Using methods from machine learning we show that fundamentals from simple exchange rate models (PPP or UIRP) or Taylor-rule based models lead to improved exchange rate forecasts for major currencies over the floating period era 1973--2014 at a 1-month forecast horizon which beat the no-change...

Using Benford's law, we find evidence supporting the hypothesis that countries at times misreport their economic data strategically. We group countries with similar economic conditions and find that for countries with fixed exchange rate regimes, high negative net foreign asset positions,...

Using Benford's Law, we find evidence supporting the hypothesis that countries at times misreport their economic data strategically. We group countries with similar economic conditions and find that for countries with fixed exchange rate regimes, high negative net foreign asset positions,...

We find evidence supporting the hypothesis that countries at times misreport their economic data in a strategic manner. Among those suspected are countries with fixed exchange rate regimes, high negative net foreign asset positions or negative current account balances, which corroborates the...

Using methods from machine learning - adaptive sequential ridge regression with discount factors - that prevent overfitting in-sample for better and more stable forecasting performance out-of-sample we show that fundamentals from the PPP, UIRP and monetary models consistently improve the...

The authors provide the first evidence that changes in risk-based capital requirements for banks affect the real economy through international trade. Using a natural experiment – mandatory Basel II adoption in its Standardized Approach by all banks in Turkey on July 1, 2012 – they...

Using inter-state banking deregulation in the U.S. as an exogenous experiment, the authors find that a 1% increase in banking integration between U.S. states caused a 0.164-0.184% increase in the foreign exports/domestic shipments ratio for U.S. state level exports in the years 1992-1996. They...