10. Modeling Cointegrated Time Series Associated with NBA and NFL Games

  1. William S. Mallios

Published Online: 5 MAY 2011

DOI: 10.1002/9780470880616.ch10

Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling

Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling

How to Cite

Mallios, W. S. (2010) Modeling Cointegrated Time Series Associated with NBA and NFL Games, in Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470880616.ch10

Author Information

  1. Craig School of Busines, California State University, Fresno, Fresno, California, USA

Publication History

  1. Published Online: 5 MAY 2011
  2. Published Print: 27 DEC 2010

ISBN Information

Print ISBN: 9780470484524

Online ISBN: 9780470880616

SEARCH

Keywords:

  • modeling cointegrated time series associated with NBA and NFL games - modeling simultaneous time series transition, financial to sports gambling markets;
  • modeling procedures, in New England Patriots 2008 play-off games' forecasting;
  • monitoring NBA referee performances

Summary

This chapter contains sections titled:

  • Modeling Transitions

  • The 2007–2008 New York Giants: As Unexpected as Katrina

  • Misery for the Patriot Faithful

  • The Pittsburgh Steelers in Super Bowl 2005

  • Miami's First NBA Title: 2005–2006

  • The 2006–2007 San Antonio Spurs: Unexpected Titlists

  • Monitoring NBA Referee Performances