Which banks smooth and at what price?

By adjusting lending, banks can smooth the macroeconomic impact of deposit fluctuations. This may, however, lead to extended periods of disproportionately high lending relative to deposit intake and, under certain conditions, to the accumulation of risk in the banking system. Using bank-level data for 8477 banks in 129 countries for the period from 1992 to 2015, we examine how banks' market power and other characteristics may contribute to smoothing or amplification of shocks and the accumulation of risk. We find that the higher their market power the lower is the growth rate of lending relative to deposits. As a result, in periods of falling deposits higher market power for the average bank is associated with a greater fall in lending, consistent with amplification of adverse effects during relatively bad times. Strikingly, at very high levels of market power, there is a threshold past which the effect of market power on the growth rate of lending relative to deposits turns positive so that “superpower” banks may contribute to the smoothing of adverse effects when deposits are falling. In periods of rising deposits, however, such banks are more likely to lead to amplification and accumulation of risk in the economy

Enforcement actions on banks and the structure of loan syndicates

We investigate the effect of regulatory enforcement actions on banks' reputation by estimating the effect of non-compliance with laws and regulations among lead arrangers on the structure of syndicated loans. Consistent with a regulatory reputational stigma, a punished lead arranger increases her loan share to entice participants to continue to co-finance the loan. Consequently, when punished lead arranger initiates a new syndicated loan, then this loan tends to be more concentrated and co-funded by participants with previous collaboration with the lead arranger. However, the observed share increases by punished lead arrangers are seemingly mitigated by extending the loan guarantees, performance pricing provisions, and covenants

Who lends to riskier and lower-profitability firms? Evidence from the syndicated loan market

This paper exploits a unique data set on bank–firm relationships based on syndicated loan deals to examine the effect of banks’ credit risk and capital on firms’ risk and performance. Our data set is a multilevel cross-section, which essentially allows controlling for all bank and firm characteristics through respective fixed effects, thus avoiding concerns regarding omitted variables. We find that banks with higher credit risk are associated with more risky firms, with lower profitability and market value. In turn, we find that banks with higher risk-weighted capital ratios lend to riskier firms with less market value. Our results are indicative of a strong adverse selection mechanism and highlight the need to monitor the risky banks more closely, especially as we consider large and influential syndicated loan deals

Gender board diversity and the cost of bank loans

We examine the relationship between female board representation and the cost of lending, using a dataset of 13,714 loans from 386 banks matched with 2432 non-financial firms from 1999 to 2013. We find that firms with female directors command lower loan spreads. In addition, female independent directors have a stronger impact on lowering spreads compared to female directors' other attributes. However, as firms build relationships with their lenders this effect becomes less potent. Finally, when we introduce firm-level heterogeneity we document that changes in gender diversity exert a stronger impact on the cost of lending in the case of bank-dependent firms, especially for relationship borrowers

Which Banks Smooth and at What Price?

By adjusting their lending, banks can smooth or amplify the macroeconomic impact of deposit fluctuations. This may however lead to extended periods of disproportionately high lending relative to deposit intake, resulting in the accumulation of risk in the banking system. Using bank-level data for 8,477 banks in 129 countries for the 24-year period from 1992 to 2015, we examine how individual banks' market power and other characteristics may contribute to smoothing or amplification of shocks and to the accumulation of risk. We find that the higher their market power the lower is the growth rate of lending relative to deposits. As a result, in periods of falling deposits, higher market power for the average bank would be associated with a greater fall in lending resulting in amplification of adverse effects as deposits fall during relatively bad times. Strikingly, at very high levels of market power there is a threshold past which the effect of market power on the growth rate of lending relative to deposits turns positive so that "superpower" banks contribute to smoothing of adverse effects when deposits are falling. In periods of rising deposits, however, such banks lead to amplification and accumulation of risk in the economy

Diversity and women in finance: Challenges and future perspectives

This paper explores the main forces impacting diversity and the role of women at senior management and board level in finance. In addition, it offers a synopsis of selected research examining the board composition, corporate social responsibility and external corporate governance. We focus mainly on empirical papers that employ quasi-natural experiments and textual analysis to confirm the interdisciplinary nature of diversity. Further, we identify priorities for future research that can advance our understanding on this research area, and the broader field of financial studies, encompassing the growing interest in the boundaries between the economic, the psychological and the social

Credit Market Spillovers: Evidence from a Syndicated Loan Market Network

A large theoretical literature emphasizes the importance of financial networks, but empirical studies remain scarce. Due to overlapping bank portfolios, the syndicated loan market provides a natural setting to study financial networks. We exploit the tiered structure of syndicated loans to construct such a network and characterize quantitatively its evolution over time. A spatial autoregressive model provides an ideal methodological framework to estimate spillovers from this financial network to lending rates and quantities. We find that these spillovers are economically large, time-varying and can switch sign after major economic shocks. Moreover, we find that network complexity and uncertainty rise after a large negative shock. Counterfactual experiments confirm the quantitative importance of spillovers and network structure on lending rates and quantities and can be used to disentangle the effects arising from spillovers versus changes in network structure