This paper investigates the global macroeconomic consequences of falling oil prices due to the oil revolution in the United States, using a Global VAR model estimated for 38 countries/regions over the period 1979Q2 to 2011Q2. Set-identification of the U.S. oil supply shock is achieved through...

The United States has pledged to become carbon neutral by 2050, meet sectoral objectives (e.g., for carbon free power, electric vehicles) and encourage greater mitigation among large emitting countries and of international transportation emissions. Fiscal policies at the national, sectoral, and...

This paper assesses liquidity risk for the United States (U.S.) bond mutual funds industry and performs a range of analyses to identify which fund categories are more vulnerable to distress than others, and how sales from funds can impact financial stability. We develop a new measure to identify...

We isolate a U.S. dollar currency premium by comparing corporate bonds issued in the dollar and the euro by firms o utside t he U .S. a nd e uro a rea. We make s everal empirical observations that dissect the perceived advantage of borrowing in the dollar. First, while the dollar dominates...

As the Federal Reserve continues to normalize its monetary policy, this paper studies the impact of U.S. interest rates on rates in other countries. We find a modest but nontrivial pass-through from U.S. to domestic short-term interest rates on average. We show that, to a large extent, this...

The strong US policy response to the 2008-09 financial crisis raised concerns about its impact (spillovers) on other countries, with great focus on the monetary stimulus but little attention to fiscal policy, despite their combined deployment. Using a sign-restricted structural VAR approach, we...

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...