This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Success and Failure of Technical Trading Strategies in the Cocoa Futures Market

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Peter Boswijk () (University of Amsterdam)
Gerwin Griffioen () (University of Amsterdam)
Cars Hommes () (University of Amsterdam)

Additional information is available for the following registered author(s):

Abstract

A large set of 5350 trend following technica! trading rules is applied to LIFFE and CSCE cocoa futures prices, and to the Pound-Dollar exchange rate, in the period 1983:1-1997:6. We find that 72% of the trading rules generates positive profits, even when correcting for transaction and borrowing costs, when applied to the LIFFE cocoa futures prices. Moreover, a large set of trading rules exhibits statistically significant forecasting power of the LIFFE cocoa futures series. On the other hand the same set of strategies performs poor on the CSCE cocoa futures prices, with only 18% generating positive net profits and hardly any statistically significant forecasting power. The large difference in the performance of technical trading may be attributed to a combination of the demand/supply mechanism in the cocoa market and an accident al influence of the Pound- Dollar exchange rate, reinforcing trends in the LIFFE cocoa futures but weakening trends in the CSCE cocoa futures. Our case-study suggests a connection between the succes or failure of technical trading and the relative magnitudes of trend and volatility of the underlying series.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.tinbergen.nl/discussionpapers/01016.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 01-016/1.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 06 Feb 2001
Date of revision:
Handle: RePEc:dgr:uvatin:20010016

Contact details of provider:
Web page: http://www.tinbergen.nl/

For technical questions regarding this item, or to correct its listing, contact: (Walther Schoonenberg).

Related research
Keywords: technical trading strategies; commodity futures; exchange rate;

Other versions of this item:

This paper has been announced in the following NEP Reports: Cited by:
(explanations, 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.)
  1. Colin Fyfe & John Marney & Heather Tarbert, 2005. "Risk adjusted returns from technical trading: a genetic programming approach," Applied Financial Economics, Taylor and Francis Journals, vol. 15(15), pages 1073-1077, October. [Downloadable!] (restricted)
  2. Carl Chiarella & Xue-Zhong He & Cars Hommes, 2004. "A Dynamic Analysis of Moving Average Rules," Research Paper Series 133, Quantitative Finance Research Centre, University of Technology, Sydney. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? IDEAS is not the only service displaying RePEc data. Choose on RePEc which service fits your needs best.

This page was last updated on 2009-11-26.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.