We investigate whether the introduction of fixed-price U.S. federal deposit insurance in 1933 increased the risk-taking of banks over the succeeding period. We examine 60 financial institutions and find that banks and trusts in general became more risky after the introduction of deposit insurance. However, a subset of well-performing banks appears to have reduced their risk. Deposit insurance also reduced the incentives of depositors to discriminate between ex ante weaker and stronger banks thus reducing depositor discipline in return for greater banking system stability.

This paper is the first in the literature to examine the determinants of US credit card penalty fees. Many critics of credit card fees – including a number of US Senators – have argued that credit card penalty fees reflect banks’ market share. Using a unique data set we find that fees are increasing in customer risk which supports the position of defenders of penalty fees, such as banks. However, our finding that fees are increasing in a bank's market share is consistent with the concerns expressed by politicians and regulators. We also find card penalty fees are direct substitutes for card interest rates.

This paper examines the effect that heterogeneous customer orders flows have on exchange rates by using a new, and the largest, proprietary dataset of weekly net order flow segmented by customer type across nine of the most liquid currency pairs. We make several contributions. Firstly, we investigate the extent to which customer order flow can help to explain exchange rate movements over and above the influence of macro-economic variables. Secondly, we address the issue of whether order flows contain (private) information which explain exchange rates changes. Thirdly, we look at the usefulness of order flow in forecasting exchange rate movements at longer horizons than those generally considered in the micro-structure literature. Finally we address the question of whether the out-of-sample exchange rate forecasts generated by order flows can be employed profitably in the foreign exchange markets.

We find that repeated borrowing from the same lender translates into a 10–17 bps lowering of loan spreads and that relationships are especially valuable when borrower transparency is low. These results hold using multiple approaches (propensity score matching, instrumental variables, and treatment effects model) that control for the endogeneity of relationships. We also provide a demarcation line between relationship and transactional lending. Spreads charged for relationship loans and nonrelationship loans are statistically identical if the borrower is in the largest 30% by asset size; has public rated debt; or is part of the S&P 500 index. Past relationships reduce collateral requirements and are also associated with obtaining larger loans. Our results imply that, even for firms that have multiple sources of outside financing, borrowing from a prior lender obtains better loan terms.