Value investor anomaly: return enhancement by portfolio replication—an empiric portfolio strategy analysis

Gregor Elze ()

Central European Journal of Operations Research, 2012, vol. 20, issue 4, 633-647

Abstract: Empirical analyses have consistently confirmed problems with the efficient market hypothesis. In this article light is shed on another market anomaly examining the use of publicly available information from value style investors proven to be using long-term successful value investment strategies. It can be shown that utilizing this information to form portfolios based on different investment strategies results in returns above the market return, violating the efficient market hypothesis. Additionally it can be shown that these strategies can be implemented without capturing higher risks applying traditional risk measures. Copyright Springer-Verlag 2012

Keywords: Value investing; Behavioral finance; Anomaly (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10100-011-0214-7 (text/html)
Access to full text is restricted to subscribers.

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:cejnor:v:20:y:2012:i:4:p:633-647

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100

DOI: 10.1007/s10100-011-0214-7

Access Statistics for this article

Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().