This paper extends the genetic programming techniques developed in Neely, Weller and Dittmar (1997) to provide some evidence that information about U.S. foreign exchange intervention can improve technical trading rules' profitability for two of four exchange rates over part of the out-of-sample...

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),...

This paper describes the use of genetic programming to create trading rules based on past exchange rates and interest differentials. In an out-of-sample period, 1986-1996, these rules make significantly positive excess returns for three of four EMS exchange rates. There is evidence that the...

Using genetic programming techniques to find technical trading rules, we find strong evidence of economically significant out-of-sample excess returns to those rules for each of six exchange rates, over the period 1981-1995. Further, when the dollar/deutschemark rules are allowed to determine...

Using a general equilibrium representative agent framework developed by Lucas (1978), Hansen and Singleton (1983) studied the behaviour of asset returns and consumption growth with maximum likelihood techniques. The model was rejected, but their work is commonly cited for estimates of the...

The real interest rate plays a central role in many important financial and macroeconomic models, including the consumption-based asset pricing model, neoclassical growth model, and models of the monetary transmission mechanism. We selectively survey the empirical literature that examines the...

We review macroeconomic performance over the period since the Global Financial Crisis and the challenges in the pursuit of the Federal Reserve's dual mandate. We characterize the use of forward guidance and balance sheet policies after the federal funds rate reached the effective lower bound. We...