Learning to profit with discrete investment rules
AbstractThe learning of optimal discrete investment rules is analysed and related to the problem of forecasting financial returns. The aim is twofold: to characterize some 'good' learning methods for agents using investment rules of this form and to explain why many observed investment rules such as technical trading rules are discrete. A consistent estimator for discrete investment rules is used and it is shown, using simulations, that direct estimation of investment rules is preferable to the estimation of forecasting models to be used in such rules. This model and the associated results indicate there are a number of reasons why it may be easier to learn a good discrete investment rule than to learn a continuous rule; this provides a partial explanation of why discrete investment rules are used so widely.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Quantitative Finance.
Volume (Year): 1 (2001)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=111405
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Dewachter, Hans & Lyrio, Marco, 2006.
"The cost of technical trading rules in the Forex market: A utility-based evaluation,"
Journal of International Money and Finance,
Elsevier, vol. 25(7), pages 1072-1089, November.
- Dewachter, H.D.R. & Lyrio, M., 2003. "The Cost of Technical Trading Rules in the Forex Market: A Utility-based Evaluation," Research Paper ERS-2003-052-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.