Using a battery of timely multivariate time series techniques I study the Bitcoin cryptocurrency price series and web search queries with regard to their mutual predictability, Granger-causality and cause-effect delay structure. The Bitcoin is at first treated as a general currency, then as a...

We show that political booms, measured by the rise in governments' popularity, predict financial crises above and beyond other better-known early warning indicators, such as credit booms. This predictive power, however, only holds in emerging economies. We show that governments in emerging...

In the course of history, a large number of politicians have been assassinated. Rational choice hypotheses are developed and tested using panel data covering more than 100 countries over a period of 20 years. Several strategies, in addition to security measures, are shown to significantly reduce...

The US decision not to ratify the Kyoto Protocol and the recent outcomes of the Bonn and Marrakech Conferences of the Parties drastically reduces the effectiveness of the Kyoto Protocol in controlling GHG emissions. The reason is not only the reduced emission abatement in the US, but also the...

This paper considers the treatment of multinational business in the system known as an X Tax. The focus is on the choice between origin and destination treatments of transborder transactions. The destination-principle approach sidesteps the transferpricing problem. It remains in the...

We study the efficacy of releases from the U.S. Strategic Petroleum Reserve (SPR) within the context of fully specified models of the global oil market that explicitly allow for storage demand as well as unanticipated changes in the SPR. Using novel identifying strategies and evaluation methods,...

We use two approaches to examine the macroeconomic consequences of disruptions in global food commodity markets. First, we embed a novel quarterly composite global production index for the four basic staples (corn, wheat, rice and soybeans) in a standard vector autoregression (VAR) model, and we...