EconPapers    
Economics at your fingertips  
 

In search of momentum profits: are they illusory?

Ivelina Pavlova and A. M. Parhizgari

Applied Financial Economics, 2011, vol. 21, issue 21, 1617-1639

Abstract: We test whether a Genetic Algorithm (GA) can find profitable investment strategies based on prior stock returns and earnings surprises. We add to the argument whether momentum investing profits are a statistical illusion. The performance of the optimized momentum portfolios is evaluated before and after trading costs, during different time periods, over two market states, and after adjusting for risk. The GA optimization improves the annual returns of the momentum strategies by 2% to 6%. After considering transaction costs, both price and earnings momentum portfolios do not appear to generate abnormal returns. Positive risk-adjusted returns net of trading costs are documented solely in the 'up' markets for a portfolio long in prior winners only.

Keywords: investment strategies; genetic algorithm (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/09603107.2011.589804 (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:taf:apfiec:v:21:y:2011:i:21:p:1617-1639

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAFE20

DOI: 10.1080/09603107.2011.589804

Access Statistics for this article

Applied Financial Economics is currently edited by Anita Phillips

More articles in Applied Financial Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apfiec:v:21:y:2011:i:21:p:1617-1639