Investors face reduced incentives to finance technological change that devalues their legacy investments. We formalize this “asset overhang” and apply our framework to the climate-banking nexus. Leveraging (1) firm-level data on green innovation and diffusion and (2) the sets of product and technology market peers, we implement a shift-share design that identifies banks’ credit facilities impacted by green firm activities. We find that green firms imposing an asset overhang across all lenders are 3 to 7 percentage points more likely to report tight credit supply conditions. The presence of legacy-free investors mitigates the asset overhang problem, thereby facilitating technological change.

Since 1990, London’s SEAQ International (SEAQ-I) has attracted considerable trading volume in Belgian equities. This paper investigates competition between the Brussels CATS market and London’s SEAQ-I. Toward this end, we gathered extensive limit order book data as well as transactions and quotation information. With regard to liquidity (indirect costs), measured by the quoted and effective bid–ask spread, the paper concludes that CATS outperforms SEAQ International for both measures. The effective spread is of course substantially smaller than the quoted spread, with the CATS effective spread showing a U-shaped form. This paper, unique in employing an extensive data set that includes all hidden orders and the whole limit order book, produces results in line with the different market microstructure models. Total trading costs on CATS are lower (higher) for small (large) trade sizes.

Regulators are concerned that large volumes of trading outside lit venues (i.e., dark trading) harms the functioning of financial markets. In contrast, regulators are neutral about hidden-order trading as these occur on lit venues and are associated with positive effects on market quality. An unanswered economic question concerns the interrelation between these two types of opaque trading, i.e., hidden orders and dark trading. Employing two different empirical methodologies we find that dark and hidden-order trading are substitutes. We also show that both types of opaque trading increase when markets are volatile and fewer algorithmic trading occurs. Smart order routing increases dark trading but reduces hidden-order activity.

We conduct face-to-face interviews with bank chief executive officers to classify 397 banks across 21 countries as relationship or transaction lenders. We then use the geographic coordinates of these banks’ branches and of 14,100 businesses to analyze how the lending techniques of banks near firms are related to credit constraints at two contrasting points of the credit cycle. We find that while relationship lending is not associated with credit constraints during a credit boom, it alleviates such constraints during a downturn. This positive role of relationship lending is stronger for small and opaque firms and in regions with a more severe economic downturn. Moreover, relationship lending mitigates the impact of a downturn on firm growth and does not constitute evergreening of loans.

Different modes of external finance provide heterogeneous benefits for the borrowing firms. Informal finance offers informational advantages whereas formal finance is scalable. Using unique survey data from China, we find that informal finance is associated with higher sales growth for small firms but lower sales growth for large firms. We identify a complementary effect between informal and formal finance for the sales growth of small firms, but not for large firms. Co-funding, thereby simultaneously using the informational advantage of informal finance and the scalability of formal finance, is therefore the optimal choice for small firms.

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.

We investigate how bank organization shapes banking competition. We show that a bank's geographical lending reach and loan pricing strategy is determined by its own and its rivals’ organizational structure. We estimate the impact of organization on the geographical reach and loan pricing of a large bank. We find that the reach of the bank is smaller when rival banks are large and hierarchically organized, have superior communication technology, have a narrower span of organization, and are closer to a decision unit with lending authority. Rival banks’ size and the number of layers to a decision unit soften spatial pricing.

We study the effect on loan conditions of geographical distance between firms, the lending bank, and all other banks in the vicinity. For our study, we employ detailed contract information from more than 15,000 bank loans to small firms comprising the entire loan portfolio of a large Belgian bank. We report the first comprehensive evidence on the occurrence of spatial price discrimination in bank lending. Loan rates decrease with the distance between the firm and the lending bank and increase with the distance between the firm and competing banks. Transportation costs cause the spatial price discrimination we observe.

How does bank distress impact their customers' probability of default and trade credit availability? We address this question by looking at a unique sample of German firms from 2000 to 2011. We follow their firm-bank relationships through times of distress and crisis, featuring the different transmission of bank distress shocks into already weakened firm balance sheets. We find that a distressed bank bailout, which is subject to restructuring and deleveraging conditions, leads to a bank-induced increase of firms' probabilities of default. Moreover, bailouts tend to reduce trade credit availability and ultimately firms' sales. We further find that the direction and magnitude of the effects depends on firm quality and the relationship orientation of banks.