This paper argues that inferring long-horizon asset-return predictability from the properties of vector autoregressive (VAR) models on relatively short spans of data is potentially unreliable. We illustrate the problems that can arise by re-examining the findings of Bekaert and Hodrick (1992),...

It is a robust finding that technical trading rules applied to foreign exchange markets have earned substantial excess returns over long periods of time. However, the approach to risk adjustment has typically been rather cursory, and has tended to focus on the CAPM. We examine the returns to a...

Event studies show that Fed unconventional announcements of forward guidance and large scale asset purchases had large and desired effects on asset prices but do not tell us how long such effects last. Wright (2012) used a structural vector autoregression (SVAR) to argue that unconventional...

Using the genetic programming methodology developed in Neely, Weller and Dittmar (1997), we find trading rules that generate significant excess returns for three of four EMS exchange rates over the out-of-sample period 1986-1996. Permitting the rules to use information about the interest rate...

This paper extends the genetic programming techniques developed in Neely, Weller and Dittmar (1997) to show that technical trading rules can make use of information about U.S. foreign exchange intervention to improve their out-of-sample profitability for two of four exchange rates. Rules tend to...