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Technical Trading Rules in the European Monetary System
Christopher J. Neely Federal Reserve Bank of St. Louis - Research Division Paul A. Weller University of Iowa - Department of Finance November 17, 1998 Working Paper No. 97-015c Abstract: Using genetic programming, 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 differential proved to be important. The reduction in volatility resulting from the imposition of a narrower band may reduce trading rule profitability. Our results cannot be duplicated by commonly used moving average rules, filter rules or by two rules designed to exploit known features of target zone rates. There is no evidence that the excess returns are compensation for bearing systematic risk.
JEL Classifications: G0, G14 Working Paper SeriesDate posted: December 21, 1998 ; Last revised: March 31, 2000Suggested CitationContact Information
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