Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm
Armin Shmilovici (),
Yoav Kahiri,
Irad Ben-Gal () and
Shmuel Hauser ()
Computational Economics, 2009, vol. 33, issue 2, 154 pages
Keywords: Efficient Market Hypothesis; Universal prediction; Forex Intra-day trading; Variable Order Markov; G14; C22; C53; C49; C63; 62P05; 91B84; 62M20 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10614-008-9153-3 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm (2006)
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:kap:compec:v:33:y:2009:i:2:p:131-154
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-008-9153-3
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().