This paper addresses whether currency trades have greater price impact when public information is flowing rapidly. We develop an optimizing model to account for why public news should increase the price impact of trades. Using transaction data made available by electronic trading, we test...

Macroeconomic models of nominal exchange rates perform poorly. In sample, R2 statistics as high as 10 percent are rare. Out of sample, these models are typically out-forecast by a na‹ve random walk. This paper presents a model of a new kind. Instead of relying exclusively on macroeconomic...

This paper tests whether macroeconomic news is transmitted to exchange rates via the transactions process and if so, what share occurs via transactions versus the traditional direct channel. We identify the link between order flow and macro news using a heteroskedasticity-based approach, a la...

This paper compares the true, ex-ante forecasting performance of a micro-based model against both a standard macro model and a random walk. In contrast to existing literature, which is focused on longer horizon forecasting, we examine forecasting over horizons from one day to one month (the...

I test three potentially complementary models in an effort to capture the fundamentals that underlaid the market's determination of Peru's floating exchange rate through the period 1950-54: the first is an expectational purchasing power parity (PPP) model which maintains that asset market forces...