This technical note analyzes the competition in the banking sector in Denmark. It reveals that Denmark has a fairly competitive and efficient banking sector. Measured by various indicators, efficiency of banking intermediation has been improving in recent years. The banking sector has become...

The paper assesses the degree of banking competition and efficiency in Italy?over time as well as compared to that in other countries, such as France, Germany, Spain, the United Kingdom, and the United States. The paper finds competition in the Italian banking sector has intensified in loan and...

This chapter provides a comparative perspective of competition policy and monetary policy. Monetary policy and competition policy are two key components of public policies needed for a market economy to function well, and indeed to exist, just as money and the market are two defining elements of...

Multilateral Consultations are a new tool of multilateral surveillance for the IMF, designed to foster action-oriented debate and policy actions on a problem of systemic or regional importance. The first multilateral consultation focused on facilitating the resolution of global imbalances while...

The 2005 Article IV Consultation for the United States reports that robust productivity growth and high corporate profits have contributed to a strong rebound in business investment and some acceleration in employment. The financial sector appears well positioned to provide continued support to...

This paper discusses the estimation of models of the term structure of interest rates. After reviewing the term structure models, specifically the Nelson-Siegel Model and Affine Term- Structure Model, this paper estimates the terms structure of Treasury bond yields for the United States with...

The 2008 crisis underscored the interconnectedness of the international business cycle, with U.S. shocks leading to the largest global slowdown since the 1930s. We estimate spillover effects across major advanced country regions in a structural VAR (SVAR) using pre-crisis data. Our new method...