Showing 1 - 10 of 404
We analyze the intertemporal stability of excess returns to technical trading rules in the foreign exchange market by conducting true, out-of-sample tests on previously studied rules. The excess returns of the 1970s and 1980s were genuine and not just the result of data mining. But these profit...
Persistent link: https://www.econbiz.de/10013159872
The adaptive markets hypothesis posits that trading strategies evolve as traders adapt their behavior to changing circumstances. This paper studies the evolution of trading strategies for a hypothetical trader who chooses portfolios from foreign exchange (forex) technical rules in major and...
Persistent link: https://www.econbiz.de/10009321080
The adaptive markets hypothesis posits that trading strategies evolve as traders adapt their behavior to changing circumstances. This paper studies the evolution of trading strategies for a hypothetical trader who chooses portfolios from foreign exchange (forex) technical rules in major and...
Persistent link: https://www.econbiz.de/10011065685
This article introduces the subject of technical analysis in the foreign exchange market, with emphasis on its importance for questions of market efficiency. Technicians view their craft, the study of price patterns, as exploiting traders’ psychological regularities. The literature on...
Persistent link: https://www.econbiz.de/10008784258
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...
Persistent link: https://www.econbiz.de/10009485295
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),...
Persistent link: https://www.econbiz.de/10009485296
This article investigates the use of genetic programming to forecast out-of-sample daily volatility in the foreign exchange market. Forecasting performance is evaluated relative to GARCH(1,1) and RiskMetrics models for two currencies, DEM and JPY. Although the GARCH/RiskMetrics models appear to...
Persistent link: https://www.econbiz.de/10005352971
We examine the effects of endogenously determined realignment expectations in a model of a target zone with sluggish price adjustment. We allow these expectations to be based on a policy rule which generates an increasing probability of realignment as output moves away from full employment. For...
Persistent link: https://www.econbiz.de/10005449618
We analyze the intertemporal stability of excess returns to technical trading rules in the foreign exchange market by conducting true, out-of-sample tests on previously studied rules. The excess returns of the 1970s and 1980s were genuine and not just the result of data mining. But these profit...
Persistent link: https://www.econbiz.de/10005490883
This paper examines the out-of-sample performance of intraday technical trading strategies selected using two methodologies, a genetic program and an optimized linear forecasting model. When realistic transaction costs and trading hours are taken into account, we find no evidence of excess...
Persistent link: https://www.econbiz.de/10005490980