Technical trading rules in the European Monetary System
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 differential proved to be important. The reduction in volatility resulting from the imposition of a narrower band may reduce trading rule profitability. The currency for which there was least evidence of significant excess returns was the Dutch guilder, which was also the only currency that remained within a band of 2.25% throughout our sample period. Our results cannot be duplicated by the moving average or filter rules commonly used by technical analysts or by two trading rules designed specifically to exploit known features of target zone exchange rates. The observed excess returns cannot be explained as compensation for bearing systematic risk.
|Date of creation:||1998|
|Publication status:||Published in Journal of International Money and Finance, June 1999, 18(3), pp. 429-58|
|Contact details of provider:|| Postal: P.O. Box 442, St. Louis, MO 63166|
Web page: http://www.stlouisfed.org/
More information through EDIRC
|Order Information:|| Email: |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sweeney, Richard J, 1986. " Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
- Lee, Chun I. & Mathur, Ike, 1996. "Trading rule profits in european currency spot cross-rates," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 949-962, June.
- Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997.
"Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach,"
Journal of Financial and Quantitative Analysis,
Cambridge University Press, vol. 32(04), pages 405-426, December.
- Dittmar, Robert & Neely, Christopher J & Weller, Paul, 1996. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," CEPR Discussion Papers 1480, C.E.P.R. Discussion Papers.
- Christopher J. Neely & Paul A. Weller & Robert Dittmar, 1997. "Is technical analysis in the foreign exchange market profitable? a genetic programming approach," Working Papers 1996-006, Federal Reserve Bank of St. Louis.
- Hodrick, Robert J. & Srivastava, Sanjay, 1986. "The covariation of risk premiums and expected future spot exchange rates," Journal of International Money and Finance, Elsevier, vol. 5(1, Supple), pages 5-21, March.
- Robert J. Hodrick & Sanjay Srivastava, 1985. "The Covariation of Risk Premiums and Expected Future Spot Exchange Rates," NBER Working Papers 1749, National Bureau of Economic Research, Inc.
- Neely, Christopher J. & Weller, Paul A., 2001. "Technical analysis and central bank intervention," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 949-970, December.
- Paul Weller & Christopher Neely, 1999. "Technical Analysis and Central Bank Intervention," Working Papers wp99-04, Warwick Business School, Finance Group.
- Christopher J. Neely & Paul A. Weller, 2000. "Technical analysis and central bank intervention," Working Papers 1997-002, Federal Reserve Bank of St. Louis.
- Krugman, Paul & Miller, Marcus, 1993. "Why have a target zone?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 38(1), pages 279-314, June.
- Krugman, Paul & Miller, Marcus, 1992. "Why Have a Target Zone?," CEPR Discussion Papers 718, C.E.P.R. Discussion Papers.
- Krugman, P. & Miller, M., 1992. "Why Have a Target Zone?," The Warwick Economics Research Paper Series (TWERPS) 394, University of Warwick, Department of Economics.
- repec:fth:pennfi:70 is not listed on IDEAS
- Franklin Allen & Risto Karjalainen, "undated". "Using Genetic Algorithms to Find Technical Trading Rules (Revised: 20-95)," Rodney L. White Center for Financial Research Working Papers 20-93, Wharton School Rodney L. White Center for Financial Research.
- Levich, Richard M. & Thomas, Lee III, 1993. "The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach," Journal of International Money and Finance, Elsevier, vol. 12(5), pages 451-474, October.
- Cumby, Robert E. & Modest, David M., 1987. "Testing for market timing ability : A framework for forecast evaluation," Journal of Financial Economics, Elsevier, vol. 19(1), pages 169-189, September.
- Neely, Christopher J., 1999. "Target zones and conditional volatility: The role of realignments," Journal of Empirical Finance, Elsevier, vol. 6(2), pages 177-192, April.
- Christopher J. Neely, 1998. "Target zones and conditional volatility: the role of realignments," Working Papers 1994-008, Federal Reserve Bank of St. Louis.
- Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. " Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
- Brock, W. & Lakonishok, J. & Lebaron, B., 1991. "Simple Technical Trading Rules And The Stochastic Properties Of Stock Returns," Working papers 90-22, Wisconsin Madison - Social Systems.
When requesting a correction, please mention this item's handle: RePEc:fip:fedlwp:1997-015. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anna Xiao)
If references are entirely missing, you can add them using this form.