Journal of Banking & Finance最新文献

Supervisory assessments such as stress-tests gauge banks’ riskiness and allow regulators to impose bank-specific capital regulation. This can improve welfare. Yet, regulation based on noisy supervision can decrease welfare by mis-classifying banks, distorting incentives, and crucially, leading to greater risk taking. Regulation should not be bank-specific in such cases. When bank defaults are costlier, supervision should strive for lower probability that riskier banks go undetected, i.e., reduce false-negatives even if this causes more false-positives. When the supervisor can incur a cost to optimally reduce both false-positive and false-negative rates, the regulator should make capital requirements more bank specific.

This study analyzes four distinct types of mutual fund sentiment timing skills using a multifactor framework. Our results indicate a diminished significance of market sentiment timing, in contrast to the results of prior studies. Additionally, we reveal that size and value sentiment timing can substantially enhance fund performance. Managers strategically reduce their exposure to small stocks using size sentiment timing and increase exposure to value stocks through value sentiment timing during high sentiment periods. We find no evidence that mutual fund managers engage in momentum sentiment timing.

Using a large-scale proprietary data set from China, we examine the cross-border transmission of policy uncertainty within multinational corporations (MNCs). Our results show that policy uncertainty in MNCs’ home countries negatively affects the capital investment of their foreign subsidiaries. Our analyses of cross-sectional heterogeneity reveal that the effect is strengthened by subsidiary-level investment irreversibility and the dependence of subsidiaries on parent firms, and weakened by bilateral meetings and psychic closeness between the home and host countries. Together these findings suggest that policy uncertainty travels across borders and has a spillover effect on foreign subsidiary investment.

Price limits are widely implemented in stock markets worldwide; however, they are rarely considered in financial models. In this study, we propose a model specifically designed for asset prices that adhere to daily price-limit mechanisms. Our model captures the interdependence among limit-hitting events and other small price jumps by using a multivariate mutually-exciting point process. It is applicable to any stock market with a multi-layer price limit mechanism. By analyzing data from all publicly listed A-share stocks in China from 2007 to 2021, we demonstrate that our model outperforms other classic models in terms of goodness of fit. Additionally, we find that limit-hitting jumps, as opposed to inconspicuous small price jumps, have a higher propensity to attract investors' attention and result in subsequent price jumps. We further construct a clustering index based on the model parameters and investigate its determinants.

At the outbreak of the Covid-19 pandemic, the European Central Bank issued a strong recommendation towards banks to halt dividend payouts. The goal of this de facto dividend ban was to boost banks' capital to ensure the supply of credit. However, given the importance of dividends for investors, this unprecedented measure is likely to have impacted bank valuations. Hence, banks may have chosen to preserve their higher capital buffers to boost payouts after the lifting of the ban, rendering the intended positive effect on credit supply a priori uncertain. We first investigate the effect of the dividend ban announcement on euro area banks' valuations and find a significantly negative impact. Second, we show that banks significantly expanded credit supply in the syndicated loan market, without counteracting effect of the negative stock market reaction. Our findings are corroborated when we exploit the multi-bank nature of syndicated loans in a within-loan setup.

This paper employs a dynamic factor model with endogenous regional clustering and extreme value adjustment properties to construct a world interest rate, as well as regional factors, based on country-specific short-run real interest rates from 43 markets. We find that global and regional factors play crucial roles in determining local rates among advanced countries, while local factors are more important among emerging markets. Further, convenience yields essentially affect both global and regional rates, especially in the longer run. Moreover, the relationship between global and local rates depends crucially on capital account openness, while the choice of exchange rate regime is a critical determinant of the transmission of regional factors. Lastly, we show that a U.S. nominal rate shock would raise the global real rate a quarter later, with a stronger impact observed before the U.S. rate hits the zero lower bound in 2008.

How does the salience and structure of costs for financial advice influence consumer demand? This study conducts a randomized choice experiment exploring possible consequences of introducing a commission ban in the retail mortgage market. A sample of more than 2100 participants of the Dutch Household Survey panel reveals that in a fee-based regime, in which the costs of advice are salient and must be paid upfront, demand for advice decreases by 25 % compared with a situation in which the same costs are embedded in mortgage payments. We do not find evidence that such demand effects for financial advice varies across less versus more sophisticated customers. At the same time, we do find that customers with a stronger focus on the present express less willingness to pay for advice upfront.

We predict that firms’ attempts to reduce litigation risk can inadvertently worsen financial report readability by increasing reports’ size, complexity, and altering their linguistic characteristics. We find that litigation risk reduces report readability. Readability worsens after firms experience a securities class action. This persists for several years after lawsuit resolution. To alleviate endogeneity concerns, we show that the litigation experience of a firm's managers and directors at other firms impacts readability. We also find that firms adjust readability around litigation flashpoints. Using an SEC rule change as an exogenous shock, we show that adjustments to readability can moderate firm litigation risk.

Using a corporate culture measure based on the textual analysis of the Q&A section of earnings conference calls, we document robust evidence that similar corporate cultural values between supply chain partners improve the financial performance of suppliers. Consistent with the view that supplier–customer cultural similarity facilitates communication, promotes altruistic attitudes, and builds trust between trading partners, we find that culturally similar suppliers experience higher cost efficiency, fewer problems with underinvestment, and better innovation performance. Our results also indicate that cultural similarity benefits customers, although to a lesser extent. Overall, our study sheds new light on how inter-firm cultural similarity influences firm performance along the supply chain.

This paper investigates the impact of institutional herding on stock price formation, conditional on firms’ credit ratings, using 13F data from 1986 to 2019. In line with the current literature, we find herding intensity is driven by past returns consistent with momentum trading; however, we also find that herding is more sensitive to past returns for non-investment grade (NIG) stocks than investment grade (IG) stocks, resulting in a market bifurcation. We then examine the price impact of these trades and find that herding in NIG equities enhances price discovery. One plausible explanation is that information gradually diffuses within non-investment grade stocks, and herding behavior strengthens information discovery. Finally, we show both momentum-triggered herding and non-momentum-triggered herding contribute to price discovery among non-investment grade stocks.