Risk or Sentiment: Value and Size Premium under Terrorism
Tanveer Ahmad,
Syed Jawad Hussain Shahzad and
Mobeen ur Rehman
MPRA Paper from University Library of Munich, Germany
Abstract:
This study aims to identify the effect of terrorism on size and value premium using value weighted monthly returns for non-financial firms from January 2001 to December 2010. In addition to Independent size and BE/ME sorted portfolios, two dimensional portfolio formation methodology of Dimson, Nagel, and Quigley (2003) is also used. The results reveal that market, size, value premium and terrorism have a significant positive impact on stock returns. The study further suggests that value and size premiums are dependent on the level of psychosocial impact caused by terrorist incidents. Findings suggest that the small stocks generate higher returns than large stocks and the size premium occurs mainly during the months of higher terrorism activities. In contrast, value premium is more profound during the months of low (high) terrorist activities for portfolios sorted on one (two) dimension. This indicates that both size and BE/ME premiums are effected by investors sentiment.
Keywords: Value premium; size premium; terrorism; Pakistan. (search for similar items in EconPapers)
JEL-codes: G02 G12 (search for similar items in EconPapers)
Date: 2014-11-15
New Economics Papers: this item is included in nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/60027/1/MPRA_paper_60027.pdf original version (application/pdf)
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:pra:mprapa:60027
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().