Loss aversion and mental accounting: the favorite longshot bias in parimutuel betting
AbstractParimutuel betting markets are simpliï¬ed ï¬nancial markets, and can thus provide a clearer view of pricing issues which are more complicated elsewhere. Though empirical studies generally conclude that the parimutuel betting markets are surprisingly effcient, it is also found that for horses with lowest odds (favorites), market estimates of winning probabilities are smaller than objective winning probabilities; for horses with highest odds (longshot), the opposite is observed. This phenomenon, called the favorite longshot bias, has many explanations such as risk seeking preference, transaction costs, and non-linear transformation of probabilities into decision weights, etc. This paper combines loss aversion with mental accounting, and provides a new explanation for the favorite longshot bias. We show that the bias exists in the absence of all above mentioned reasons, and the degree of the bias differs depending on the type of the mental accounting process that bettors apply.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics in its series Jena Economic Research Papers with number 2007-017.
Date of creation: 30 May 2007
Date of revision:
loss aversion; mental accounting; parimutuel betting; favorite longshot bias;
Other versions of this item:
- Jianying Qiu, 2009. "Loss aversion and mental accounting: The favorite-longshot bias in parimutuel betting," Working Papers 2009-15, Faculty of Economics and Statistics, University of Innsbruck.
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D40 - Microeconomics - - Market Structure and Pricing - - - General
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Frederic Koessler & Ch. Noussair & A. Ziegelmeyer, 2005. "Individual Behavior and Beliefs in Experimental Parimutuel Betting Markets," THEMA Working Papers 2005-08, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédéric Koessler & Anthony Ziegelmeyer & Marie-Hélène Broihanne, 2003.
"The Favorite-Longshot Bias in Sequential Parimutuel Betting with Non-Expected Utility Players,"
Theory and Decision,
Springer, vol. 54(3), pages 231-248, May.
- Frédéric KOESSLER & Anthony ZIEGELMEYER & Marie-Hélène BROIHANNE, 2002. "The Favorite-Longshot Bias in Sequential parimutuel Betting with Non-Expected Utility Players," Working Papers of BETA 2002-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Marco Ottaviani & Peter Norman Sørensen, 2004. "The Timing of Bets and the Favorite-Longshot Bias," FRU Working Papers 2004/12, University of Copenhagen. Department of Economics. Finance Research Unit.
- Frederic Koessler & Charles Noussair & Anthony Ziegelmeyer, 2007.
"Information Aggregation and Beliefs in Experimental Parimutuel Betting Markets,"
Jena Economic Research Papers
2007-033, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
- FrÃ©dÃ©ric Koessler & Charles Noussair & Anthony Ziegelmeyer, 2007. "Information Aggregation and Beliefs in Experimental Parimutuel Betting Markets," Papers on Strategic Interaction 2005-12, Max Planck Institute of Economics, Strategic Interaction Group.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Markus Pasche).
If references are entirely missing, you can add them using this form.