EconPapers    
Economics at your fingertips  
 

On the Measurement of Overconfidence: An Experimental Study

Markus Spiwoks and Kilian Bizer
Additional contact information
Markus Spiwoks: Ostfalia University of Applied Sciences, Faculty of Business, Siegfried-Ehlers-Str. 1, 38440 Wolfsburg, Germany
Kilian Bizer: Georg August University Göttingen, Faculty of Economic Sciences, Platz der Göttinger Sieben 3, 37073 Göttingen, Germany

International Journal of Economics and Financial Research, 2018, vol. 4, issue 1, 30-37

Abstract: This study addresses two methods commonly used to measure overconfidence and examines their reliability. It is shown that traditional methods of assessing subjective certainty concerning a given forecast can contribute to a systematic overestimation of overconfidence. It also becomes apparent that a common approach measuring relative overconfidence can cause a distortion of scientific results. This is particularly valid for study groups in which female and male participants are not equally represented.

Keywords: Behavioral finance; Experiments; Overconfidence; Stock price forecasts; Gender studies. (search for similar items in EconPapers)
JEL-codes: C99 D81 D84 G02 G17 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.arpgweb.com/pdf-files/ijefr4(1)30-37.pdf (application/pdf)
https://www.arpgweb.com/?ic=journal&journal=5&month=01-2018&issue=1&volume=4 (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:arp:ijefrr:2018:p:30-37

Access Statistics for this article

International Journal of Economics and Financial Research is currently edited by Dr. Abu Hassan Bin Md Isa

More articles in International Journal of Economics and Financial Research from Academic Research Publishing Group Rahim Yar Khan 64200, Punjab, Pakistan.
Bibliographic data for series maintained by Managing Editor ().

 
Page updated 2025-03-19
Handle: RePEc:arp:ijefrr:2018:p:30-37