Quantitative Goals for Monetary Policy

We study empirically the macroeconomic effects of an explicit de jure quantitative goal for monetary policy. Quantitative goals take three forms: exchange rates, money growth rates, and inflation targets. We analyze the effects on inflation of both having a quantitative target and hitting a declared target. Our empirical work uses an annual data set covering 42 countries between 1960 and 2000, and takes account of other determinants of inflation (such as fiscal policy, the business cycle, and openness to international trade) and the endogeneity of the monetary policy regime. We find that both having and hitting quantitative targets for monetary policy is systematically and robustly associated with lower inflation. The exact form of the monetary target matters somewhat (especially for the sustainability of the monetary regime) but is less important than having some quantitative target. Successfully achieving a quantitative monetary goal is also associated with less volatile output.     

Stock Market Comovements and Industrial Structure

We use monthly stock indices for 58 countries to construct pairwise correlations of returns and explain these correlations with risk‐adjusted differences in industrial structure across countries. We find that countries with similar industries exhibit higher stock market comovements. The results are robust to the inclusion of other regressors such as differences in income per capita, stock market capitalizations, measures of institutions, as well as various fixed time, country, and country‐pair effects. Our results are consistent with models where the impact of each industry‐specific shock is proportional to the share of this industry in the overall industrial output of the country.     

U.S. Banking Sector Operational Losses and the Macroeconomic Environment

Using supervisory data from large U.S. bank holding companies (BHCs), we find that BHCs incur more operational losses in adverse macroeconomic conditions driven significantly by the higher frequency and severity of tail events. Among different operational risk types, we find that losses from BHCs' failure to meet obligations to clients or from the design of their products are particularly countercyclical. We also show that larger and more leveraged BHCs have a higher macroeconomic sensitivity of operational risk. Overall, our findings provide new evidence regarding U.S. banking organizations' exposure to macroeconomic shocks with implications for risk management practices and supervisory policy.