Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments
Te Bao,
Cars Hommes and
Tomasz Makarewicz
Economic Journal, 2017, vol. 127, issue 605, F581-F609
Abstract:
This experiment compares the price dynamics and bubble formation in an asset market with a price adjustment rule in three treatments where subjects: (1) submit a price forecast only; (2) choose quantity to buy/sell and (3) perform both tasks. We find deviation of the market price from the fundamental price in all treatments, but to a larger degree in treatments (2) and (3). Mispricing is therefore a robust finding in markets with positive expectation feedback. Some very large, recurring bubbles arise, where the price is three times larger than the fundamental value, which were not seen in former experiments.
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (46)
Downloads: (external link)
https://doi.org/10.1111/ecoj.12341
Related works:
Working Paper: Bubble Formation and (In)Efficient Markets in Learning-to-Forecast and -optimise Experiments (2015) 
Working Paper: Bubble Formation and (In)efficient Markets in Learning-to-Forecast and -Optimize Experiments (2014) 
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:wly:econjl:v:127:y:2017:i:605:p:f581-f609
Ordering information: This journal article can be ordered from
http://onlinelibrary ... 1111/(ISSN)1468-0297
Access Statistics for this article
Economic Journal is currently edited by Estelle Cantillon, Martin Cripps, Andrea Galeotti, Morten Ravn, Kjell G. Salvanes, Frederic Vermeulen, Hans-Joachim Voth and Rachel Kranton
More articles in Economic Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().