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Analysis of Impact of Super Bowl on the Stock Market

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Analysis of Impact of Super Bowl on the Stock Market
ANALYSIS OF IMPACT OF SUPER BOWL ON THE STOCK MARKET

Abstract

The hypothesis of this research was that when the original National Football Conference (NFC) team wins the game, the U.S. stock market increases and when the American Football Conference (AFC) (except Cleveland, Pittsburg and Indianapolis) wins the Super Bowl the U.S. stock market decreases. Correlation analysis was used to determine this hypothesis of Super Bowl winner predicts U.S. stock market. The Super Bowl indicator has been accurate for 36 years out of 44 years (according to Dow Jones Industrial average), which represents a success rate of 81%. Between 1967 and 1997 it was accurate 28 times out of 31 (a better than 90%). To analyze this Super Bowl indicator, it was assumed that NFC wins as '1 ' and AFC wins as '0 '. We correlated the results when the NFC wins the game and the AFC wins the game from 1967 to 2010.

Table of Contents

Abstract i
List of Tables iii
Introduction 1
Literature Review 1
Theory 2
Hypothesis 3
Methodology 4 Data Description and Collection 4 Statistical techniques used 6
Analysis of findings 7
Summary 8
Conclusion 9
Exhibit 1 10
Exhibit 2 11
Exhibit 3 11
References 12

List of Tables

1) Changes in the Standard & Poor 's 500 Index as a Function of Super Bowl Victor……………3
2) Super Bowl winners and changes in DJIA, 1967-2010..............................................................4
3) Regression analysis results for 1967-1988 and 1967-2010........................................................8

Introduction

The literature illustrated that the Super Bowl winner was the forecaster of U.S. stock market that year. The first Super Bowl was started in 1967 and there were 45 games played up to 2011. Up to 1970, there were two teams that played in the Super Bowl, the National Football League (NFL) and the American Football League (AFL). In 1970, both of these teams were merged and formed the National Football League (NFL). The



References: David Harville, ‘Predictions for National Football League Games via Linear-Model methodology’, Journal of the American Statistical Association, September 1980, Vol. 75, No.371, pp. 516-524. Edward A. Dyl, John D. Schatzberg, ‘Did Joe Montana Save the Stock market?’, Financial Analysts Journal, Sep/Oct 1989, Vol. 45 Issue 5, p4. Norris, Floyd. 'Market Place; The market predicts the Super Bowl and vice versa, so they say. ' New York Times 16 Jan. 1996. Academic One File. Web. 10 Nov. 2010. Norris, Floyd. 'The Super Bowl predicts the market, and vice versa. ' New York Times 24 Jan. 1997. Academic One File. Web. 29 Mar. 2011. Paul M. Summers, ‘The Super Bowl Theory: Fourth and Long’, The College Mathematics Journal, May 2000, Vol. 31, No. 3, pp. 189-192. Philip K. Gray and Stephen F. Gray, ‘Testing Market Efficiency: Evidence from the NFL Sports Betting Market’, The Journal of Finance, September 1997, Vol. LII, No. 4, pp.1725-1737. Robert H. Stovall, ‘The Super Bowl Predictor’, Financial World, January 24, 1989, Vol.158, No.2, p72 (1).  Thomas M. Krueger, William F Kennedy, ‘An Examination of the Super Bowl Stock Market Predictor’, Journal of Finance, June1990, Vol.45 Issue 2, pp. 691-697. Yiling Chen, Chao-Hsien Chu, Tracy Mullen and David M. Pennock, ‘Information Markets vs. Opinion Pools: An Empirical Comparison’, Proceedings of the 6th ACM conference on Electronic commerce, 2005, pp. 58-67.

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