How Do Neural Networks Enhance the Predictability of Central European Stock Returns?
Publisher InfoArticle provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver – Czech Journal of Economics and Finance. Volume (Year): 58 (2008) Issue (Month): 07-08 (Oktober) Pages: 358-376 Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF Handle: RePEc:fau:fauart:v:58:y:2008:i:7-8:p:358-376 Contact details of provider: Postal: Opletalova 26, CZ-110 00 Prague Phone: +420 2 222112330 Fax: +420 2 22112304 Email: liame2(‘cz’,’cuni’,’fsv’,’m7i7′,’ies’) Web page: http://ies.fsv.cuni.cz/ More information through EDIRC For technical questions regarding this item, or to correct its listing, contact: liame2(‘cz’,’cuni’,’fsv’,’m7i7′,’svarcova’) (Natálie Švarcová). Related researchKeywords: emerging stock markets; predictability of stock returns; neural networks; Find related papers by JEL classification: C45 – Mathematical and Quantitative Methods – – Ec