EconPapers    
Economics at your fingertips  
 

The performance analysis of chart patterns: Monte Carlo simulation and evidence from the euro/dollar foreign exchange market

Walid Ben Omrane () and Hervé Oppens
Additional contact information
Walid Ben Omrane: Université Catholique de Louvain
Hervé Oppens: Université Catholique de Louvain

A chapter in High Frequency Financial Econometrics, 2008, pp 199-223 from Springer

Abstract: We investigate the existence of chart patterns in the euro/dollar intradaily foreign exchange market. We use two identification methods of the different chart patterns: one built on 5-min close prices only, and one based on both 5-min low and high prices. We look for twelve types of chart patterns and we study the detected patterns through two criteria: predictability and profitability. We run a Monte Carlo simulation to compute the statistical significance of the obtained results. We find an apparent existence of some chart patterns in the currency market. More than one half of detected charts present a significant predictability. Nevertheless, only two chart patterns imply a significant profitability which is however too small to cover the transaction costs. The second extrema detection method provides higher but riskier profits than the first one.

Keywords: Foreign exchange market; Chart patterns; High frequency data; Technical analysis (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stecpp:978-3-7908-1992-2_9

Ordering information: This item can be ordered from
http://www.springer.com/9783790819922

DOI: 10.1007/978-3-7908-1992-2_9

Access Statistics for this chapter

More chapters in Studies in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:spr:stecpp:978-3-7908-1992-2_9