bank relationship from one branch to another branch of the same bank, and how the firm’s information opacity (as proxied by the frequency with which the firm provides financial statements to the bank) moderates the consequences of relationship loss. We find the effect depends on the relative balance between the hard accounting information provided to the bank and the soft information about the firm due to its prior branch relationship. We show the loss of soft information provided to loan officers at the new branch, as a result of the forced branch switch, has a significant effect on the cost, maturity, and availability of loans from the new branch. Furthermore, we document the moderating effect of accounting information opacity on loan conditions upon relationship loss.

Diverging from recent research that focuses on the effect of community religion on corporate outcomes, we study how top executives’ personal religiosity affects corporate transparency. Using educational experience in church-affiliated colleges as a proxy for CEOs’ religiosity, we show that firms with religious CEOs are associated with significantly less earnings management than firms with non-religious CEOs. Our results are robust to using matched samples and a difference-in-differences analysis based on voluntary CEO turnovers. The effect of CEO religiosity on earnings management is more pronounced when firms use more equity-based CEO compensation or when firms face higher operating cash flows volatility, and the effect is weaker in the post-SOX period. We also find evidence that firms with religious CEOs are less likely to engage in real earnings management. Taken together, our findings suggest an important role of CEOs’ religious beliefs in shaping corporate policies.

As the skewed return distribution is a prominent feature in nonlinear portfolio selection problems which involve derivative assets with nonlinear payoff structures, Value-at-Risk (VaR) is particularly suitable to serve as a risk measure in nonlinear portfolio selection. Unfortunately, the nonlinear portfolio selection formulation using VaR risk measure is in general a computationally intractable optimization problem. We investigate in this paper nonlinear portfolio selection models using approximate parametric Value-at-Risk. More specifically, we use first-order and second-order approximations of VaR for constructing portfolio selection models, and show that the portfolio selection models based on Delta-only, Delta–Gamma-normal and worst-case Delta–Gamma VaR approximations can be reformulated as second-order cone programs, which are polynomially solvable using interior-point methods. Our simulation and empirical results suggest that the model using Delta–Gamma-normal VaR approximation performs the best in terms of a balance between approximation accuracy and computational efficiency.

In this study we show that both the price impact of trades and serial correlation in trade direction are positively and significantly related to the probability of information-based trading (PIN). The positive relation remains significant even after controlling for the effects of stock attributes. Higher trading activity (i.e., shorter intervals between trades) induces both larger price impact and stronger positive serial correlation in trade direction. The effect of time interval between trades on quote revision is stronger for stocks with higher PIN values. These results provide direct empirical support for the information models of trade and quote revision.

This study investigates the underexplored role of onsite viewing activities in the housing search process. By incorporating buyer heterogeneity into the housing search model of Courant (1978), we show that buyers with higher private valuations tend to view more properties onsite and ultimately pay higher prices. Utilising a proprietary dataset from the largest real estate agency in Beijing, our analysis reveals that increased onsite viewings significantly enhance both the likelihood of a transaction and the final purchase price. We establish causality by employing an instrumental variable approach that leverages exogenous variations in heavy pollution and rainfall, which hinder buyers’ ability to conduct onsite house viewings. More intensive onsite viewings raise transaction price as they reveal a buyer’s higher private valuation to the seller. Besides, onsite viewings also function through reducing information asymmetry and improving match quality.

This paper examines whether corporate social responsibility (CSR) aligns with shareholder interests or stems from agency conflicts. To explore this, we utilize the staggered adoption of state-level Corporate Opportunity Waiver (COW) laws, which potentially weaken the fiduciary duty of loyalty among directors and officers, thereby exacerbating agency conflicts. Through a difference-in-differences analysis, we find that CSR activities significantly decrease following the enactment of COW laws. This decline is more pronounced in firms with weaker corporate governance, greater external opportunities for directors and officers, less incentivized CEOs, and those operating in less competitive industries. Additionally, our results show that the positive effect of CSR on financial performance is diminished by the adoption of COW laws. These findings support the value-enhancing perspective of CSR and highlight the importance of fiduciary duty of loyalty in promoting CSR.

Using the full sample of U.S. banks and hand-collected data on enforcement actions over 2000–2014, we analyze the role of these interventions in promoting several aspects of accounting quality. We find that enforcement actions issued for both risk-related and accounting-related reasons lead to significant improvements in accounting quality. This improvement is consistently found for earnings smoothing, big-bath accounting, timely recognition of future loan losses, the association of loan loss provisions with future loan charge offs, loss avoidance, and cash flow predictability and earnings persistence. Most of the effects are somewhat more potent in the crisis period and survive in several sensitivity tests. Our findings highlight the imperative role of regulatory interventions in promoting bank accounting quality.