Discriminatory fees, coordination and investment in shared ATM networks

This paper empirically examines the effects of discriminatory fees on ATM investment and welfare, and considers the role of coordination in ATM investment between banks. Our main findings are that foreign fees tend to reduce ATM availability and (consumer) welfare, whereas surcharges positively affect ATM availability and the different welfare components when the consumers' price elasticity is not too large. Second, an organization of the ATM market that contains some degree of coordination between the banks may be desirable from a welfare perspective. Finally, ATM availability is always higher when a social planner decides on discriminatory fees and ATM investment to maximize total welfare. This implies that there is underinvestment in ATMs, even in the presence of discriminatory feesinvestment, coordination, ATMs, network industries, empirical entry models, spatial discrete choice demand models

Vertical control of a distribution network - an empirical analysis of magazines

How does an upstream firm determine the size of its distribution network, and what is the role of vertical restraints? To address these questions we develop and estimate two models of outlet entry, starting from the basic trade-o¤ between market expansion and fixed costs. In the coordinated entry model the upstream firm sets a market-specific wholesale price to implement the first-best number of outlets. In the restricted/free entry model the upstream firm has insufficient price instruments to target local markets. It sets a uniform wholesale price, and restricts entry in markets where market expansion is low, while allowing free entry elsewhere. We apply the two models to magazine distribution. The evidence is more consistent with the second model where the upstream firm sets a uniform wholesale price and restricts the number of entry licenses. We use the model to assess the profitability of modifying the vertical restraints. A government ban on restriced licensing would reduce profits by a limited amount, so that the business rationale for restricted licensing should be sought elsewhere. Furthermore, introducing market-specific wholesale prices would implement the first-best, but the profit increase would be small, providing a rationale for the current uniform wholesale prices.

Measuring and testing for the systemically important financial institutions

This paper analyzes the measure of systemic importance ΔCoVaR proposed by Adrian and Brunnermeier (2009, 2010) within the context of a similar class of risk measures used in the risk management literature. Inaddition, we develop a series of testing procedures, based on ΔCoVaR, toidentify and rank the systemically important institutions. We stress the importance of statistical testing in interpreting the measure of systemicx importance. An empirical application illustrates the testing procedures, using equity data for three European banks.

Investment and usage of new technologies: evidence form a shared ATM network

When new technologies become available, it is not only essential that .rms have the correct investment incentives, but often also that consumers make the proper usage decisions. This paper studies investment and usage in a shared ATM network. Because all banks coordinate their ATM investment decisions, there is no strategic but only a pure cost-saving incentive to invest. At the same time, because retail fees for cash withdrawals are regulated to zero at both branches and ATMs, consumers may not have the proper incentives to substitute their transactions from branches to the available ATMs. We develop an empirical model of coordinated investment and cash withdrawal demand, where banks choose the number of ATMs and consumers decide whether to withdraw cash at ATMs or branches. We .nd that banks substantially underinvested in the shared ATM network and thus provided too little geographic coverage. This contrasts with earlier .ndings of strategic overinvestment in networks with partial incompatibility. Furthermore, we .nd that consumer usage of the available ATM network is too low because of the zero retail fees for cash withdrawals at branches. A direct promotion of investment (through subsidies or other means) can improve welfare, but the introduction of retail fees on cash withdrawals at branches would be more e¤ective, even if this does not encourage investment per se.new technology, ATM network

Discriminatory fees, coordination and investment in shared ATM networks.

This paper empirically examines the effects of discriminatory fees on ATM investment and welfare, and considers the role of coordination in ATM investment between banks. Our main findings are that foreign fees tend to reduce ATM availability and (consumer) welfare, whereas surcharges positively affect ATM availability and the different welfare components when the consumersâ price elasticity is not too large. Second, an organization of the ATM market that contains some degree of coordination between the banks may be desirable from a welfare perspective. Finally, ATM availability is always higher when a social planner decides on discriminatory fees and ATM investment to maximize total welfare. This implies that there is underinvestment in ATMs, even in the presence of discriminatory fees.

Does one size fit all at all times ? The role of country specificities and state dependencies in predicting banking crises. National Bank of Belgium Working Paper No. 297

Given the indisputable cost of policy inaction in the run-up to banking crises as well as the negative side effects of unwarranted policy activation, policymakers would strongly benefit from early-warning thresholds that more accurately predict crises and produce fewer false alarms. This paper presents a novel yet intuitive methodology to compute country-specific and state-dependent thresholds for early-warning indicators of banking crises. Our results for a selection of early-warning indicators for banking crises in 14 EU countries show that the benefits of applying the conditional moments approach can be substantial. The methodology provides more robust signals and improves the early-warning performance at the country-specific level, by accounting for country idiosyncrasies and state dependencies, which play an important role in national supervisory authorities’ macroprudential surveillance

The impact of sectoral macroprudential capital requirements on mortgage loan pricing: Evidence from the Belgian risk weight add-on. National Bank of Belgium Working Paper No. 306

In December 2013 the National Bank of Belgium introduced a sectoral capital requirement aimed at strengthening the resilience of Belgian banks against adverse developments in the real estate market. This paper assesses the impact of this macroprudential measure on mortgage lending spreads. Our results indicate that affected banks reacted heterogeneously to the introduction of the measure. Specifically, mortgage-specialised and capital-constrained banks increase mortgage lending spreads by a greater amount. As expected, the impact of the measure on mortgage loan pricing has been rather modest in economic terms

Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium. National Bank of Belgium Working Paper No. 338

This paper assesses the sensitivity of solvency stress testing results to the choice of credit risk variable and level of data aggregation at which the stress test is conducted. In practice, both choices are often determined by technical considerations, such as data availability. Using data for the Belgian banking system, we find that the impact of a stress test on banks' Tier 1 ratios can differ substantially depending on the credit risk variable and the level of data aggregation considered. If solvency stress tests are going to be used as a supervisory tool or to set regulatory capital requirements, there is a need to further harmonise their execution across institutions and supervisors in order to enhance comparability. This is certainly relevant in the context of the EU-wide stress tests, where institutions often use different credit risk variables and levels of data aggregation to estimate the impact of the common methodology and macroeconomic scenario on their capital level while supervisors rely on different models to quality assure and validate banks’ results. More generally, there is also a need to improve the availability and quality of the data to be used for stress testing purposes