EconPapers    
Economics at your fingertips  
 

A symmetric Super Bowl stock market predictor model

Jeffery Born () and Yousra Acherqui

Financial Markets and Portfolio Management, 2015, vol. 29, issue 2, 115-124

Abstract: Krueger and Kennedy (J Fin 45:691–697, 1990 ) were the first to empirically document the remarkable stock market predictive power of the winner of the Super Bowl. The original model had investors go “long” in the market when the Super Bowl was won by a team from the old NFL, but park their money in T-Bills when the Super Bowl was won by a team from the old AFL—a non-symmetric trading rule. We create a symmetric rule (go “long” in the market when the old NFL wins; go “short” when they lose) and compare its efficacy to the original formulation. The symmetric rule outperforms the original KK specification in the period covered by their study (1967–1988), but performs worse than the original specification (and the naïve buy-and-hold strategy) since 1988. Copyright Swiss Society for Financial Market Research 2015

Keywords: Super Bowl; Stock market; Prediction model; Symmetric; G140 information; Market efficiency (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11408-015-0247-3 (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:kap:fmktpm:v:29:y:2015:i:2:p:115-124

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/11408/PS2

DOI: 10.1007/s11408-015-0247-3

Access Statistics for this article

Financial Markets and Portfolio Management is currently edited by Manuel Ammann

More articles in Financial Markets and Portfolio Management from Springer, Swiss Society for Financial Market Research Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:fmktpm:v:29:y:2015:i:2:p:115-124