One of the most influential tests of the expectations hypothesis is Mankiw and Miron [Q. J. Econ. 101 (1986) 211], who found that the spread between the long-term and short-term rates provided predictive power for the short-term rate before the Fed's founding but not after. They suggested that the failure of the expectations hypothesis after the Fed's founding was due to the Fed's practice of smoothing short-term interest rates. We show that their finding that the expectations hypothesis fares better prior to the Fed's founding is due to the fact that the test they employ tends to generate results that are more favorable to the expectations hypothesis during periods when there is extreme volatility in the short-term rate.

Do tightenings of bank lending standards permanently reduce bank lending? We construct a measure of a bank’s level of lending standards using micro-data from the sample of banks participating in the Eurosystem Bank Lending Survey in The Netherlands and show that this level measure affects business lending. The level effect is statistically robust and economically relevant; a one point tightening reduces a bank’s quarterly growth rate of business lending by about half a percentage point until bank lending standards are eased. This level effect of bank lending standards helps to explain low bank lending growth after a period of prolonged tightening as well as high bank lending growth in a period of prolonged easing. As such, the analysis provides another potential indicator for macroprudential policy.

We study the effects of imposing repeated short-horizon regulatory constraints on long-term investors. We show that Value-at-Risk and Expected Shortfall constraints, when imposed dynamically, lead to similar optimal portfolios and wealth distributions. We also show that, in utility terms, the costs of imposing these constraints can be sizeable. For a 96% funded pension plan, both an annual Value-at-Risk constraint and an annual Expected Shortfall constraint can lead to an economic cost of about 2.5–3.8% of initial wealth over a 15-year horizon.

This paper positions the pure-play internet banking model (PPI) as a hybrid business model that combines features of both relationship and transaction banking. Although in terms of customer orientation PPI banks may partly resemble relationship banks, they lack their comparative advantage in generating borrower-specific information. Instead, the characteristic features of PPI banks are low costs and easy scalability. While the latter may enable PPI banks to quickly capture market share, it may also generate overexposure in risky markets. We present a case study on ING Direct, one of the leading global PPI banks and address the sustainability of the PPI business model by comparing the ING Direct foreign operations. The findings for ING Direct are validated using data for E-Trade Bank. We conclude that managing growth appears to be the prime challenge to PPI banks.

In this paper we focus on the assumption of a common efficient frontier when performing an efficiency study for the banking sector. The fact that environmental factors that are not appropriately controlled may easily bias efficiency estimates. First, we estimate a common cost and profit frontier. In this first stage, as an innovation to the literature, we use exogenously computed input prices rather than the normally used endogenous input prices. Second, we regress the estimated inefficiencies on a set of a bank’s strategic choices, local banking market variables, and local (regional) macro variables. For the analysis, we use a unique dataset of 401 largely independent cooperative local banks in the Netherlands for the years 1998 and 1999. Our results show that the use of exogenous input prices rather than endogenous input prices is particularly important for the cost frontier as the spread in cost inefficiencies becomes larger and more plausible. Our second stage results suggest that most of the estimated inefficiency indeed is managerial (X-) inefficiency. Environmental factors do play a role, but only to a limited extent.

We test whether hedging currency risk improves the performance of international stock portfolios.We show that an auxiliary regression provides a wealth of information about the optimal portfolio holdings for non-mean–variance investors, analogous to the information provided by the Jensen regression about optimal portfolio holdings for the mean–variance case. We find that static hedging with currency forwards does not lead to significant improvements in portfolio performance for a US-Dollar based stock portfolio from the G5 countries, whereas dynamic hedges that are conditional on the interest rate spread do. These conclusions hold for both mean–variance and power utility investors and show up both in-sample and out-of-sample. However, the optimal forward positions can differ significantly for both types of investors.

We present a simple put option pricing procedure within an asset–liability valuation model that can be used to estimate the incentives facing stock-based life insurance firms to voluntarily sell their businesses under various operating and regulatory conditions. Estimates are derived for samples of 11 sold firms and 24 continuing Australian life insurance companies over a period of industry consolidation. The put option values interact with other actuarial and accounting components of the fair value of these life insurance firms and are used to assess the effectiveness of accounting and actuarial measures of capital, under static or dynamic based solvency testing models.