EconPapers    
Economics at your fingertips  
 

ANALYSIS OF THE DISPOSITION EFFECT: ASYMMETRY AND PREDICTION ACCURACY

Florian Teschner

Journal of Prediction Markets, 2013, vol. 7, issue 1, 27-42

Abstract: The disposition effect describes investors’ common tendency of selling a winning investment too soon and holding on to losing investments too long. We analyze the disposition effect in a prediction market for economic indices. We show that the effect for individual traders as well as on an aggregated level. Furthermore we find a significant asymmetry of the disposition effect. The effect can almost exclusively be attributed to the percentage of gains realized (PGR). Additionally we link the aggregated disposition effect and market efficiency. A common hypothesis of the behavioral finance literature is that if participants make systematically biased decisions, market efficiency will suffer. Our setup is well-suited to studying the behavioral aspects of decision making because, in contrast to financial markets (i) the value of shares in our market is ultimately known and (ii) we can measure the participants’ behavioral biases (i.e the disposition effect). Against intuition we find no correlation between the disposition effect and prediction accuracy - a proxy for market efficiency.

Keywords: prediction markets; disposition effect; market efficiency (search for similar items in EconPapers)
JEL-codes: L83 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://ubplj.org/index.php/jpm/article/view/596 (text/html)

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:buc:jpredm:v:7:y:2013:i:1:p:27-42

Ordering information: This journal article can be ordered from
http://www.predictio ... ex_files/Page418.htm

Access Statistics for this article

Journal of Prediction Markets is currently edited by Leighton Vaughan Williams, Nottingham Business School

More articles in Journal of Prediction Markets from University of Buckingham Press
Bibliographic data for series maintained by Dominic Cortis, University of Malta ().

 
Page updated 2025-03-19
Handle: RePEc:buc:jpredm:v:7:y:2013:i:1:p:27-42