The 2023 banking turmoil highlighted how technological advancements have significantly accelerated the speed of bank runs. This paper investigates the impact of these faster bank runs on the effectiveness of policy interventions by interpreting them as a constraint on the relative speed of policy responses. Using a model of bank runs and ex-post policy responses, we examine how delays caused by this constraint affect financial fragility and welfare. We find that while delays exacerbate welfare loss by distorting allocations, they may also decrease fragility by making banks more cautious. We study the optimal level of structural delay, balancing the trade-off between distributional distortions and financial fragility. Furthermore, we extend this model to explore the roles of liquidity regulations and capital injections given such a delay. We show that regulation may be more desirable than a capital injection if the delay is substantial because the benefit of decreased fragility is particularly potent.

This paper examines the impact of geographic technological diversification on firm innovativeness. Our empirical study conducted on a panel of U.S. manufacturing companies shows that firms with geographic technological diversification are more innovative (as measured by both patents and citations) than firms without. Furthermore, we find that the positive relation between geographic technological diversification and firm innovation is driven by domestic technological diversification, while international technological diversification is negatively related to firm innovation. Our valuation tests further confirm the detrimental effect of international technological diversification on shareholder wealth.

Digitalization is a crucial strategy for firms to gain a competitive advantage. This study utilizes data from Chinese listed firms from 2011 to 2020 to examine how digitalization affects firms' stock price informativeness. Empirical results demonstrate that digitalization reduces stock price synchronicity and promotes firms' stock price informativeness. Moreover, digitalization improves stock price informativeness by enhancing investment efficiency and firm value, reducing information asymmetry, and alleviating agency costs. These findings suggest that effective digital strategies and capabilities constitute an important yet underappreciated resource that enables firms to generate value-relevant information and improve the information environment in emerging capital markets. Our study contributes new evidence on the financial market implications of digital transformation from a resource-based view perspective.

We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to a common FMI participant. We construct indicators of credit risk exposures in three main Canadian FMIs and use multivariate extreme value methods to estimate this probability. We find large differences in the levels of systemic risk across participants. Conditional on the participant being distressed, we re-estimate these probabilities and find that some participants create large exposures to FMIs, resulting in a larger level of systemic risk than the rest of the participants. Our results suggest that an appropriate oversight of FMIs may benefit from an in-depth system-wide analysis, which may have useful implications for the macroprudential regulation of the financial system.

The systemic risk and negative social impacts from bank-issued wealth management products (WMPs) are well studied by scholars and practitioners in China. Using hand-collected bank data, we find that WMPs help reduce banks’ cost of funds, which is then passed on to their borrowers as lower borrowing cost. This finding shows an upside of this controversial but increasingly popular bank product. We propose four mechanisms through which WMPs can lower banks’ cost of funds: structural change in deposits, cross-subsidization, liquidity effect, and related-party transactions. We find supporting evidence for those mechanisms, and their effects vary across state-owned, joint-stock, and city commercial banks. Those variations are consistent with the unique characteristics of each bank group. We further explore the competition for capital between state-owned and non-state-owned banks. The results suggest that state-owned banks offer significantly higher interest rates for deposits as non-state-owned banks expand in the same region. WMP issuance is likely a differentiation strategy in response to the competition for deposits.

We study the impact of the tournament-like competition in the mutual fund industry by examining the Active Share choices of funds. Funds with relatively poor performance by the end of the third quarter in a calendar year tend to increase their Active Share during the last quarter. The increase in the trailing funds’ Active Share is accompanied by an increase in the funds’ downside risk exposure. The evidence suggests that the strategic shifts in Active Share we document are not information/skill motivated.

The impact of U.S. bank loan announcements on the stock prices of the corporate borrowers has been decreasing during the two last decades with estimated two-day cumulative abnormal returns slipping from almost 200 basis points in the beginning of the 1980s to close to zero by the turn of the Century. We estimate excess returns before and after the onset of the most recent financial crisis. We find that while prior to August 2007 returns were indeed close to zero, afterwards returns jump back up to around 200 basis points. We surmise that in a booming credit market the certification of corporate borrowers by banks started to play a lesser role, while during the crisis the banks’ role was revitalized. Consistent with this interpretation we find that after August 2007 excess returns increase especially for loans with a longer maturity, and for smaller, levered, less profitable or lowly rated firms.

The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky et al. (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit unusual behavior in the periods preceding a financial stress event. Based on the individual indicators from 13 OECD countries, we propose three different composite indicators, the summed composite indicator, the extreme composite indicator and the weighted composite indicator. The in-sample forecasting results for the 13 OECD countries indicate that the three composite indicators are useful tools for predicting financial stress events, while none of them outperforms the others across all the criteria considered. The out-of-sample forecasting results suggest that for most of the 13 OECD countries, including Canada, the United Kingdom and the United States, the weighted composite indicator performs better than the two others across all the criteria considered.