We study the impact of firm and industry characteristics on small firms’ capital structure, employing a proprietary database containing financial statements of Dutch small and medium-sized enterprises (SMEs) from 2003 to 2005. The firm characteristics suggest that the capital structure decision is consistent with the pecking-order theory: Dutch SMEs use profits to reduce their debt level, and growing firms increase their debt position since they need more funds. We further document that profits reduce in particular short-term debt, whereas growth increases long-term debt. We also find that inter- and intra-industry effects are important in explaining small firms’ capital structure. Industries exhibit different average debt levels, which is in line with the trade-off theory. Furthermore, there is substantial intra-industry heterogeneity, showing that the degree of industry competition, the degree of agency conflicts, and the heterogeneity in employed technology are also important drivers of capital structure.

A proportional decrease in switching costs increases competition and social welfare. However, a lump-sum decrease in switching costs softens competition and does not invariably increase social welfare.

Loan rates for seemingly identical borrowers often exhibit substantial dispersion. This paper investigates the determinants of the dispersion in interest rates on loans granted by banks to small and medium sized enterprises. We associate this dispersion with the loan officers’ use of “discretion” in the loan rate setting process. We find that “discretion” is most important if: (i) loans are small and unsecured; (ii) firms are small and opaque; (iii) the firm operates in a large and highly concentrated banking market; and (iv) the firm is distantly located from the lender. Consistent with the proliferation of information-technologies in the banking industry, we find a decreasing role for “discretion” over time in the provision of small credits to opaque firms. While widely used in the pricing of loans, “discretion” plays only a minor role in the decisions to grant loans.

Assessing the impacts of bank mergers on small firms requires separating borrowers with single versus multiple banking relationships and distinguishing the three alternatives of “staying,” “dropping,” and “switching” of relationships. Single-relationship borrowers who “switch” to another bank following a merger will be less harmed than those whose relationship is “dropped” and not replaced. Using Belgian data, we find that single-relationship borrowers of target banks are more likely than other borrowers to be dropped. We track postmerger performance and show that many dropped target-bank borrowers are harmed by the merger. Multiple-relationship borrowers are less harmed, as they can better hedge against relationship discontinuations.

This paper provides evidence on the relationship between finance and growth in a fast growing country, such as China. Employing data of 27 Chinese provinces over the period 1995–2003, we study whether the financial development of two different types of financial institutions — banks and non-banks — have a (significantly different) impact on local economic growth. Our findings indicate that banking development shows a statistically significant and economically more pronounced impact on local economic growth.

We use administrative and supervisory data at the bank and loan level to investigate the impact of the introduction of covered bonds on the composition of bank balance sheets and bank risk. Covered bonds, despite being collateralized by mortgages, lead to a shift in bank lending from mortgages to corporate loans. Young and low-rated firms in particular receive more credit, suggesting that overall credit risk increases. At the same time, we find that total balance sheet liquidity increases. We identify the channel in a theoretical model and provide empirical evidence: Banks with low initial liquidity and banks with sufficiently high risk-adjusted return on firm lending drive the results.

This paper provides evidence for the propagation of idiosyncratic mortgage supply shocks to the macroeconomy. Based on micro-level data from the Home Mortgage Disclosure Act for the 1990-2016 period, our results suggest that lender-specific mortgage supply shocks affect aggregate mortgage, house price, and employment dynamics at the regional level. The larger the idiosyncratic shocks to newly issued mortgages, the stronger are mortgage, house price, and employment growth. While shocks at the level of shadow banks significantly affect mortgage and house price dynamics, too, they do not matter much for employment.

This paper provides evidence that banks cut lending to US borrowers as a consequence of a trade shock. This adverse reaction is stronger for banks with higher ex-ante lending to US industries hit by the trade shock. Importantly, I document large heterogeneity in banks‘ reaction depending on their sectoral specialisation. Banks shield industries in which they are specialised in and at the same time reduce the availability of credit to industries they are not specialised in. The latter is driven by low-capital banks and lending to firms that are themselves hit by the trade shock. Banks‘ adjustments have adverse real effects.

Events which have an adverse or positive effect on some firms can disseminate through the economy to firms which are not directly affected. By exploiting the first large sovereign bond purchase programme of the ECB, this paper investigates whether more lending to some firms spill over to firms in the surroundings of direct beneficiaries. Firms operating in the same industry and region invest less and reduce employment. The paper shows the importance to consider spillover effects when assessing unconventional monetary policies: Differences between treatment and control groups can be entirely attributed to negative effects on the control group.

Asset purchase programmes (APPs) may insulate banks from having to terminate relationships with unproductive customers. Using administrative plant and bank data, we test whether APPs impinge on industry dynamics in terms of plant entry and exit. Plants in Germany connected to banks with access to an APP are approximately 20% less likely to exit. In particular, unproductive plants connected to weak banks with APP access are less likely to close. Aggregate entry and exit rates in regional markets with high APP exposures are also lower. Thus, APPs seem to subdue Schumpeterian cleansing mechanisms, which may hamper factor reallocation and aggregate productivity growth.